#ai development course

[101blockchainss]

Improve your AI skills with the 101 Blockchains AI Development Course. Our experts will develop all the required skills and show you how to implement AI solutions in real-world case studies. This course provides you with practical knowledge so you can learn things fast.

[werewolf-transgenderism]

man someone in the notes of that AI post left a several paragraph long response like “but what if students don’t know how to write well? what if they’re socioeconomically disadvantaged and never got good writing instruction? they should be allowed to use AI” no they fucking should not because that is not going to help them develop their writing or benefit from writing instruction if they’re not fucking doing any writing themselves! a student who does their own work and gets a low grade but still actually practices writing is learning at least ten times more than a student who just plugs the prompt into chatgpt and doesn’t write at all

[seraheart]

I kinda wish that the DetCo canon would do more with the fact that the relationship (I don't mean this in the shipping sense) between Conan and Haibara has been, or at least logically should have been, really strained for a long time.

Originally, they had this development where Haibara was really messed up, overly cautious and trying to force her maladaptive survival psychological issues onto other people, and generally not good at positive interactions. Then, slowly, Conan and the others started gaining her trust (not entirely though), and also her general mental health improved (never completely though).

But then it turned around, and started getting significantly worse. Haibara isn't really in a healing arc anymore. If Aoyama still took her seriously as a character (which, to be fair, I don't think is the case), she would be in a retraumatization arc. Conan and his allies are limiting Haibara's agency, invading her privacy, dismissing her concerns about all this, and pretending that this isn't happening while she can obviously tell that it is happening.

I think the really obvious turning point was the Mystery Train arc. Haibara even called Conan and Agasa out on it and stated that she wouldn't forgive if she were to be treated like that again. Instead of taking her hurt seriously, they just told her she should "be thankful", and dismissed her hurt as "tsundere", refusing to take her trauma seriously after using it and using her as a mere chess piece in their plans (and Akai even triggering her more by gloating about it).

Since then, Haibara has been trapped under the constant, violating supervision of these people who have demonstrated that they don't respect her, and also refuse to acknowledge that the problem even exists. It's not a situation where her recover arc could realistically continue. By all logic, she should be spiraling, getting worse again.

And maybe this is on purpose; Aoyama definitely didn't plan the manga to get this long when he introduced Haibara, and originally the slow-burn of her recovery was a good way to postpone a scenario where Haibara could actually trust Conan enough to give him the kind of information that would lead to the finale arc. But... eventually, even with the extreme slow burn of DetCo, Haibara's recovery arc and relationship development with Conan would have gotten to the point where her continued withholding of crucial information would no longer make sense... and, I guess, rather than start concluding the story at a humanly reasonable rate, Aoyama just opted to nuke Haibara's whole recovery arc and character and relationship development (not only with Conan but also Agasa).

Which could have been tragic but realistic (albeit kind of a major downer out of tune with the manga's usual tone, and upsetting to anyone who had been invested in the slow-burn mental health improvement arc), but then Aoyama can't even be arsed to take it seriously, and is now just pretending that the situation with Haibara and her relationships with Conan and Agasa are still "normal" instead of FUBAR.

It's regrettable and really shows how much everyone dragging out this franchise to milk it for more money just... doesn't actually care about the story anymore, hasn't in a long time. They'll eventually just kill central, fan-favorite, long-running story arcs rather than actually letting them conclude or evolve in a satisfying manner if that would mean risking their precious status quo (which has warped beyond all recognition anyway, so I'm not sure why they bother).

[elfroot-and-laurels]

low key i do wanna try to do OC-tober this year maybe with my dragon age OCs.......

[jcmarchi]

Starting reading the AI Snake Oil book online today

New Post has been published on https://thedigitalinsider.com/starting-reading-the-ai-snake-oil-book-online-today/

Starting reading the AI Snake Oil book online today

The first chapter of the AI snake oil book is now available online. It is 30 pages long and summarizes the book’s main arguments. If you start reading now, you won’t have to wait long for the rest of the book — it will be published on the 24th of September. If you haven’t pre-ordered it yet, we hope that reading the introductory chapter will convince you to get yourself a copy.

We were fortunate to receive positive early reviews by The New Yorker, Publishers’ Weekly (featured in the Top 10 science books for Fall 2024), and many other outlets. We’re hosting virtual book events (City Lights, Princeton Public Library, Princeton alumni events), and have appeared on many podcasts to talk about the book (including Machine Learning Street Talk, 20VC, Scaling Theory).

