#artificial intelligence video lectures
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To any Genshin players contemplating Duolingo:
I'm not a hater out of elitism. Actually, I think that free language learning resources are wonderful! Back when Duolingo hadn't gone full AI and I was a high schooler on an allowance, it helped me with Spanish 101 ffs. Unfortunately, it seems that the priority is now more on the quirky ad budget and less on actually providing students with a quality learning resource that feels like a game.
Anyways, I'm on lingodeer for Spanish and Korean nowadays (but the app is paid). Bought a year's subscription during a winter sale for $80 USD. The grammar explainers are very clear and the app has limited gamification via streaks. Cake is more focused on speaking and has lots of video lectures. Also paid, got yearly sub on winter sale for $75.
If you're on Webtoon, the international build lets you swap languages without geoblocking (and the Spanish and French sections are pretty extensive, for anyone taking school classes in these). I've found it to be a fun reading practice that displaced my bad habit of social media before bedtime. You can also start an account on Kakao Page for webtoons in Korean. Only caveat is you'll be reading in a mobile browser bc the app isn't internationally distributed and I don't endorse installing from APK. Security issues for the device and I've previously been banned from online games bc this is technically a TOS violation apparently. Can't rec Naver Webtoon (the Korean build of Webtoon) in good conscience bc I found their account setup process too troublesome and quit.
You can take free Korean 101 classes from a public uni via King Sejong Institute's site at iksi.or.kr. I've been finding their explainers very straightforward. They offer both asynchronous and Zoom classes. If your fam has Netflix, also install the Language Reactor extension in chrome for bilingual subtitles and a hover-over dictionary. Start with slice-of-life shows bc they drop lots of useful vocab.
You can also browse around Coursera's language learning section bc yeah, you actually can take a free college class there. It's basically youtube for college classes, I suppose. Including Spanish ones from UC Davis.
This is specifically aimed at the schoolkids who play Genshin. I just think that y'all deserve better than an AI textbook with a genius social media marketing team.
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Free AI Tools
Artificial Intelligence (AI) has revolutionized the way we work, learn, and create. With an ever-growing number of tools, it’s now easier than ever to integrate AI into your personal and professional life without spending a dime. Below, we’ll explore some of the best free AI tools across various categories, helping you boost productivity, enhance creativity, and automate mundane tasks.
Wanna know about free ai tools
1. Content Creation Tools
ChatGPT (OpenAI)
One of the most popular AI chatbots, ChatGPT, offers a free plan that allows users to generate ideas, write content, answer questions, and more. Its user-friendly interface makes it accessible for beginners and professionals alike.
Best For:
Writing articles, emails, and brainstorming ideas.
Limitations:
Free tier usage is capped; may require upgrading for heavy use.
Copy.ai
Copy.ai focuses on helping users craft engaging marketing copy, blog posts, and social media captions.
2. Image Generation Tools
DALL·EOpenAI’s DALL·E can generate stunning, AI-created artwork from text prompts. The free tier allows users to explore creative possibilities, from surreal art to photo-realistic images.
Craiyon (formerly DALL·E Mini)This free AI image generator is great for creating quick, fun illustrations. It’s entirely free but may not match the quality of professional tools.
3. Video Editing and Creation
Runway MLRunway ML offers free tools for video editing, including AI-based background removal, video enhancement, and even text-to-video capabilities.
Pictory.aiTurn scripts or blog posts into short, engaging videos with this free AI-powered tool. Pictory automates video creation, saving time for marketers and educators.
4. Productivity Tools
Notion AINotion's AI integration enhances the already powerful productivity app. It can help generate meeting notes, summarize documents, or draft content directly within your workspace.
Otter.aiOtter.ai is a fantastic tool for transcribing meetings, interviews, or lectures. It offers a free plan that covers up to 300 minutes of transcription monthly.
5. Coding and Data Analysis
GitHub Copilot (Free for Students)GitHub Copilot, powered by OpenAI, assists developers by suggesting code and speeding up development workflows. It’s free for students with GitHub’s education pack.
Google ColabGoogle’s free cloud-based platform for coding supports Python and is perfect for data science projects and machine learning experimentation.
6. Design and Presentation
Canva AICanva’s free tier includes AI-powered tools like Magic Resize and text-to-image generation, making it a top choice for creating professional presentations and graphics.
Beautiful.aiThis AI presentation tool helps users create visually appealing slides effortlessly, ideal for professionals preparing pitch decks or educational slides.
7. AI for Learning
Duolingo AIDuolingo now integrates AI to provide personalized feedback and adaptive lessons for language learners.
Khanmigo (from Khan Academy)This AI-powered tutor helps students with math problems and concepts in an interactive way. While still in limited rollout, it’s free for Khan Academy users.
Why Use Free AI Tools?
Free AI tools are perfect for testing the waters without financial commitments. They’re particularly valuable for:
Conclusion
AI tools are democratizing access to technology, allowing anyone to leverage advanced capabilities at no cost. Whether you’re a writer, designer, developer, or educator, there’s a free AI tool out there for you. Start experimenting today and unlock new possibilities!
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AI could improve your life by removing bottlenecks between what you want and what you get
by Bruce Schneier, Adjunct Lecturer in Public Policy, Harvard Kennedy School
Artificial intelligence is poised to upend much of society, removing human limitations inherent in many systems. One such limitation is information and logistical bottlenecks in decision-making.
Traditionally, people have been forced to reduce complex choices to a small handful of options that don’t do justice to their true desires. Artificial intelligence has the potential to remove that limitation. And it has the potential to drastically change how democracy functions.
AI researcher Tantum Collins and I, a public-interest technology scholar, call this AI overcoming “lossy bottlenecks.” Lossy is a term from information theory that refers to imperfect communications channels – that is, channels that lose information.
Multiple-choice practicality
Imagine your next sit-down dinner and being able to have a long conversation with a chef about your meal. You could end up with a bespoke dinner based on your desires, the chef’s abilities and the available ingredients. This is possible if you are cooking at home or hosted by accommodating friends.
But it is infeasible at your average restaurant: The limitations of the kitchen, the way supplies have to be ordered and the realities of restaurant cooking make this kind of rich interaction between diner and chef impossible. You get a menu of a few dozen standardized options, with the possibility of some modifications around the edges.
That’s a lossy bottleneck. Your wants and desires are rich and multifaceted. The array of culinary outcomes are equally rich and multifaceted. But there’s no scalable way to connect the two. People are forced to use multiple-choice systems like menus to simplify decision-making, and they lose so much information in the process.
People are so used to these bottlenecks that we don’t even notice them. And when we do, we tend to assume they are the inevitable cost of scale and efficiency. And they are. Or, at least, they were.
The possibilities
Artificial intelligence has the potential to overcome this limitation. By storing rich representations of people’s preferences and histories on the demand side, along with equally rich representations of capabilities, costs and creative possibilities on the supply side, AI systems enable complex customization at scale and low cost. Imagine walking into a restaurant and knowing that the kitchen has already started work on a meal optimized for your tastes, or being presented with a personalized list of choices.
There have been some early attempts at this. People have used ChatGPT to design meals based on dietary restrictions and what they have in the fridge. It’s still early days for these technologies, but once they get working, the possibilities are nearly endless. Lossy bottlenecks are everywhere.Imagine a future AI that knows your dietary wants and needs so well that you wouldn’t need to use detail prompts for meal plans, let alone iterate on them as the nutrition coach in this video does with ChatGPT.
Take labor markets. Employers look to grades, diplomas and certifications to gauge candidates’ suitability for roles. These are a very coarse representation of a job candidate’s abilities. An AI system with access to, for example, a student’s coursework, exams and teacher feedback as well as detailed information about possible jobs could provide much richer assessments of which employment matches do and don’t make sense.
Or apparel. People with money for tailors and time for fittings can get clothes made from scratch, but most of us are limited to mass-produced options. AI could hugely reduce the costs of customization by learning your style, taking measurements based on photos, generating designs that match your taste and using available materials. It would then convert your selections into a series of production instructions and place an order to an AI-enabled robotic production line.
Or software. Today’s computer programs typically use one-size-fits-all interfaces, with only minor room for modification, but individuals have widely varying needs and working styles. AI systems that observe each user’s interaction styles and know what that person wants out of a given piece of software could take this personalization far deeper, completely redesigning interfaces to suit individual needs.
