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Machine Learning A-Z: AI, Python & R + ChatGPT Prize

Colleagues, in the “Machine Learning A-Z: AI, Python & R + ChatGPT Prize” program you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions and powerful analysis. Make robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purposes. Handle specific topics like Reinforcement Learning, NLP and Deep Learning along with advanced techniques like Dimensionality Reduction. Learn which Machine Learning model to choose for each type of problem. Skill-based training modules include: 1) Data Preprocessing, 2) Regression, 3) Classification, 4) Clustering, 5) Association Rule Learning, 6) Reinforcement Learning, 7) Natural Language Processing, 8) Deep Learning, 9) Dimensionality Reduction, and 10) Model Selection & Boosting.

Enroll today (teams & executives are welcome): https://tinyurl.com/bdzbu74u 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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Structuring Machine Learning Projects (DeepLearning.AI)

Colleagues, the “Structuring Machine Learning Projects” will equip you to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer and Multi-Task Learning. Training modules address: 1) ML Strategy (Part I): Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities - Why ML Strategy, Orthogonalization, Single Number Evaluation Metrics, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metrics?, Why Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance and Improving your Model; and Performance; and 2) ML - Strategy (Part II): Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, and Whether to use End-to-end Deep Learning. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/RGPGQa 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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Generative AI for Data Engineers Specialization (IBM)

Colleagues, the “Generative AI for Data Engineers Specialization” from IBM will equip you to launch your generative AI Data Engineering career. Get job-ready as a data engineer with knowledge of generative AI. Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio, and video. Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts. Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools. Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories. Acquire highly marketable skills in Convolutional Neural Networks, Information Engineering, Querying Databases, Data Generation, Generative AI, Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, Prompt Engineering and Prompt Patterns. This specialization is designed not only for Data Engineers but for anyone who might be interested in the use of generative AI in Data Engineering. Explore generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches and explore commonly used prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Skill-base training lessons cover: 1) Generative AI: Introduction and Applications, 2) Generative AI: Prompt Engineering Basics, and 3) Generative AI: Elevate your Data Engineering Career. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/09Q9nR 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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Automate the Boring Stuff with Python Programming

Colleagues, the “Automate the Boring Stuff with Python Programming” course offers practical development skills for office workers, academics, and administrators who want to improve their productivity. [51 lectures - 9h 30m total length]. Automate tasks on their computer by writing simple Python programs. Write programs that can do text pattern recognition with "regular expressions". Programmatically generate and update Excel spreadsheets. Parse PDFs and Word documents. Crawl websites and pull information from online sources. Write programs that send out email notifications. Use Python's debugging tools to quickly figure out bugs in your code. Programmatically control the mouse and keyboard to click and type for you. Skill-based training modules address: 1) Python Basics, 2) Flow Control, 3) Functions, 3) Handling Errors with try/except, 4) Writing a Complete Program: Guess the Number, 5) Lists, 6) Dictionaries, 6) Strings, 7) Running Programs from the Command Line, 8) Regular Expressions, 9) Files, 10) Debugging, 11) Web Scraping, 12) Excel, Word, and PDF Documents, 13) Email, and 14) GUI Automation.

Enroll today (teams & executives are welcome): https://tinyurl.com/3e88kx8x 

Download your free Python, R, TensorFlow and PyTorch - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

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Data Structures and Algorithms Specialization

Colleagues, in the “Data Structures and Algorithms Specialization” program you will master algorithmic programming techniques and advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Ace coding interviews by implementing each algorithmic challenge in this Specialization. Apply the newly-learned algorithmic techniques to real-life problems, such as analyzing a huge social network or sequencing a genome of a deadly pathogen. Gain high-demand skills in Skills you'll gain Software Testing, Data Structure, Computer Programming, Algorithms and Debugging. This Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. Skill-based training modules include: 1) Algorithmic Toolbox, 2) Data Structures, 3) Algorithms on Graphs, 4) Algorithms on Strings, 5) Advanced Algorithms and Complexity, and 6) Genome Assembly Programming Challenge.