Our book is about demystifying AI, so right out of the gate we address what we think is the single most confusing thing about it: 

AI is an umbrella term for a set of loosely related technologies

Because AI is an umbrella term, we treat each type of AI differently. We have chapters on predictive AI, generative AI, as well as AI used for social media content moderation. We also have a chapter on whether AI is an existential risk. We conclude with a discussion of why AI snake oil persists and what the future might hold. By AI snake oil we mean AI applications that do not (and perhaps cannot) work. Our book is a guide to identifying AI snake oil and AI hype. We also look at AI that is harmful even if it works well — such as face recognition used for mass surveillance. 

While the book is meant for a broad audience, it does not simply rehash the arguments we have made in our papers or on this newsletter. We make scholarly contributions and we wrote the book to be suitable for adoption in courses. We will soon release exercises and class discussion questions to accompany the book.

Chapter 1: Introduction. We begin with a summary of our main arguments in the book. We discuss the definition of AI (and more importantly, why it is hard to come up with one), how AI is an umbrella term, what we mean by AI Snake Oil, and who the book is for. 

Generative AI has made huge strides in the last decade. On the other hand, predictive AI is used for predicting outcomes to make consequential decisions in hiring, banking, insurance, education, and more. While predictive AI can find broad statistical patterns in data, it is marketed as far more than that, leading to major real-world misfires. Finally, we discuss the benefits and limitations of AI for content moderation on social media.

We also tell the story of what led the two of us to write the book. The entire first chapter is now available online.

Chapter 2: How predictive AI goes wrong. Predictive AI is used to make predictions about people—will a defendant fail to show up for trial? Is a patient at high risk of negative health outcomes? Will a student drop out of college? These predictions are then used to make consequential decisions. Developers claim predictive AI is groundbreaking, but in reality it suffers from a number of shortcomings that are hard to fix. 

We have discussed the failures of predictive AI in this blog. But in the book, we go much deeper through case studies to show how predictive AI fails to live up to the promises made by its developers.

Chapter 3: Can AI predict the future? Are the shortcomings of predictive AI inherent, or can they be resolved? In this chapter, we look at why predicting the future is hard — with or without AI. While we have made consistent progress in some domains such as weather prediction, we argue that this progress cannot translate to other settings, such as individuals’ life outcomes, the success of cultural products like books and movies, or pandemics. 

Since much of our newsletter is focused on topics of current interest, this is a topic that we have never written about here. Yet, it is foundational knowledge that can help you build intuition around when we should expect predictions to be accurate.

Chapter 4: The long road to generative AI. Recent advances in generative AI can seem sudden, but they build on a series of improvements over seven decades. In this chapter, we retrace the history of computing advances that led to generative AI. While we have written a lot about current trends in generative AI, in the book, we look at its past. This is crucial for understanding what to expect in the future. 

Chapter 5: Is advanced AI an existential threat? Claims about AI wiping out humanity are common. Here, we critically evaluate claims about AI’s existential risk and find several shortcomings and fallacies in popular discussion of x-risk. We discuss approaches to defending against AI risks that improve societal resilience regardless of the threat of advanced AI.

Chapter 6: Why can’t AI fix social media? One area where AI is heavily used is content moderation on social media platforms. We discuss the current state of AI use on social media, and highlight seven reasons why improvements in AI alone are unlikely to solve platforms’ content moderation woes. We haven’t written about content moderation in this newsletter.

Chapter 7: Why do myths about AI persist? Companies, researchers, and journalists all contribute to AI hype. We discuss how myths about AI are created and how they persist. In the process, we hope to give you the tools to read AI news with the appropriate skepticism and identify attempts to sell you snake oil.

Chapter 8: Where do we go from here? While the previous chapter focuses on the supply of snake oil, in the last chapter, we look at where the demand for AI snake oil comes from. We also look at the impact of AI on the future of work, the role and limitations of regulation, and conclude with vignettes of the many possible futures ahead of us. We have the agency to determine which path we end up on, and each of us can play a role.

We hope you will find the book useful and look forward to hearing what you think. 

The New Yorker: “In AI Snake Oil, Arvind Narayanan and Sayash Kapoor urge skepticism and argue that the blanket term AI can serve as a smokescreen for underperforming technologies.”