Removing democracy’s bottleneck
These examples are all transformative, but the lossy bottleneck that has the largest effect on society is in politics. It’s the same problem as the restaurant. As a complicated citizen, your policy positions are probably nuanced, trading off between different options and their effects. You care about some issues more than others and some implementations more than others.
If you had the knowledge and time, you could engage in the deliberative process and help create better laws than exist today. But you don’t. And, anyway, society can’t hold policy debates involving hundreds of millions of people. So you go to the ballot box and choose between two – or if you are lucky, four or five – individual representatives or political parties.
Imagine a system where AI removes this lossy bottleneck. Instead of trying to cram your preferences to fit into the available options, imagine conveying your political preferences in detail to an AI system that would directly advocate for specific policies on your behalf. This could revolutionize democracy.Ballots are bottlenecks that funnel a voter’s diverse views into a few options. AI representations of individual voters’ desires overcome this bottleneck, promising enacted policies that better align with voters’ wishes. Tantum Collins, CC BY-ND
One way is by enhancing voter representation. By capturing the nuances of each individual’s political preferences in a way that traditional voting systems can’t, this system could lead to policies that better reflect the desires of the electorate. For example, you could have an AI device in your pocket – your future phone, for instance – that knows your views and wishes and continually votes in your name on an otherwise overwhelming number of issues large and small.
Combined with AI systems that personalize political education, it could encourage more people to participate in the democratic process and increase political engagement. And it could eliminate the problems stemming from elected representatives who reflect only the views of the majority that elected them – and sometimes not even them.
On the other hand, the privacy concerns resulting from allowing an AI such intimate access to personal data are considerable. And it’s important to avoid the pitfall of just allowing the AIs to figure out what to do: Human deliberation is crucial to a functioning democracy.
Also, there is no clear transition path from the representative democracies of today to these AI-enhanced direct democracies of tomorrow. And, of course, this is still science fiction.
First steps
These technologies are likely to be used first in other, less politically charged, domains. Recommendation systems for digital media have steadily reduced their reliance on traditional intermediaries. Radio stations are like menu items: Regardless of how nuanced your taste in music is, you have to pick from a handful of options. Early digital platforms were only a little better: “This person likes jazz, so we’ll suggest more jazz.”
Today’s streaming platforms use listener histories and a broad set of features describing each track to provide each user with personalized music recommendations. Similar systems suggest academic papers with far greater granularity than a subscription to a given journal, and movies based on more nuanced analysis than simply deferring to genres.
A world without artificial bottlenecks comes with risks – loss of jobs in the bottlenecks, for example – but it also has the potential to free people from the straightjackets that have long constrained large-scale human decision-making. In some cases – restaurants, for example – the impact on most people might be minor. But in others, like politics and hiring, the effects could be profound.
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Analysis of: "From Brain to AI and Back" (academic lecture by Ambuj Singh)
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The term "document" in the following text refers to the video's subtitles.
Here is a summary of the key discussions:
The document describes advances in using brain signal recordings (fMRI) and machine learning to reconstruct images viewed by subjects.
Challenges include sparseness of data due to difficulties and costs of collecting extensive neural recordings from many subjects.
Researchers are working to develop robust models that can generalize reconstruction capabilities to new subjects with less extensive training data.
Applications in medical diagnosis and lie detection are possibilities, but risks of misuse and overpromising on capabilities must be carefully considered.
The genre of the document is an academic lecture presenting cutting-edge neuroscience and AI research progress to an informed audience.
Technical content is clearly explained at an advanced level with representative examples and discussion of challenges.
Ethical implications around informed consent, privacy, and dual-use concerns are acknowledged without overstating current capabilities.
While more information is needed, the presentation style and framing of topics skews towards empirical science over opinion or fiction.
A wide range of stakeholders stand to be impacted, so responsible development and governance of emerging neural technologies should involve multidisciplinary input.
Advancing both basic scientific understanding and more human-like machine learning is a long-term motivation driving continued innovation in this important field.
Here is a summary of the key points from the document:
The speaker discusses advances in using brain signal recordings (fMRI) to reconstruct images that a person is viewing by training AI/machine learning models.
An example is shown where the top row is the actual image viewed and the bottom row is the image reconstructed from the person's brain signals.
Larger datasets with brain recordings from multiple subjects are allowing better models to be developed that may generalize to new subjects.
Challenges include the sparseness of brain signal data due to the difficulty and costs of collecting it from many subjects.
A model is presented that maps brain signals to a joint embedding space of images and text, allowing reconstruction of novel images from new brain signals.
Examples are shown where the reconstructed images match fairly well or not as well depending on image details and semantics.
Issues around ethics, risks of misuse, and questions of explaining and improving the models are discussed.
Ongoing work aims to address challenges around transferring models between subjects and measuring reconstruction performance.
Based on the content and style of the document, it appears to be an academic lecture or presentation.
Key evidence points include:
The document consists primarily of a speaker talking and presenting slides/examples to an audience, as indicated by phrases like "Let me just start with this" and an applause at the end.
Technical topics from neuroscience and machine learning/AI are discussed in detail, such as fMRI brain recordings, reconstructing images from brain signals, modeling approaches, dataset descriptions, and challenges/questions in the field.
Academic concepts like human subjects studies, building models, transferring learning, and measuring performance are referred to.
The presentation of information is intended to educate the audience on the state of the field and cuttting edge research, not just entertain.
There are no narratives, characters or creative storytelling elements - it adheres strictly to explaining complex technical content.
Therefore, based on the instructive/educational style and focus on explaining advanced technical research, I would classify the genre of this document as an academic lecture/presentation intended to inform an audience about progress in the domain of neuroscience and artificial intelligence.
Here are some of the key stakeholders that could be affected by the content and topics discussed in this document:
Neuroscience researchers - Directly interested and impacted by advances reported from their field of study. Progress informs future research directions.
AI/machine learning researchers - Models and challenges discussed could inspire new research at the intersection of AI and neuroscience. Transfer of model techniques.
Medical/clinical communities - Potential applications to diagnosis, personalized medicine if models can accurately reconstruct brain states. Raises ethical issues.
Government research agencies - Fund future related research based on understanding of opportunities and challenges conveyed. Evaluates societal impacts.
General public - Increased understanding of science helps engagement but topics like brain reading raise public concerns around privacy, consent if translated beyond research.
Research participants - Summary does not disclose identities but motivates others to contribute data for progress. Well-being depends on responsible use of data.
Technology companies - Commercial opportunities from real-world applications but also reputational risks if misused. Data ownership questions.
Academic institutions - Collaborations, education of next generations of researchers on cutting-edge topics is enabled through open dissemination of knowledge.
Overall the document provides value to a wide range of stakeholders by communicating the state and potential implications of this multidisciplinary area of neuroscience and AI research. Responsible stewardship is important given several ethical considerations.
Here is a summary of the key points about advances in using brain signal recordings from the document:
Researchers are using fMRI to record brain signals as people view images, in order to reconstruct the viewed images from the brain activity patterns alone.
Machine learning models, especially neural networks, are allowing researchers to train mappings from brain signals to representations of semantic content like images and text.
Examples show the capability of reconstructing fairly accurate images that a person viewed, based solely on their brain activity recordings during viewing.
Larger datasets with multiple subjects are important to develop models that may generalize beyond individual subjects. However, fMRI data is very difficult and expensive to collect at scale.
Advances now allow reconstruction of more complex stimuli like full stories a person reads, not just static images.
Ongoing work aims to better understand brain learning processes and apply those principles to more human-like machine learning architectures.
Analyzing brain recordings also has potential applications for medical diagnosis, lie detection, personalized medicine as models improve.
Ethics must be carefully considered to ensure technologies for reading neural signals are developed and applied responsibly and avoid misuse or privacy violations.
So in summary, the document outlines significant progress using machine learning on brain recordings to reconstruct sensory experiences, with applications and open questions that can further both neuroscience and AI.
Here is a summary of the key points about the sparseness of brain signal data:
Collecting fMRI brain signal recordings from large numbers of subjects is extremely challenging and costly due to the resources and time required.
Each recording session with a single subject takes considerable time, as the number of images/stimuli that can be presented is limited within a session.
Collecting data from a single subject sufficient for training complex models may require recording sessions over multiple days or weeks.