Enroll today (teams & executives are welcome): https://imp.i384100.net/BnEnKx 

Download your free Data Science - Career Transformation Guide.

For your listening-reading pleasure:

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

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Complete Python Bootcamp From Zero to Hero in Python (training)

Dev Colleagues, in the “Complete Python Bootcamp From Zero to Hero in Python” you will learn Python like a Professional Start from the basics and go all the way to creating your own applications and games. [156 lectures - 22+ hours of training]. Learn how to leverage the power of Python to solve tasks, build games and programs that use Python libraries, use Python for your own work problems or personal projects, create a portfolio of Python based projects you can share, use Python professionally, learning both Python 2 and Python 3, and create games with Python, like Tic Tac Toe. Learn advanced Python features, like the collections module and how to work with timestamps and Object Oriented Programming with classes. Skill-based training modules include: 1) Python Object and Data Structure Basics, 2) Comparison Operators, 3) Statements, 4) Methods and Functions, 5) Milestone Project, 6) Object Oriented Programming, 7) Modules and Packages, 8) Errors and Exceptions Handling, 9) Decorators, 10) Generators, 11) Advanced Python Modules, 12) Web Scraping with Python, 13) Working with Images with Python, 14) Working with PDFs and Spreadsheet CSV Files, 15) Emails with Python, 16) Final Capstone Python Project, 17) Advanced Python Objects and Data Structures, and 18) Introduction to GUIs.

Enroll today (teams & executives are welcome): https://tinyurl.com/3u49kben 

Download your free Python, R, TensorFlow and PyTorch - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

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Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

Colleagues, in the “Machine Learning A-Z: AI, Python & R + ChatGPT Prize” training program you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. [386 lectures - 42 hours 48 minutes of training]. Code templates included. Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions, powerful analysis and robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purposes. Handle specific topics like Reinforcement Learning, NLP and Deep Learning and advanced techniques like Dimensionality Reduction. Understand which Machine Learning model to choose for each type of problem. Skill-based training lessons include: 1) Data Preprocessing, 2) Regression, 3) Classification, 4) Clustering, 5) Association Rule Learning, 6) Reinforcement Learning, 7) Natural Language Processing, 8) Deep Learning, 9) Dimensionality Reduction, and 10) Logistic Regression. 

Enroll today (teams & executives are welcome): https://tinyurl.com/5dm58hae 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More