Kirkus: “Highly useful advice for those who work with or are affected by AI—i.e., nearly everyone.”

Publishers’ Weekly: Featured in the Fall 2024 list of top science books.

Jean Gazis: “The authors admirably differentiate fact from opinion, draw from personal experience, give sensible reasons for their views (including copious references), and don’t hesitate to call for action. . . . If you’re curious about AI or deciding how to implement it, AI Snake Oil offers clear writing and level-headed thinking.”

Elizabeth Quill: “A worthwhile read whether you make policy decisions, use AI in the workplace or just spend time searching online. It’s a powerful reminder of how AI has already infiltrated our lives — and a convincing plea to take care in how we interact with it.”

We’ve been on many other podcasts that will air around the time of the book’s release, and we will keep this list updated.

The book is available to preorder internationally on Amazon.

[bigtiddygandalf]

i just had to take this ai personality test to submit a job application (to be a bartender).

[demonstars]

he’s on the right path for the wrong reason?

more like the wrong path for the right logic

[teabutmakeitazure]

did you private your ao3?i wanted to read your fic but i couldnt find anything when i searched

I changed the settings so now all my fics are only available to registered users. I'm sorry but you'll have to make an account if you want to read it ;-;

I primarily did that because of the entire feeding fanfiction to AI stuff because I spent a lot of time and effort writing that so knowing that some musty, smelly techbros might be out there sweeping all that up without anyone's consent is just plain rude

Btw let me know if you need an invitation to join ao3 as a user. I've never done that before but I'm willing to help :D

[bcneheaded]

Yall I've had this idea in my head for an AI entity character thing since forever and?? It's driving me absolutely bonkers, this consciousness wants OUT but I have no idea how to write it, it is simply too intricate and confusing

[softwaredevelopmentindia-one]

India is a hub for technology and innovation and the field of machine learning Solution Development in India — Microlent Systems

India is a hub for technology and innovation, and the field of machine learning is no exception. With a growing number of companies specializing in this field, it can be challenging to know which one to choose. In this article, we will discuss the best machine learning companies in India, with a special focus on Microlent Systems.

Microlent Systems: Microlent Systems is a software development company located in Jodhpur, Rajasthan, that specializes in machine learning. They offer a range of services, including data analysis, predictive modeling, and natural language processing. They have worked with clients across various industries, from healthcare to finance.

Fractal Analytics: Fractal Analytics is a data analytics company that specializes in machine learning. They offer a range of services, including data engineering, data visualization, and artificial intelligence. They have worked with clients such as Microsoft, Coca-Cola, and PepsiCo.

Wipro: Wipro is a global technology company that offers machine learning solutions, including predictive maintenance, fraud detection, and chatbot development. They have worked with clients across various industries, including banking, healthcare, and retail.

Analytics India Magazine: Analytics India Magazine is a media company that covers the latest trends and developments in the field of machine learning. They offer training programs, research reports, and industry events to help businesses stay up-to-date with the latest developments in machine learning.

Tiger Analytics: Tiger Analytics is a consulting firm that offers machine learning solutions, including predictive modeling, optimization, and data visualization. They have worked with clients such as Adidas, Samsung, and Amazon.

LatentView Analytics: LatentView Analytics is a data analytics company that offers machine learning solutions, including customer segmentation, price optimization, and demand forecasting. They have worked with clients such as Microsoft, Coca-Cola, and Johnson & Johnson.

BRIDGEi2i: BRIDGEi2i is a consulting firm that offers machine learning solutions, including sales forecasting, customer segmentation, and supply chain optimization. They have worked with clients across various industries, including banking, retail, and healthcare.

Amazon Web Services: Amazon Web Services (AWS) offers a range of machine learning solutions, including image and speech recognition, chatbot development, and predictive analytics. They have worked with clients such as Netflix, Airbnb, and Samsung.

In conclusion, there are several excellent machine learning companies in India, each offering unique solutions and services. Microlent Systems stands out among them, with its expertise in data analysis, predictive modeling, and natural language processing. Located in Jodhpur, Rajasthan, they are well-positioned to provide high-quality machine learning solutions to clients across various industries.

Read More :

https://microlent.com/blog/why-you-should-focus-on-improving-best-machine-learning-companies-in-india.html

[beesmygod]

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads

[101blockchainss]

Get enrolled in 101 Blockchain's latest Generative AI Course. Learn the principles of how genealogical AI works and how to use it in real-world applications. This course will cover all basic to advanced concepts.