As a result, publicly available datasets typically contain recordings from only a small number of subjects, often under 10.
The sparseness of data makes it difficult to develop robust models that will generalize well to new subjects that lack extensive recordings.
Researchers aim to better leverage smaller datasets by training models that can reconstruct novel stimuli from just a subset of training data per subject.
If successful, this could enable more efficient data collection, such as obtaining usable models from a subject after a single shorter session rather than many long sessions.
However, overcoming the sparseness of brain signal data remains a major challenge holding back progress in the field. Larger collaborative datasets are needed.
So in summary, sparse data severely limits progress but also motivates techniques to optimize learning from limited samples per subject.
Here is a summary of key points regarding risks of misuse from the document:
Advances in reconstructing cognitive states like images viewed from brain recordings raise potential dual-use concerns if technologies are not regulated.
Applications in medical diagnosis and lie detection could help many, but lead to issues if used without consent or for non-medical surveillance.
Overly ambitious claims about capabilities need to be avoided to prevent misleading expectations that could fuel inappropriate usage assumptions.
Privacy and security of sensitive neural data must be prioritized to prevent potential misuse for profiling, identification or manipulation without oversight.
Commercial pressures may incentivize premature deployment before understanding implications, so continued research is important.
Public education about limitations and complexities involved can help curb fears that fuel misuse if capabilities are overestimated.
Multidisciplinary cooperation ensures societal and ethical issues are considered proactively rather than reactively addressed later.
Governance frameworks may be needed to steer applications toward public benefit rather individual or state abuse of personal mental information.
The speaker acknowledges misuse risks to inform discussion and underscore the importance of ongoing examination of new neural technologies through multidisciplinary lens including ethics.
Based on the content and style of presentation, my evaluation of the document status is:
Science vs Fiction: Clearly grounded in science as it discusses ongoing empirical research studies using neuroimaging and machine learning techniques. No fictional or hypothetical elements.
Empirical vs Anecdotal: Empirical in nature, rooted in dataset collection from human subjects and quantitative modeling/evaluation, not personal experience. While data quantities are limited, research follows scientific method.
Fact vs Opinion: Primarily presents technical details and research findings as established facts from the literature. Does not advance strong personal opinions beyond realistic discussion of challenges. Maintains an objective tone.
Objective vs Subjective: Remains objective in explaining research accomplishments and questions objectively without emotive language or bias. Any subjective experience like dataset limitations are clearly labeled as such. Presentation aims for factual information transfer.
In summary, while farther research is still ongoing, the document presents the current state of a scientific research domain factually based on empirical evidence and quantitative analysis published in the field. It does not intermingle non-factual elements or stray from an objective reporting of the topic at hand. The status therefore skews heavily toward science, empiricism, fact and objectivity.
I did not identify any logical fallacies in the content or arguments presented in this document.
The speaker objectively summarizes established research results and proposals, without making assertions that require logical scrutiny.
Some key reasons why logical fallacies are not present include:
No causal claims are made without proper evidence or empirical support from published studies. Progress is tied to concrete research efforts.
No arguments are constructed through flawed reasoning or non sequiturs. Concepts are explained clearly and build upon each other logically.
Comparisons to other approaches are fair without strawman misrepresentations of opposing ideas. Related work is acknowledged.
Limitations and open challenges are candidly outlined rather than ignored or obscured through fallacious defense.
No emotional, exaggerated or politically motivated language is used that could constitute emotional appeals. Tone remains factual.
No false dilemmas or false attributions of complexity are presented. Discussions appropriately scope multi-factor research questions.
No hasty generalizations are made from limited evidence. Data constraints are clearly communicated.
Overall, through objectively summarizing established neuroscience and AI research domains and techniques, without engaging in argument or debate, I did not find any logical fallacies employed in this academic information-sharing document. The focus appears to be factual reporting of progress and issues, avoiding fallacious reasoning.
Here is an evaluation of the ethics addressed and considered in the document:
Informed consent is implied but not explicitly discussed for research participants. Given the sensitivity of brain data, proper protocols were likely followed.
Privacy and anonymity of participants is a concern, but cannot be fully assessed without more details on the dataset and review process.
Potential dual-use issues around brain reading/reconstruction technologies are identifed by discussing applications but also worries about misuse or lack of oversight. This shows awareness of ethical implications.
Limitations and challenges and openly discussed, avoiding overpromising on capabilities. This establishes credibility and sets appropriate expectations.
Societal impacts and usage beyond research (e.g. diagnostics) are flagged as requiring careful consideration of risks like surveillance, discrimination if not regulated properly.
No claims are made without empirical evidence, showing results are driven by facts rather than desires which can bias judgment. Objectivity helps ethical analysis.
Multidisciplinary collaboration is emphasized , suggesting diverse viewpoints were incorporated into the research process.
Overall, while full review details are not provided, the document demonstrates an awareness of important ethical considerations around privacy, consent and responsible development for these sensitive types of neural data and technologies. A balanced assessment of opportunities and risks is conveyed.
Here are the usual evaluation criteria for an academic lecture/presentation genre and my evaluation of this document based on each criteria:
Clarity of explanation: The concepts and technical details are explained clearly without jargon. Examples enhance understanding. Overall the content is presented in a clear, logical manner.
Depth of technical knowledge: The speaker demonstrates thorough expertise and up-to-date knowledge of the neuroscience and AI topics discussed, including datasets, modeling approaches, challenges and future directions.
Organization of information: The presentation flows in a logical sequence, with intro/overview, detailed examples, related work, challenges/future work. Concepts build upon each other well.
Engagement of audience: While an oral delivery is missing, the document seeks to engage the audience through rhetorical questions, previews/reviews of upcoming points. Visuals would enhance engagement if available.
Persuasiveness of argument: A compelling case is made for the value and progress of this important multidisciplinary research area. Challenges are realistically discussed alongside accomplishments.
Timeliness and relevance: This is a cutting-edge topic at the forefront of neuroscience and AI. Advances have clear implications for the fields and wider society.
Overall, based on the evaluation criteria for an academic lecture, this document demonstrates strong technical expertise, clear explanations, logical organization and timely relevance to communicate progress in the domain effectively to an informed audience. Some engagement could be further enhanced with accompanying visual/oral presentation.
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#Neuroscience#Brainimaging#Neurotechnology#FMRI#Neuroethics#BrainComputerInterfaces#AIethics#MachineLearning#NeuralNetworks#DeepLearning#DataPrivacy#InformationSecurity#DigitalHealth#MentalHealth#Diagnostics#PersonalizedMedicine#DualUseTech#ResearchEthics#ScienceCommunication#Interdisciplinary#Policymaking#Regulation#ResponsibleInnovation#Healthcare#Education#InformedConsent#Youtube
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Now And Then
Headlines this morning are proclaiming that SAG-AFTRA (the screen actors guild) and Hollywood studios have reached a tentative agreement. That’s good for everyone, including fans, because it means that new content can be created for our viewing pleasure.
One of the major bones of contention in the strike was the possible use of AI not only to write scripts, but also be used to create audio and video in the likeness of stars. It is a very real possibility, and AI capabilities have advanced so much in recent months and years that it could happen, and completely without the permission of anyone being imitated.
But what if a project of this sort were actually initiated—and approved—by artists who tapped into AI capabilities to produce content of someone who is long deceased? That is precisely what Paul McCartney and Ringo Starr—the surviving members of the Beatles—did. Last week what is quite likely the last song ever by the Beatles to be released was unleashed to the world.
The song, Now And Then, was written by John Lennon, and had only been recorded as a crude demo on a cassette player in 1977. He had written it while living at the Dakota Hotel in NYC, and simply recorded it while at the piano. John’s wife, Yoko Ono, gave the cassette tape to Paul in 1994, but it could not be used in a subsequent effort at the time to produce a post-mortem anthology. The piano and vocal tracks could not be isolated.
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Lennon was shot and killed in New York City on the evening of 8th December 1980. When that 90s project was underway, George Harrison was still alive. Alas, he died on 29th November 2001 of cancer. That left Paul and Ringo to do this project in the modern era.
And were it not for AI, this never would have happened. It should be noted that the new song is John’s real voice, not “AI John.” Artificial Intelligence was used to separate the original vocal from the piano, and then enhance Lennon’s vocals.