Colleagues, the “ChatGPT Complete Guide: Learn Midjourney, ChatGPT” program will equip you with 25+ Generative AI Tools to 10x Your Business, Productivity, Creativity | GenAI, ChatGPT, CustomGPTs, Prompt Engineering. Learn to create content, synthesize information, and learn faster than ever with effective prompt engineering, turn your creativity into paid work, generate fresh ideas, reach new audiences, and scale your projects, achieve your goals faster with ChatGPT, manage your time, prioritize tasks, and create an optimized daily schedule, generate targeted content with ChatGPT, capitalize on trends, create ads, newsletters, and media campaigns, improve your communication, leadership, problem-solving, and social skills with personalized ChatGPT feedback, easily create AI-generated speech for any use case and even clone your own voice entirely. [405 lectures • 25 hours 25 minutes of teaching]. Skill-based training modules include: 1) ChatGPT Complete Guide Introduction, 2) ChatGPT: Fundamentals and 150+ Prompting Ideas for ChatGPT, 3) ChatGPT: Prompt Engineering and Custom, 4) ChatGPT: Enhancements, Extensions, and Advanced Features, 5) ChatGPT: Simplify Complex Information, Instantly Proofread, and Re-Organize Data, 6) ChatGPT: Content Creation, Social Media, Copywriting, SEO, and Video Scripts, 7) ChatGPT: Self-Guided Learning, Qualitative and Quantitative Research, 8) Custom GPTs: Create Your Own Custom Versions of ChatGPT, 9) CustomGPTs (Previously Plugin Store): Improve ChatGPT with CustomGPTs, 9) ChatGPT Mobile App: Access the Power of ChatGPT from Your Phone, 10) ChatGPT: How LLM's Work, How GPT Was Trained, and How GPT Generates Outputs, 11) ChatGPT: Real World Use Cases, Spreadsheets, and Training ChatGPT on Writing, 12) ChatGPT: API Key Setup and Building Intelligent Assistants, 13) Gemini: AI-Powered Google Workspace Built Into Gmail, Docs, Sheets, and More, 14) Bing: AI-Powered Search, Chat Using GPT-4, and Image Creation, 15) Notion AI: Write Faster, Use AI Templates, Organize Everything In One Place, 16) Perplexity.AI: For Research and Writing, 17) Google's Vertex AI: Model Customization, Training, and Deployment, 18) Microsoft Copilot: Integrated AI Workflow, 19) Google Gemini: Fundamentals and Creative Text Generation, 20) Make.com: Create Advanced Time Saving Automations, 21) Midjourney: Setup, Settings, Workflow, Commands, Prompting, and Stylization - Reiterating, Upscaling, Aspect Ratios, and Remixing, Advanced Parameters, Editing Your Photos with Midjourney, Product Photography, Landing Pages, and Blending Two Images Together, 22) Adobe Firefly: Generative Art, Text to Image, Re-coloring, and Text Effects - Photoshop AI: Remix, Regenerate, and Reinvent your Images, 23) DALL-E 2: Keyboard Shortcuts, Inpainting, Outpainting, and Image Blending … and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/4nf3s8f3 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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R Programming A-Z™: R For Data Science With Real Exercises

Colleagues, in the “R Programming A-Z™: R For Data Science With Real Exercises” program you will learn programming in R And R Studio, Data Analytics, Data Science, Statistical Analysis, Packages, Functions, and GGPlot2. You will also learn the core principles of programming, how to create vectors in R and create variables, integer, double, logical, character and other types in R, create a while() loop and a for() loop in R, build and use matrices in R, the matrix() function, learn rbind() and cbind(), and how to install packages in R. [80 lectures • 10 hours of training]. Skill-based training modules address: 1) Hit The Ground Running, 2) Core Programming Principles, 3) Fundamentals Of R, 4) Matrices, 5) Data Frames, 6) Advanced Visualization With GGPlot2, and 7) Homework Solutions

Enroll today (teams & executives are welcome): https://imp.i384100.net/75Azqr 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team) https://datasciencecertificationtraining.blogspot.com/ 

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Artificial Intelligence: Reinforcement Learning in Python

Colleagues, the “Artificial Intelligence: Reinforcement Learning in Python” will provide you with a complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications. [112 lectures • 14 hours 41 minutes of training]. Apply gradient-based supervised machine learning methods to reinforcement learning. Understand reinforcement learning on a technical level. Understand the relationship between reinforcement learning and psychology. Implement 17 different reinforcement learning algorithms. Understand important foundations for OpenAI ChatGPT, GPT-4. Skill-based training modules include: 1) Return of the Multi-Armed Bandit, 2) High Level Overview of Reinforcement Learning, 3) Markov Decision Processes, 4) Dynamic Programming, 5) Monte Carlo, 6) Temporal Difference Learning, 7) Approximation Methods, 8) Interlude: Common Beginner Questions, 8) Stock Trading Project with Reinforcement Learning, 9) Setting Up Your Environment (FAQ by Student Request), 10) Extra Help With Python Coding for Beginners (FAQ by Student Request), 11) Effective Learning Strategies for Machine Learning. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2xpw6ts4 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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Building and Running Your First Docker App

Colleagues, in the “Building and Running Your First Docker App” program you’ll learn how an application can be run using Docker containers. First, you’ll explore the case for Docker and learn about the sample application that will be used throughout the course. Next, you’ll discover the role of Docker images and how you can build your own custom application image using a Dockerfile and Docker commands. From there, you’ll learn how to run a custom container and communicate with additional containers such as a database container. Finally, you'll cover how to build images and start multiple containers using an orchestration tool called Docker Compose. When you’re finished with this course, you’ll have the core skills and knowledge of Docker needed to build your own custom images and run your application in a container. Skill-based training lessons include: 1) Setting up Your Development Environment, 2) Create an Application Image, 3) Run an Application Container, and 4) Communicate between Multiple Containers. 