[instahealth]

the best AI learning platform ever _ all-in-one

get your discounts from here

grab it now

[brainynbright]

Artificial Intelligence Course in UAE: Empowering Future Innovators - Brainy n Bright

Introduction:

In a rapidly evolving digital landscape, artificial intelligence (AI) is at the forefront of technological advancement. AI has become the driving force behind innovations in various industries, from healthcare to finance, and is shaping the future of how we live and work. Understanding the profound impact of AI, Brainy n Bright, a leading educational institute in the UAE, has launched its Artificial Intelligence Course to equip students with the necessary skills and knowledge to navigate this cutting-edge field.

This blog explores how Brainy n Bright’s AI course prepares students for the future by providing them with the tools to not only understand AI but also to become innovators and leaders in the field. By offering a comprehensive curriculum, practical experience, and personalized learning, Brainy n Bright is setting a new standard for AI education in the UAE.

Why Artificial Intelligence Education is Essential Today:

Artificial intelligence is no longer a futuristic concept; it’s already embedded in our everyday lives. From virtual assistants like Siri and Alexa to recommendation algorithms on Netflix and Amazon, AI is making decisions that affect us daily. In the UAE, AI is also playing a key role in smart city initiatives, automated transportation, and even national security efforts.

For students, learning AI is more than just acquiring technical skills—it’s about understanding how these systems work and how they can be applied creatively to solve real-world problems. AI education fosters critical thinking, problem-solving, and innovation, skills that are crucial for the jobs of tomorrow.

Brainy n Bright’s Approach to AI Education:

At Brainy n Bright, the approach to AI education is both forward-thinking and student-centered. The AI course is designed to cater to different age groups, starting as early as grade school, ensuring that even young minds are introduced to the basic concepts of AI in an engaging and accessible manner.

The course covers:

Introduction to AI Concepts: Students will explore what artificial intelligence is, its history, and its impact on various industries.

Machine Learning: A deep dive into how machines learn and make decisions based on data, using algorithms and statistical models.

Robotics Integration: Understanding how AI integrates with robotics to create intelligent systems that can sense, act, and adapt.

AI in Everyday Applications: From healthcare and education to entertainment and business, students will explore the diverse applications of AI.

Ethical Considerations: As AI becomes more prevalent, ethical considerations such as privacy, security, and bias in algorithms are crucial. Brainy n Bright ensures that students are not just technologically proficient but also ethically aware.

A Curriculum Designed for the Future:

The curriculum at Brainy n Bright is structured to move students from foundational concepts to advanced applications. Students begin with a solid understanding of how AI works, learning about key topics such as data science, neural networks, and natural language processing (NLP).

As students progress, they engage in hands-on projects that allow them to apply their knowledge in real-world scenarios. This project-based approach ensures that students don't just learn the theory but also understand how to implement AI solutions in practical settings. Whether it’s creating an AI-driven chatbot, working on self-driving car algorithms, or developing predictive models, Brainy n Bright provides a robust platform for experimentation and innovation.

Personalized Learning Experience:

Every student learns at their own pace, and Brainy n Bright recognizes the importance of personalized learning. Through small class sizes and one-on-one mentorship, the AI course is designed to provide tailored guidance to each student. This ensures that whether a student is a beginner or has prior coding experience, they can thrive in the program.

Additionally, the institute uses an adaptive learning platform that tracks students’ progress, identifies areas where they need more support, and offers resources to enhance their understanding. This personalized approach helps every student master the concepts and skills necessary to excel in the field of AI.

Practical Applications of AI:

One of the key advantages of the AI course at Brainy n Bright is the focus on practical applications. Students are not only learning theory but also how to apply AI in real-world situations. The projects are designed to simulate real-world challenges and provide students with opportunities to design AI solutions.

For example, students may work on projects such as:

Developing AI algorithms for smart cities.

Creating AI-driven healthcare systems for early diagnosis and treatment recommendations.

Designing machine learning models that predict market trends for businesses.

Building AI applications that enhance user experience in gaming or entertainment.

These hands-on experiences give students a deeper understanding of how AI is shaping industries and how they can contribute to these innovations.