So while critics of AI need to mull that over and accept this was really a high-tech editing project, there remains the possibility that far more could be done. For example, I have extensive audio of my father telling stories while he was yet alive. Not only could I feed those into AI for enhancement, but I could tell the AI machine to create new audio content in the voice and style of my late father, using a script that I would feed it.
Now imagine a professor—someone, maybe me, maybe someone else—doing the same thing. It takes a long time to create long-form lecture audio files. Not just for the speaking part, but also for the multiple takes required when the prof stumbles or coughs. It’s one thing for this prof to do the audio recording of blogs like this every morning, because they are only five to seven minutes long. It is quite another when you’ve got thousands of words to speak.
For that matter, Voice Actors could be put out of business if we’re not careful. All those audio books on Audible could be created with the click of a few buttons, having uploaded a voice sample. And while we’re at it, why not audio text books? Sheesh. That’s an idea that should have been done years ago.
Meanwhile, I am loving the Beatles’ new song. I know. I am old like that. But in my defense, my two 20-something daughters love the Beatles, too. I credit that to good upbringing, and them growing up surrounded by 60s- and 70s-era music. You might call that punishment, but they rather like it.
Turn it up and enjoy the song, because it’s the last time you’ll ever hear them together. Even if they aren’t. Dr “AI To The Rescue” Gerlich
Audio Blog
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#aiapps#aisoftware#aitools#artificialintelligencetools#bestaitools#designtools#educationtools#generative-ai#marketingtools#productivitytools#topaitools
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The future of note-taking how AI will revolutionize your second brain
The Future of Note-Taking: How AI will Revolutionize Your Second Brain
In today's fast-paced world, note-taking has become an essential tool for individuals and organizations looking to capture and retain information for future use. From students, business professionals, to researchers, note-taking has become ubiquitous, and with the advancement of technology, the future of note-taking is set to change significantly, with artificial intelligence (AI) poised to revolutionize the way we capture, organize, and retrieve information.AI is not a new concept, but it's application in note-taking is a relatively new development. AI is set to become an essential tool for individuals and organizations looking to capture and retain information for future use. In this blog post, we will explore how AI will transform note-taking and the benefits it will bring. Improved Organization and RetrievalOne of the key advantages of using AI in note-taking is the improved organization and retrieval of information. AI-powered note-taking applications can analyze and categorize notes based on keywords, topics, and themes. This feature eliminates the need for manual sorting and helps users find information quickly and easily. For example, if you take notes during a meeting, an AI-powered note-taking app can automatically categorize your notes based on the attendees, topics discussed, and important takeaways. This makes it easier to find specific information quickly and saves time.With AI-powered note-taking apps, users can easily track their notes and retrieve them when needed. An AI-powered note-taking app such as Evernote uses machine learning to analyze the user's notes and make suggestions based on the content of the note. This feature makes note-taking more efficient, accurate, and effective. Personalized Recommendations Another benefit of using AI in note-taking is personalized recommendations. AI-powered note-taking apps can analyze a user's notes, interests, and preferences to make personalized recommendations for related content. This feature helps users discover new topics, expand their knowledge, and make connections between different ideas. For example, if you take notes on a particular topic, an AI-powered note-taking app can recommend related articles, videos, or podcasts that you may find interesting. This feature can help users stay informed and up-to-date on the latest trends and developments in their areas of interest. AI-powered note-taking apps can also provide context to the user's notes by making connections to other notes and information available online. This feature can help users gain a deeper understanding of the information they have captured, and make connections between different ideas. Natural Language Processing The third way AI will revolutionize note-taking is through natural language processing (NLP). NLP is a branch of AI that focuses on the interaction between humans and computers using natural language. AI-powered note-taking apps using NLP can understand and interpret the user's notes, allowing for more accurate categorization and analysis. This feature improves the quality of the notes and makes it easier to extract useful information. For example, if you take notes during a lecture, an AI-powered note-taking app can automatically identify and highlight key points, making it easier to study and review the material later. AI-powered note-taking apps can also identify patterns and trends in the user's notes, providing insights that would otherwise be difficult to uncover. For example, an AI-powered note-taking app can identify patterns in a user's notes and suggest ways to improve their productivity and effectiveness. AI is set to revolutionize note-taking, bringing significant benefits to individuals and organizations. With improved organization and retrieval, personalized recommendations, and natural language processing, note-taking will become more efficient, accurate, and effective. As we move towards a more digital and connected world, AI-powered note-taking apps will become an essential tool for individuals and organizations looking to capture and retain information for future use. The future of note-taking is here, and AI is leading the way. With AI-powered note-taking apps, individuals and organizations can take their note-taking to the next level, making it more efficient, accurate, and effective. The benefits of using AI in note-taking are clear, and it's only a matter of time before AI-powered note-taking apps become ubiquitous. Read the full article
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Transforming CA Preparation: What’s New in Online Classes for 2025
The Chartered Accountancy (CA) journey is one of the most rigorous professional courses, demanding dedication, strategic planning, and access to quality resources. In 2025, online classes are becoming even more transformative, leveraging advancements in technology to redefine how students prepare for the CA exams. From CA Foundation to CA inter classes, these innovations are streamlining the learning experience, making it more engaging, flexible, and result-oriented.
Here’s a look at what’s new in CA online classes and how they’re changing the way students approach CA preparation.
1. AI-Driven Personalized Learning
Artificial Intelligence (AI) is at the forefront of online education in 2025. Platforms offering CA coaching classes use AI to create personalized learning paths for students.
Customized Study Plans: AI identifies each student’s strengths and weaknesses, providing a tailored approach to mastering subjects in CA inter classes and beyond.
Real-Time Feedback: Instant evaluations help students correct mistakes immediately and progress effectively.
Adaptive Learning Modules: Courses adjust dynamically based on a student’s performance in mock tests and quizzes.
2. Immersive Virtual Classrooms
With advancements in virtual reality (VR) and augmented reality (AR), online classes now offer immersive environments that replicate traditional classrooms.
Real-Time Interactions: Students can virtually attend live sessions, interact with peers, and participate in group activities.
Practical Simulations: Subjects like Auditing and Taxation in CA inter online classes are taught using realistic scenarios, bridging the gap between theory and practice.
Gamified Learning: Engaging quizzes and challenges keep students motivated while reinforcing key concepts.
3. Modular Microlearning
The comprehensive CA syllabus can be overwhelming. Online platforms are breaking it into smaller, focused modules to improve understanding and retention.
Bite-Sized Lessons: Topics in CA Foundation and CA inter classes are divided into short, digestible lessons.
On-the-Go Access: Students can learn from anywhere, revisiting modules during breaks or commuting.
Progressive Learning: Sequential modules ensure concepts build upon each other, fostering a strong foundation.
4. Enhanced Resource Accessibility
Online platforms are now offering a wealth of resources to make CA preparation more manageable.
E-Libraries: Comprehensive digital libraries provide access to notes, e-books, and video lectures for all levels, from CA Foundation to advanced topics.
Cloud-Based Platforms: All materials are stored online, ensuring students can access them anytime without worrying about losing notes.
Multi-Device Support: Resources are accessible on laptops, tablets, and smartphones, ensuring seamless learning across devices.
5. Interactive Peer Learning
Collaboration is a key element of modern online education. CA inter online classes now include features that promote peer interaction.
Discussion Forums: Students can discuss concepts, share notes, and clarify doubts with peers.
Group Projects: Collaborative assignments mimic real-world scenarios, enhancing teamwork skills.
Networking Opportunities: Virtual meetups connect students with professionals and alumni for career guidance.
6. Practical Skill Development
In line with ICAI’s focus on practical training, online platforms emphasize skill-building alongside academic preparation.
Software Training: Students learn to use tools like Excel, Tally, and GST software in CA coaching classes, aligning with industry demands.
Case Studies and Projects: Real-life case studies teach students how to apply theoretical knowledge in professional settings.
Articleship Support: Platforms offer resources and advice to help students excel during their Articleship.
7. Advanced Assessment Techniques
Assessments are a critical part of CA preparation, and online classes are adopting innovative evaluation methods.
Customizable Tests: Students can create tests focusing on specific chapters or topics in CA inter classes.
Detailed Analytics: Post-test reports highlight performance trends and recommend areas for improvement.
Exam Simulations: Mock exams mimic the exact structure of ICAI exams, helping students build confidence.