Enroll today (teams & executives are welcome): https://pluralsight.pxf.io/XYQ7jg 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

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Data Science Specialization

Colleagues, the “Data Science Specialization” program is a 10-course introduction to data science, developed and taught by leading professors. Use R to clean, analyze, and visualize data. Navigate the entire data science pipeline from data acquisition to publication. Use GitHub to manage data science projects. Perform regression analysis, least squares and inference using regression models. Acquire high-demand skills in Github, Machine Learning, R Programming and Regression Analysis. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Skill-based training modules cover: 1) The Data Scientist’s Toolbox, 2) R Programming, 3) Getting and Cleaning Data, 4) Exploratory Data Analysis, 4) Reproducible Research, 5) Statistical Inference, 6) Regression Models, 7) Practical Machine Learning, 8) Developing Data Products and 9) Data Science Capstone.

Enroll today (teams & executives are welcome): https://imp.i384100.net/y20m12  

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

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Big Data Architect Masters Program

Colleagues, in the Big Data Architect Masters Program: The average salary earned by Big Data Architect is some $147,953 per annum. Develop a proficiency in tools and systems used by Big Data experts. This Big Data Engineer Course  includes training on Hadoop and Spark stack, Cassandra, Talend and Apache Kafka messaging system. The curriculum of our Big Data Engineering Courses has been determined by extensive research on 5000+ job descriptions across the globe. Edureka's comprehensive Big Data Engineer training course is designed by Industry top experts with real time project experience.  Training modules equip you in: 1) Java Essentials - training designed on one of the most popular platform ‘Java’, to train you on its basic concepts of Java and gain an entry into the programming world as a Java Developer, 2) Big Data Hadoop Certification Training- is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop. Throughout this online instructor-led Hadoop Training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism and Finance domain using Edureka's Cloud Lab, 3) Apache Spark and Scala Certification Training - prepares you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka, 4) Apache Cassandra Certification Training - is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model, and its Administration. Throughout the Cassandra course, you will learn to install, configure, and monitor Cassandra, along with its integration with other Apache frameworks like Hadoop, Spark, and Kafka, and 5) Talend Certification Training For Big Data Integration - Designed to meet the industry benchmarks, Edureka’s  Talend certification training for Big Data is curated by top industry experts. This Talend certification course is created to help you learn how to use Talend Open Studio to simplify Big Data Integration. This Talend Data integration certification is live, instructor-led & helps you master key Talend concepts, with hands-on demonstrations. This course is fully immersive where you can learn and interact with the instructor and your peers. Enroll now in this Talend online course & be a professional Talend certified developer , and 6) Apache Kafka Certification Training Course - learn  the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring. The Apache Kafka training course is designed to provide insights into Integration of Kafka with Hadoop, Storm and Spark, understand Kafka Stream APIs, and implement Twitter Streaming with Kafka.

Enroll today (teams & executives are welcome): https://fxo.co/Esq4 

Download your free Data Science - Career Transformation Guide.