Collaboration and Innovation:

Brainy n Bright fosters a culture of collaboration. Students are encouraged to work together on projects, exchange ideas, and innovate. This collaborative environment mirrors the modern workplace, where teamwork and the ability to work across disciplines are essential for success. By collaborating on AI projects, students gain invaluable experience in leadership, communication, and teamwork—skills that will serve them in their future careers.

Global Perspective and Industry Insights:

Located in the UAE, a hub for innovation and technology, Brainy n Bright offers students a global perspective on AI education. The UAE government has made significant investments in AI, with initiatives like the National AI Strategy 2031 aiming to make the country a leader in AI technology and applications. Brainy n Bright aligns its course offerings with these national goals, ensuring that students are prepared to contribute to the UAE’s growing AI ecosystem.

Moreover, the institute brings in industry professionals and experts for guest lectures and workshops, providing students with insights into the latest AI trends and developments. This exposure to industry knowledge helps students stay up-to-date with cutting-edge innovations and prepares them for future careers in AI.

Preparing for AI Careers:

The demand for AI professionals is growing, not only in the UAE but globally. According to recent studies, AI-related jobs are expected to increase by 50% in the next decade. Whether it’s AI engineers, data scientists, or machine learning specialists, the opportunities are vast.

Brainy n Bright’s AI course is designed to prepare students for these careers. By the end of the course, students will have the skills needed to:

Develop AI systems and applications.

Work with large datasets and use machine learning models to derive insights.

Implement AI solutions for businesses and industries.

Understand the ethical and societal implications of AI.

Through career counseling, Brainy n Bright also guides students on potential career paths, internship opportunities, and higher education options in AI and related fields.

Conclusion:

Artificial intelligence is transforming the world, and with Brainy n Bright’s AI course, students in the UAE have the unique opportunity to be at the forefront of this transformation. The course not only teaches technical skills but also fosters creativity, innovation, and ethical responsibility, preparing students to become leaders in the AI-driven future.

As AI continues to evolve and impact all areas of life, the importance of AI education cannot be overstated. Brainy n Bright’s commitment to providing a comprehensive, hands-on, and personalized learning experience ensures that students are not only prepared for the future but are also empowered to shape it.

Join Brainy n Bright Today:

If you are ready to embark on an exciting journey into the world of AI and become a future innovator, Brainy n Bright’s Artificial Intelligence Course in UAE is the perfect platform to start. With a curriculum designed for the future, expert instructors, and a supportive learning environment, you can be confident that you’re receiving the best AI education in the region. Enroll today and take the first step toward a successful career in artificial intelligence!

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[jcmarchi]

Weekly News for Designers № 719

New Post has been published on https://thedigitalinsider.com/weekly-news-for-designers-%e2%84%96-719/

Weekly News for Designers № 719

Figma AI Updates to Elevate Your Design Workflow Figma has shared some prototypes for platform updates that integrate AI. This Tuts+ article covers each of them to explore their possibilities.

State of Brand Report 2023 Discover key insights into the trends, challenges and strategies of branding this year.

Internet Artifacts Explore artifacts from the early days of the internet right up until the present day.

Naming Variables In CSS Some collected thoughts from Jonathan Dallas related to naming CSS Custom Properties.

The Negative Impact of Mobile-First Web Design on Desktop Mobile-first web designs cause significant usability issues when viewed on desktop.

Free T-Shirt Mockup Templates for Photoshop These free realistic iPhone mockup templates are perfect for showcasing the UI or UX of your mobile app design or responsive website.

Introducing Learn Performance Course This is new and free course is intended for those that care about web performance, but may be just beginning to get familiar with it.

It’s 2023, Here is Why Your Web Design Sucks Heather Buchel explores the reasons why we no longer have web designers.

State of React 2023

Let’s Reinvent the Wheel

The 2023 Design Tools Survey This survey gathers usage data from thousands of designers each year and many of the design companies you know use this data to better understand and improve the design tools industry.

CSS & JavaScript Snippets for Creating Notification UIs A collection of CSS and JavaScript code snippets for creating unique notification and alert systems and UIs.

Image Layer Animations with Clip-Path Some ideas for speedy page transition animations with layered images using clip-path.

Common Questions About Interpreting Page Speed Reports Take a closer look at how various performance tools audit and report on performance metrics, such as core web vitals.

Geist Font A new and free typeface that has been specifically designed for developers and designers.

Photoshop Action Sets for Cinema & Movie Effects A collection of one-click cinema & movie effect Photoshop action sets that will take your photos to the next level.