8. Sustainability and Eco-Friendliness
The shift to online education is also contributing to a greener planet.
Paperless Learning: Digital notes and assignments reduce the need for printed materials.
Reduced Commute: Learning from home cuts down on travel-related emissions.
Sustainable Practices: Online platforms adopt eco-friendly practices, aligning with global sustainability goals.
Why Choose UltimateCA for Online Classes in 2025?
As a pioneer in CA coaching, UltimateCA integrates these cutting-edge trends to offer the best learning experience for students.
Expert Faculty: Learn from industry-leading educators with years of experience in CA coaching.
Holistic Approach: From conceptual clarity in CA Foundation to advanced topics in CA inter online classes, UltimateCA covers it all.
Interactive Features: Engage with live sessions, group discussions, and personalized feedback.
Flexible Learning: Access recorded lectures and study materials anytime, anywhere.
Conclusion
Online learning is not just a convenience; it’s a necessity for aspiring CAs in today’s digital age. The innovations in CA online classes are equipping students with the tools and skills they need to excel in their exams and professional careers.
By embracing these trends, platforms like UltimateCA ensure that students receive the best guidance and resources to achieve their goals. Whether you’re just beginning with CA Foundation or diving deeper into CA inter classes, the future of CA preparation is here—and it’s online.
#CAOnlineClasses#CAInterClasses#CAFoundationCourse#CAExamPreparation#CharteredAccountancy#VirtualLearning#UltimateCA#OnlineEducation#StudyTipsForCA#CACoachingClasses#CAStudentLife#DigitalEducation#FutureOfCA
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Top 10 Online MCA Colleges in India Offering Flexible Learning Options
Pursuing a Master of Computer Applications (MCA) has become a popular choice for students. However, attending a traditional college may not always be feasible due to time constraints, financial limitations, or geographic barriers. Online MCA programs offer a flexible and convenient alternative for students who want to pursue higher education while managing their personal and professional commitments.
1. Amity University Online Education
Amity University is one of the leading private universities in India, known for its innovative approach to online education. The online MCA program at Amity University is designed to provide students with in-depth knowledge of computer applications, software engineering, and IT management. The university’s online platform is user-friendly, offering interactive learning resources such as video lectures, live sessions, and assignments.
Amity University has a strong faculty of experienced professionals, and students can benefit from various career services, including placement assistance and internships. The program is flexible and affordable, making it one of the top online MCA colleges in India.
2. Manipal University Online Education
Manipal University Online Education offers an excellent online MCA course that is both comprehensive and flexible. The university is known for its academic excellence and cutting-edge teaching methods. The online MCA program at Manipal provides students with a blend of theory and practical knowledge, with a focus on programming languages, data structures, software engineering, and database management.
Students have access to an interactive learning platform with study materials, assessments, and discussions. The online MCA program at Manipal University is highly regarded for its well-structured curriculum and industry-aligned approach.
3. Jain University Online Education
Jain University is a recognized name in the field of higher education in India. The online MCA colleges in India offer students the opportunity to study a full-fledged MCA program while working or managing other responsibilities. The university’s online MCA program is designed to equip students with the technical and managerial skills required to excel in the IT industry.
With a focus on practical learning, Jain University offers hands-on projects, online tutorials, and virtual labs. The university also provides placement support to students, ensuring they are well-prepared for a successful career in the technology sector.
4. Lovely Professional University (LPU) Online
Lovely Professional University (LPU) offers an extensive online MCA program designed to meet the needs of modern students. The university’s online MCA courses cover key topics such as algorithms, data structures, networking, and software development. LPU’s online learning platform is robust, offering video lectures, study material, and regular assessments.
LPU’s online MCA colleges in India are designed for students who seek flexibility and a solid foundation in computer applications. The university also offers placement assistance, helping students transition into the workforce after graduation.
5. Sharda University Online Education
Sharda University’s online MCA program is designed to provide students with a strong foundation in computer science and programming. The curriculum is comprehensive, covering a wide range of subjects such as database management, network security, artificial intelligence, and software development.
Sharda University offers an interactive online learning platform, including video lectures, assignments, and online discussions. The university's top online MCA colleges in India ensure that students receive quality education while enjoying the flexibility of studying at their own pace.
If you're looking to find the perfect college for you, visit our website in Online University, We offer free consultations to answer any questions about admissions.
6. GLA University Online Education
GLA University offers a high-quality online MCA program aimed at developing students' skills in computer science and technology. The university’s online MCA course is designed to offer flexibility, making it suitable for working professionals as well as full-time students.
GLA University’s online MCA colleges in India are known for their rigorous curriculum, which includes hands-on learning experiences, project work, and exposure to the latest technological trends. The university also provides placement support to help students find suitable career opportunities after completing the program.
7. Uttaranchal University Online Education
Uttaranchal University offers a well-rounded online MCA program designed to equip students with advanced knowledge of computer applications, programming languages, and software engineering. The program is designed to prepare students for a wide range of careers in the IT sector, including roles in software development, system administration, and network security.
With a strong focus on practical learning and skill development, Uttaranchal University’s top online MCA colleges in India provide students with the opportunity to gain industry-relevant skills while enjoying the convenience of online education.
8. Shoolini University Online Education
Shoolini University offers an exceptional online MCA program that focuses on both theoretical and practical aspects of computer applications. The program is designed to help students build a solid foundation in software engineering, programming, and data management.
The online MCA colleges at Shoolini University provide a personalized learning experience with access to recorded lectures, online discussions, and assignments. The university also supports students with career guidance and placement assistance.
Check out this online education for the Top Reasons to Choose NMIMS University Online Education.
9. University of Petroleum and Energy Studies (UPES) Online Education
UPES is a premier university in India known for its focus on industry-specific education. The university’s online MCA program is designed to provide students with advanced skills in computer applications, particularly in sectors like energy, oil, and gas.
UPES’s top online MCA colleges in India offer a curriculum that blends computer science with specialized knowledge in energy and related industries. This unique approach makes it an ideal choice for students interested in pursuing careers in the energy sector, as well as traditional IT roles.
10. DPU University Online Education
Dr. D.Y. Patil University (DPU) offers an innovative online MCA program that focuses on building technical expertise in computer applications. The curriculum includes topics like web development, software engineering, data analytics, and database management.
DPU’s online MCA colleges in India offer flexibility in learning, allowing students to study at their own pace and access study material online. The university also provides placement assistance and career support, ensuring that graduates are well-prepared for the job market.
Conclusion
The demand for skilled IT professionals continues to grow, and an online MCA degree can open doors to various career opportunities. Choosing the right online MCA college is crucial to ensuring that you receive a quality education while enjoying the flexibility that online learning offers.
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BITS Online Courses | BITS Pilani Online Courses - Online Vidya
In today’s fast-evolving digital age, the demand for flexible and high-quality education has grown exponentially. Online Vidya makes it easier for you to access premier programs from institutions like BITS Pilani. Recognized globally for its academic excellence, BITS Pilani has embraced the online learning revolution by offering a range of online courses designed to cater to working professionals, students, and lifelong learners. If you’re looking for top-tier education from one of India’s most prestigious institutions, BITS Pilani Online Courses provide the perfect solution.
Why Choose BITS Online Courses?
BITS Pilani, a pioneer in science, engineering, and management education, has consistently ranked among the top institutions in India. Its online programs are crafted with the same rigor and quality as its on-campus offerings, ensuring learners receive a comprehensive and industry-relevant education.
Here are some key reasons to choose BITS Pilani Online Courses:
Flexible Learning: With the freedom to learn at your own pace, these courses are ideal for working professionals looking to upskill without compromising their jobs.
Industry-Relevant Curriculum: The programs are designed in collaboration with industry experts, ensuring the knowledge imparted is practical and applicable.
Experienced Faculty: Learn from world-class educators and industry practitioners who bring a wealth of knowledge and expertise.
Recognition and Credibility: A certification from BITS Pilani carries significant value and credibility in the job market, enhancing career opportunities.
Networking Opportunities: Join a vast network of alumni and peers, enabling collaboration and professional growth.
Popular Online Programs Offered by BITS Pilani
BITS Pilani’s online courses cater to a wide range of disciplines. Here are some of the most sought-after programs:
1. M.Tech. in Data Science and Engineering
Gain expertise in data analytics, machine learning, and big data technologies.