For your listening-reading pleasure:

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

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Automate Data Pipelines (training)

Colleagues, in the Automate Data Pipelines: Learn to build pipelines leveraging Airflow DAGs to organize your tasks along with AWS resources such as S3 and Redshift. Gain high-demand skills including Automate Data Pipelines, Apache Airflow, Data pipeline dags, Data pipeline partitioning, Amazon s3, Data pipeline maintenance,  Redshift, Data pipeline creation and Data lineage. Lessons: 1) Introduction to Automating Data Pipelines. Welcome to Automating Data Pipelines. In this lesson, you'll be introduced to the topic, prerequisites for the course, and the environment and tools you'll be using to build data pipelines, 2) Data Pipelines - learn the components of a data pipeline including Directed Acyclic Graphs (DAGs). You'll practice creating data pipelines with DAGs and Apache Airflow, 3) Airflow and AWS - create connections between Airflow and AWS first by creating credentials, then copying S3 data, leveraging connections and hooks, and building S3 data to the Redshift DAG, 4) Data Quality - track data lineage and set up data pipeline schedules, partition data to optimize pipelines, investigating Data Quality issues, and write tests to ensure data quality, 5) Production Data Pipelines - learn how to build Pipelines with maintainability and reusability in mind. They will also learn about pipeline monitoring, and 6) Hands-on Project: Data Pipelines - work on a music streaming company’s data infrastructure by creating and automating a set of data pipelines with Airflow, monitoring and debugging production pipelines.

Enroll today (teams & executives are welcome): https://imp.i115008.net/4P0JMn 

Download your free Data Science - Career Transformation Guide.

For your listening-reading pleasure:

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)

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Python Mega Course: Learn Python in 60 Days, Build 20 Apps

Colleagues, in the “Python Mega Course: Learn Python in 60 Days, Build 20 Apps” you will learn Python from zero to complete by building real programs to gain the skills needed to land an entry-level job. [458 lectures - 51 hours 47m of training]. Skill-based training modules include: 1) Python Basics, 2) Python Intermediate, 3) APIs, 4) Data Analysis and Visualization, 5) Web Scraping, 6) Object Oriented Programming (OOP), 7) SQL Databases and GUIS, 8) Data Science and Machine Learning, 9) Web Development with Flask and Django, and 10) Building Python Packages. 

Enroll today (teams & executives are welcome): https://tinyurl.com/34uuhw9h 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

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OpenAI for Beginners: Programmatic Prompting (training)

Colleagues, in the “Open AI for Beginners: Programmatic Prompting” training you will learn to programmatically prompt an AI model using OpenAI API and Python, enrich existing data using AI via OpenAI API and JSON, and generate information in a web app using an AI model via OpenAI API. Gain high-demand skills in Artificial Intelligence (AI), OpenAI, AI prompting and Large Language Models. In the Guided Learning Project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app.

This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. Skill-based training modules include: 1) Set up OpenAI API, 2) Experiment with the key concepts of OpenAI, 3) Prompt programmatically an OpenAI text model and generate a response, 4) Demonstrate your ability to prompt OpenAI text models via Python and OpenAI API, 5) Data enrich the movie collection with OpenAI, 6) Demonstrate your ability to enrich data with OpenAI API, 6) Generate movie plots programmatically, and 7) Enrich a music collection website with OpenAI. 

Recommended experience: Foundational knowledge of Python (objects, variables, functions), HTML (tags, attributes, classes), JavaScript/JSON (variables, functions, syntax).

Enroll today (teams & executives are welcome): https://imp.i384100.net/Y9r7PR 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

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Building a JavaScript Development Environment

Colleagues, the “Building a JavaScript Development Environment” provides you with a playbook outlining the key decisions you need to make. Build a robust development environment that handles bundling, linting, transpiling and testing. By the end of this course, you will be able to create a rapid feedback JavaScript development experience that suits your team's unique preferences. You will be ready to move on to building applications in a wide array of technologies including Angular, React, Node.js, and Electron. Skill-based training modules includes: 1) You Need a Starter Kit, 2) Editors and Configuration, 3) Package Management, 4) Development Web Server, 5) Automation, 6) Transpiling, 7) Bundling, 8) Linting, 9) Testing and Continuous Integration, 10) HTTP Calls, 11) Project Structure, 12) Production Build, and 13) Production Deploy. 

Enroll today (teams & executives are welcome): https://pluralsight.pxf.io/q4eY65 

Download your free Software Development - Career Transformation Guide. 

For your reading pleasure consider: 

1 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

2 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle) 

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)