Designed for IT professionals aiming to advance in the data science field.
2. MBA in Business Analytics
Learn the nuances of business analytics, data-driven decision-making, and predictive modeling.
Ideal for managers and professionals looking to integrate analytics into their decision-making processes.
3. PG Diploma in Artificial Intelligence and Machine Learning
Dive into AI concepts, neural networks, and machine learning algorithms.
A perfect fit for tech enthusiasts eager to explore the world of AI.
4. Executive Programs
Tailored for senior professionals, these programs focus on leadership, strategic management, and emerging technologies.
5. Certificate Programs
Short-term courses in specialized fields like cybersecurity, blockchain, and digital marketing.
These programs provide targeted skills and knowledge.
Key Features of BITS Pilani’s Online Learning Platform
BITS Pilani’s online courses are hosted on a robust and user-friendly platform equipped with advanced features such as:
Interactive Learning Modules: Engaging video lectures, case studies, and quizzes.
Live Sessions: Regular interactions with faculty and peers to clarify doubts and discuss real-world applications.
Access to Resources: Comprehensive digital libraries, research papers, and study materials.
Assessment and Feedback: Continuous evaluations to track progress and provide constructive feedback.
Who Can Benefit from These Courses?
BITS Pilani’s online courses are tailored for:
Working Professionals: Those looking to upskill or pivot their careers.
Students: Fresh graduates eager to specialize in emerging fields.
Entrepreneurs: Business owners wanting to leverage technology and analytics.
Lifelong Learners: Anyone passionate about gaining knowledge and staying relevant in today’s competitive landscape.
Conclusion
BITS Pilani’s online courses, provide a perfect blend of flexibility, quality, and credibility. Whether you’re looking to advance in your current role, switch careers, or gain in-depth knowledge in a specific domain, these programs are an excellent investment in your future. With a transparent admission process and flexible fee options, BITS Online Courses are accessible to a wide range of learners.
#online learning#BITS Online Courses#BITS Pilani Online courses#Online Vidya#distance learning#education
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Revolutionizing Learning: The Transformative Impact of Technology on Modern Education
In recent years, technology has revolutionized nearly every aspect of our lives, and education is no exception. From primary classrooms to higher education institutions, technology has reshaped the way students learn and teachers teach, paving the way for a more dynamic and personalized learning experience.
Digital Tools Transforming Classrooms
One of the most significant changes in education is the integration of digital tools. Interactive whiteboards, tablets, and laptops have replaced traditional chalkboards and textbooks in many classrooms. These tools not only make learning more engaging but also help cater to various learning styles. Visual learners can benefit from videos and infographics, while auditory learners can access podcasts and recorded lectures.
The rise of online learning platforms, such as Coursera, Khan Academy, and edX, has further democratized education. Students from remote areas can access quality courses from top universities, bridging the gap between privileged and underprivileged learners.
Personalized Learning Through AI
Artificial Intelligence (AI) is another game-changer in education. AI-driven systems can analyze a student’s strengths and weaknesses, creating personalized learning plans that adapt as the student progresses. For example, platforms like Duolingo use AI to customize language lessons, ensuring that students receive the right level of challenge.
Moreover, AI-powered tools assist teachers by automating administrative tasks such as grading and attendance tracking. This allows educators to focus more on teaching and mentoring students.
Challenges of Technology in Education
While the benefits of technology in education are undeniable, there are challenges to address. Not all students have access to the necessary devices and internet connectivity, leading to a digital divide. Additionally, excessive screen time can affect students’ mental and physical health. It is crucial to strike a balance between digital and traditional learning methods to ensure holistic development.
Preparing for the Future
Technology is not just a tool for today but a gateway to the future. Skills like coding, data analysis, and digital literacy are becoming essential in the job market, and schools are beginning to adapt their curricula accordingly. Institutions, including the Best Boarding School In Prayagraj , are increasingly leveraging technology to provide students with a competitive edge in a rapidly evolving world.
Conclusion
The impact of technology on modern education is profound and transformative. By embracing these advancements while addressing their challenges, educators can create an environment that fosters innovation, inclusivity, and lifelong learning. As technology continues to evolve, so too will its role in shaping the future of education.
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Top Free Courses Offered by Jaro Education: Boost Your Career
When it’s about upskilling yourself, you shouldn’t think twice. The world is changing constantly and the ones who change and upgrade with time, are the ones who can do something big. Be it a student, or working professionals, we should have a knack for learning something new every day. For this purpose, Jaro Education presents the top 3 free online courses that you should pursue.
Do you know what’s the best part? These are the best free online courses with certifications! Just one weekend is enough to get enrolled, acquire new skills, and put them on a practical test. Without further ado, let’s explore the 3 best free online courses with certifications!
1. Marketing in the New Age Digital World
The world is not only moving digital. The world is living digital! In today’s ever-evolving digital landscape, mastering the art of digital marketing is a must to win over your customers. This is one of the best free online courses if you want to kickstart your career as a seasoned digital marketer. In this course, you will delve into the diverse facets of digital marketing - from basic introduction to cutting-edge strategies. Be it moment marketing, SEO, digital strategy, or content marketing, you will get the ins and outs of how to do marketing in a digital landscape.
Here’s another reason why the Marketing in New Age Digital World course is one of the best online courses in marketing in the new age digital world. Here’s what you will learn during the 11-13 hour session -
Fundamental of digital marketing.
Principles and applications of moment marketing.
Effective SEO strategies to enhance online visibility.
How to develop and implement a comprehensive digital strategy.
Techniques for successful content marketing.
Utilization of Google products and meta-marketing tools.
Strategies for eCommerce marketing.
Best practices for influencer marketing.
Role of generative AI in modern marketing.
2. eCommerce Marketing
eCommerce in India is massive. With marketplaces like Amazon and Flipkart, a lot of Indian eCommerce brands gained momentum and won the hearts of millions of Indians. For this reason, eCommerce marketing has become a crucial skill set apart from just listing products online and waiting for customers to discover the product by themselves. If you want to learn the magic of eCommerce Marketing then this is one of the best free online courses with certifications. If you have 2-3 hours of spare time during weekends, then this is what you can learn -
Core principles of eCommerce marketing.
How to create and optimize sponsored product ads.
Effective tactics for sponsored brand ads.
Strategies for product display ads.
How to develop and execute comprehensive ad campaigns.
Advanced optimization techniques to boost ad performance.
Quick commerce strategies to stay ahead in the market.
3. Gen AI Tools & Applications
Be it a big organization or a start-up, everyone wants to integrate gen AI tools and applications to reduce human workload. For this reason, Gen AI Tools and Applications is one of the best free online courses that teaches you the ins and outs of how to leverage AI tools and applications and create magic. This is one of the best free online courses with certifications where you will dive into the world of AI tools and applications and get your hands-on experience with text-to-speech, text-to-text, text-to-image, and text-to-video conversions.
As organizations embrace the AI revolution, it’s those who grasp its intricacies that will lead the charge, guiding their companies toward innovation and success. This is one of the best free online courses where you can immerse yourself in this transformative journey with Jaro Education. Within 2-3 hours of the lecture, you will learn the following things -
Fundamental of artificial intelligence.
Various types and applications of AI, including text-to-speech, text-to-text, text-to-image, and text-to-video conversions.
Advanced techniques in generative AI tailored for diverse applications.
Practical application of AI tools like ChatGPT, Natural Reader, Clipchamp, and others.
Strategies for maximizing the potential of AI tools in driving innovation and problem-solving.
Dive Into The World of Free Online Courses with Jaro Education
Jaro Education provides a once-in-a-lifetime opportunity if you are willing to acquire new skill sets in your free time. With these best free online courses with certifications, get a deep insight into what’s trending in the industry and whether a particular field is of something of interest.
Consider these free online courses as different cuisines. Grab all the cuisines when you’re free to know what can be your favorite cuisine for the rest of your life. Here’s why Jaro’s free online courses are better than most paid courses available on the internet -
You can pursue these best free online courses with certifications that carry a good weightage in the corporate world.
You benefit from insights shared by industry experts during the lecture.
Stay updated on the latest trends, strategies, and insights.
You get a chance to delve into basic to advanced topics for diverse scenarios.
You can connect and collaborate with like-minded professionals in your respective field.
Jaro Education believes in upskilling students and professionals like no one else does. Now, the choice is yours - hang around with friends, binge-watch your favorite series over the weekends, or get access to these best free online courses with certifications that have the power to build a solid career.
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With technical skills How AI is Changing Education And Making It Fun!
Education used to be all about carrying heavy books and struggling to keep up with boring lessons. But thanks to artificial intelligence and education, learning is now smarter, faster, and even a little fun. With technical skill AI is transforming classrooms, helping students like you learn better and stay ahead, especially if you’re pursuing an undergraduate commerce course such as a Bachelor of Commerce, BBI, BBA etc.
How AI Makes Learning Easier
Imagine having a tutor who’s available 24/7, never gets tired, and doesn’t scold you for asking the same question twice. That’s what AI does. It acts like your personal study buddy, helping you with everything from tricky maths problems to understanding balance sheets in your finance courses like, Bachelor of Commerce.
AI doesn’t just answer your questions; it also gives you practice tests, explains concepts, and helps you improve step by step. No more frustration, no more boring lectures—just smart learning, anytime you need it. For this you should have Technical skills to use ai effectively
But what if you don’t have one ?
The Magic of Technical Skills
In today’s world, having good technical skills is like having a superpower. Whether you’re learning accounting or digital marketing for your commerce degree, AI helps you build these skills. It finds the best courses, shows you practical examples, and even tests your knowledge so you’re ready for the real world.
And the best part? AI makes learning technical skills easy and enjoyable. Need help with Excel formulas or understanding market trends? AI has tools and tutorials to guide you every step of the way.AI will also guide you to learn new Technical skills each every time when you use it
How AI Helps Commerce Students
Studying for a Bachelor of Commerce or other commerce field can be tough—there’s a lot to learn, from finance to taxation. But with artificial intelligence and education working together, even the toughest subjects become simpler.
AI creates customised learning plans just for you for different topics as if you want to learn new Technical skills or find different answers . Struggling with economics? AI explains it in easy words. Confused about cost accounting? AI gives you practical examples to understand it better.
You know ? Why are artificial intelligence and education such good friends? Because education teaches, and AI makes sure no one sleeps in class! HAHA !
Jocks apart but AI doesn’t just help you study; it prepares you for real-life situations, like making business decisions or analysing financial data.
Want to Learn AI? You Can!
AI isn’t just a tool for studying—it’s also something you can learn. If you’re curious about artificial intelligence and how to learn, there are lots of platforms that publish AI related blogs & news read them, lot of platform teach how to use AI and machine learning in simple ways you can check out on google , or just go to chat GPT AI & type your query and AI will solve it. So, while you’re working on your commerce degree, you can also explore AI and boost your skills even further.
Making Learning Fun
AI doesn’t want you to just study—it wants you to enjoy it. artificial intelligence and education ,With tools like virtual reality, gamified lessons, and personalised quizzes, even boring subjects become interesting. Imagine learning economics through a game or practising accounting with a fun simulation. AI makes this possible!
And when it comes to technical skills, AI keeps it exciting with interactive videos and hands-on projects. Learning feels less like work and more like an adventure.
Will AI Replace Teachers?
Don’t worry—teachers aren’t going anywhere. AI is here to help them, not replace them. It takes care of repetitive tasks like grading so teachers can focus on teaching and helping you understand things better. Think of AI as a teacher’s helpful assistant.
The Future of Education
With AI, education is no longer stressful or boring. It’s about learning artificial intelligence and education smarter, improving your technical skills, and getting the most out of your graduation degree such as bachelor of banking & finance , bachelor of business administration & Bachelor of Commerce.
So, why not embrace artificial intelligence ? Whether it’s helping you understand tricky topics or teaching you something new, so make artificial intelligence and education exciting and effective , learn new Technical skills about AI. Who knew studying could be this cool?
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What is Udemy and Its Features?
Udemy is one of the most prominent online learning platforms in the world, providing individuals with access to a vast array of courses across numerous disciplines. Launched in 2010, Udemy has transformed the way people learn by offering flexible, affordable, and comprehensive educational opportunities to millions globally. Whether you are a professional looking to upskill, a student aiming to enhance your knowledge, or a hobbyist pursuing a new interest, Udemy offers a unique and personalized learning experience.
What is Udemy?
Udemy is an online marketplace for learning and teaching. It allows instructors to create and publish courses in their areas of expertise and enables learners to access these courses on-demand. The platform spans over 250,000 courses across a wide range of topics, including technology, business, arts, health, and personal development. With over 73 million learners, 64,000 instructors, and availability in more than 75 languages, Udemy is truly a global learning hub.
The courses on Udemy are user-generated, which means anyone with expertise in a subject can create and sell courses. This democratization of education enables instructors to monetize their skills while providing students with diverse learning options. From coding and graphic design to yoga and cooking, Udemy caters to a wide variety of interests and professional needs.
Features of Udemy
Udemy’s success lies in its robust set of features that make learning and teaching both accessible and effective. Below, we discuss some of its most notable features:
1. Vast Course Library
Udemy boasts one of the largest collections of online courses available. With over 250,000 courses spanning categories such as business, technology, personal development, and lifestyle, there’s something for everyone. Whether you’re a beginner or an advanced learner, Udemy offers courses tailored to various skill levels.
The platform also stays updated with emerging trends, ensuring learners have access to courses in fields like artificial intelligence, blockchain, and digital marketing.
2. Affordable Pricing
One of Udemy’s standout features is its affordability. Unlike traditional education platforms that charge high fees, Udemy courses are often priced between $10 and $100, with frequent discounts and promotions bringing the cost down further. This affordability democratizes learning, making high-quality education accessible to a global audience.
3. Lifetime Access
A unique feature of Udemy is that learners receive lifetime access to the courses they purchase. This means you can revisit the material as often as needed, even after completing the course. This feature is particularly beneficial for complex subjects, where learners may need to review concepts multiple times.
4. Self-Paced Learning
Udemy allows learners to progress at their own pace. There are no strict deadlines or schedules, making it ideal for busy professionals or students who need flexibility. Whether you have a few hours a day or just 20 minutes during lunch breaks, you can tailor your learning schedule to suit your availability.
5. Wide Range of Formats
Courses on Udemy include a mix of video lectures, quizzes, assignments, and supplemental resources such as downloadable PDFs or slides. This variety of formats caters to different learning styles, ensuring that visual, auditory, and kinesthetic learners can benefit from the platform.
6. Mobile-Friendly Platform
Udemy’s mobile app enhances accessibility by allowing learners to study on the go. Available on iOS and Android devices, the app enables offline downloads, making it easy to learn even without an internet connection. This feature is particularly useful for commuters or those in regions with limited internet access.
7. Certificates of Completion
Upon completing a course, Udemy provides a certificate of completion. While these certificates are not accredited, they can still serve as proof of learning for personal or professional purposes. For example, including a Udemy certificate on your resume or LinkedIn profile can demonstrate initiative and self-driven learning.
8. Instructor Opportunities
Udemy empowers experts by allowing them to create and sell courses. The platform provides tools for video creation, course design, and analytics to help instructors deliver high-quality content. Additionally, Udemy’s revenue-sharing model offers a lucrative opportunity for educators and professionals to monetize their skills.
9. Diverse Language Options
With courses available in over 75 languages, Udemy caters to a global audience. This multilingual support ensures that learners from different regions and linguistic backgrounds can access quality education without language barriers.
10. Udemy for Business
Udemy offers a corporate learning solution called Udemy for Business, which provides organizations with a curated selection of courses to train employees. This feature allows companies to upskill their teams, foster professional development, and address skill gaps efficiently. Businesses can track employee progress and identify areas for improvement using Udemy’s analytics.
Advantages of Udemy
Udemy’s features offer several advantages for both learners and instructors:
Flexibility: Learn anytime, anywhere, and at your own pace.
Affordability: Access quality education without breaking the bank.
Diverse Options: Explore a vast array of subjects and skill levels.
Global Reach: Courses are available worldwide in multiple languages.
Community Support: Learners can interact with instructors and fellow students through Q&A sections and forums.
How to Get the Most Out of Udemy
To maximize your learning experience on Udemy, follow these tips:
Read Reviews: Check course ratings, reviews, and instructor credentials before enrolling.
Take Advantage of Discounts: Wait for sales or promotions to purchase courses at discounted prices.
Engage Actively: Participate in quizzes, assignments, and Q&A sections to deepen your understanding.
Leverage Supplemental Resources: Download additional materials provided by instructors to enhance your learning.
Set Clear Goals: Define what you want to achieve before starting a course to stay focused and motivated.
Conclusion
Udemy has revolutionized online education by making learning accessible, flexible, and affordable for millions worldwide. Its extensive course library, user-friendly features, and inclusive approach to teaching and learning make it a standout platform for personal and professional development. Whether you’re acquiring new skills, exploring a hobby, or training your team, Udemy provides the tools and resources to help you succeed.
While it has some limitations, such as variable course quality and non-accredited certificates, the platform’s benefits far outweigh its drawbacks. By choosing the right courses and actively engaging with the material, learners can unlock immense value from Udemy and achieve their educational and career goals.
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Top Platforms to Learn Coding Online
In today’s rapidly evolving tech landscape, the demand for coding skills is at an all-time high. Whether you're a complete beginner, a career changer, or a seasoned professional looking to upskill, learning to code can open doors to countless opportunities. Fortunately, there are numerous online platforms that make learning to code accessible, flexible, and affordable. Here’s a look at the top platforms to learn coding online in 2024, along with their unique offerings to help you decide which one suits your needs.
1. CodeWithTLS
If you're looking for a comprehensive platform that focuses on practical, job-ready skills, CodeWithTLS is an excellent choice. Known for its affordable and high-quality courses, CodeWithTLS offers a wide range of coding programs covering data science, machine learning, mobile app development, and programming languages like Java, Python, and the MERN stack. Their courses are designed with hands-on projects and real-world scenarios, making it ideal for those aiming to land jobs in tech. In addition, their Japanese language courses for tech professionals make them stand out as a versatile learning hub.
2. Coursera
Coursera partners with top universities and tech companies to offer a vast range of courses in programming and computer science. Whether you’re interested in learning Python, Java, or specialized fields like machine learning, Coursera provides flexible learning paths, including certifications and degree programs. Coursera’s interactive learning model, with quizzes, peer-reviewed assignments, and video lectures, is perfect for both beginners and advanced learners. Many courses offer free auditing, making it an accessible option for budget-conscious learners.
3. edX
Like Coursera, edX collaborates with prestigious institutions to provide university-level coding courses online. You can learn coding online from top universities like Harvard, MIT, and UC Berkeley. edX offers both free courses and paid professional certificates, as well as full degree programs. With courses covering everything from web development and mobile app design to artificial intelligence and cybersecurity, edX provides a solid foundation for anyone wanting to develop deep technical expertise.
4. Udemy
Udemy is one of the most popular platforms for online learning, offering thousands of courses on various programming languages and technologies. What sets Udemy apart is its wide range of instructors and price points. You can find courses on Python, JavaScript, C++, and even niche technologies like blockchain and game development. The self-paced learning model allows learners to progress at their own speed. Regular discounts and sales make Udemy one of the most cost-effective ways to learn coding online.
5. freeCodeCamp
For those looking to learn coding online for free, freeCodeCamp is a fantastic option. This nonprofit organization offers a well-structured curriculum that includes interactive coding lessons, projects, and certifications. You can learn web development, data visualization, APIs, and more. FreeCodeCamp’s community-driven approach, with forums and mentorship, makes it an excellent choice for beginners who need support as they start their coding journey.
6. Codecademy
Codecademy is an interactive platform that focuses on hands-on coding experience. Instead of relying on video lectures, Codecademy uses an in-browser coding environment where learners can practice in real time. Their courses cover a wide range of topics, including web development, data science, and computer science fundamentals. With a structured curriculum and a premium option for career paths, Codecademy is perfect for those who prefer a more practical approach to learning.
7. Pluralsight
Pluralsight is a great platform for both beginners and professionals who want to learn coding online and upskill in emerging technologies. With courses on cloud computing, cybersecurity, software development, and IT operations, Pluralsight is widely used by businesses and tech professionals. Their Skill IQ and Role IQ assessments help learners identify their skill level and track progress. Although Pluralsight is a paid service, it offers a free trial period and is often included in corporate learning packages.
8. LinkedIn Learning
Formerly known as Lynda.com, LinkedIn Learning offers a vast library of coding courses taught by industry experts. Topics range from foundational programming languages like Python and JavaScript to advanced concepts in machine learning and cloud computing. As part of LinkedIn, this platform provides the added advantage of showcasing your completed courses directly on your LinkedIn profile, helping you stand out to potential employers.
9. Khan Academy
Khan Academy offers a beginner-friendly environment to learn coding online, focusing primarily on foundational programming concepts. Their computer science curriculum covers JavaScript, HTML/CSS, SQL, and more. Khan Academy’s interactive lessons are suitable for younger audiences or those who prefer a more casual, game-like learning experience. The platform is entirely free, making it a great entry point for anyone curious about coding.
10. The Odin Project
The Odin Project offers a free, full-stack curriculum designed to take learners from zero experience to job-ready web developers. The platform emphasizes hands-on learning with real-world projects and collaborative coding. With its strong focus on open-source learning and community support, The Odin Project is a fantastic resource for anyone looking to learn coding online in a structured yet flexible manner.
Conclusion
The availability of online coding platforms has democratized education, allowing anyone with an internet connection to gain valuable programming skills. Whether you prefer self-paced learning, instructor-led courses, or community-driven platforms, there’s an option to suit your needs. By choosing one of these top platforms to learn coding online, you’ll be well on your way to mastering the skills needed for a successful career in tech.
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Why Mobile Learning Apps Are Revolutionizing Education?
Mobile learning apps have become a game-changer in the education sector, transforming how students engage with learning materials, interact with teachers, and track their progress. With the proliferation of smartphones and tablets, these apps have made learning more accessible, flexible, and personalized, significantly impacting both traditional and remote education systems. Below are the key reasons why mobile learning apps are revolutionizing education.
1. Accessibility and Flexibility
Mobile learning apps provide students with the flexibility to learn anytime and anywhere. Whether commuting, waiting in line, or at home, students can access course materials, watch lectures, complete assignments, and engage in discussions on their mobile devices. This increased accessibility removes geographical and time barriers that were once limiting factors in education, enabling students to take control of their own learning schedule.
For example, students in remote or underserved areas can now access high-quality educational content that was previously unavailable to them. This levels the playing field, providing equal opportunities for students regardless of location.
2. Engagement and Interactivity
Mobile apps incorporate features like gamification, quizzes, interactive videos, and real-time feedback that enhance student engagement. Gamification elements such as leaderboards, badges, and challenges motivate students to keep progressing, making learning more enjoyable and competitive. Interactive tools like simulations and augmented reality (AR) allow students to immerse themselves in complex topics, making abstract concepts easier to understand and retain.
For instance, in subjects like science or history, students can explore virtual labs or historical simulations, gaining hands-on experience in a way that traditional textbooks cannot offer. These interactive elements increase student participation and improve retention rates.
3. Personalized Learning Experiences
One of the most significant advantages of mobile learning apps is their ability to provide personalized learning experiences. Many apps use artificial intelligence (AI) to track students' progress and adapt content to their individual needs. Based on performance data, the app can recommend lessons, quizzes, and learning paths that help students improve in areas where they may be struggling.
This personalized approach not only enhances learning outcomes but also empowers students to learn at their own pace, reducing the pressure of keeping up with a class.
4. Instant Access to Resources and Collaboration
Mobile learning apps enable students to access a wealth of resources, including eBooks, articles, videos, and research papers, at the touch of a button. This instant access encourages independent learning and supports students in deepening their understanding of subjects. Moreover, features like messaging, discussion boards, and video conferencing allow students to collaborate with peers and teachers, fostering a sense of community and facilitating interactive learning.
5. Cost-Effective and Sustainable
Mobile learning apps are often more affordable than traditional educational tools like printed textbooks or classroom-based courses. With custom edtech apps, schools and universities can save on the costs of paper materials, and students can download content and access it without needing expensive equipment.
Conclusion
Mobile learning apps are transforming the educational landscape by making learning more accessible, engaging, personalized, and collaborative. As technology continues to evolve, the potential for mobile learning to enhance educational outcomes will only grow, making it a vital tool for students and educators worldwide.
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