Machine Learning’s Post

Thanks for sharing. Deeplearning.ai (Andrew Ng essentially) also has many short courses which are free to take, at least for now. They are more focused on specific aspects, but pretty good (and they often have a free gpu enabled notebook to code along) https://lnkd.in/e42hUAC7

Here are the top 15 free courses I'd recommend to learn AI in 2023: 1. Foundations of Prompt Engineering This course introduces the basics of prompt engineering and progresses to advanced prompt techniques. ✔ https://lnkd.in/dyEt4DGt 2. ChatGPT Prompt Engineering for Developers A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI. ✔https://lnkd.in/eiRtk-6q 3. Google's Introduction to Generative AI Aimed at explaining what Gen is, how it is used, and how it differs from traditional machine learning methods. ✔https://lnkd.in/eBQXfBe9 4. Harvard's Introduction to AI with Python Learn to use machine learning in Python in this introductory course on artificial intelligence. ✔ https://lnkd.in/eu4mZaAG 5. Microsoft's 'What Is Generative AI?' The basics of Gen AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethics. ✔ https://lnkd.in/eYNWzXUX 6. Learn Prompting A comprehensive course in prompt engineering with over 60 content modules. Takes you from beginner to advanced in the art of prompt engineering. ✔ https://lnkd.in/eNi_YNSe 7. Google's Introduction to Responsible AI Learn what Responsible AI is, why it’s essential, and how Google implements it in its products. ✔ https://lnkd.in/eTrwSU89 8. Harvard's Data Science: Machine Learning Learn about training data and how to use a set of data to discover potentially predictive relationships. You'll also learn how to build a movie recommendation system and data science techniques. ✔ https://lnkd.in/eX28syMJ 9. LangChain for LLM Application Development Gain essential skills in expanding the use cases and capabilities of language models in application development using LangChain. ✔ https://lnkd.in/evZVJbNy 10. Microsoft's Streamlining Your Work with Microsoft Bing Chat Learn how Bing Chat can perform a wide variety of tasks and help you streamline your entire workflow, from generating ideas and summarizing data to solving common work problems. ✔ https://lnkd.in/ejN-qrVy 11. How to build LLM apps that can see Heart Speak! ✔ https://bit.ly/46ACTS8 12. Microsoft's AI Fundamentals: Generative AI Understand how gen AI applications, such as copilots, support efficiencies. Describe how prompts and responses can be fine-tuned ✔ https://lnkd.in/dqjnzcCD 13. Amazon's Gen AI Learning Plan for Decision Makers ✔ https://lnkd.in/dFhmsvZC 14. Generative AI for Everyone. Get an overview of AI tools, and learn from real-world examples of generative AI in use today. ✔ https://lnkd.in/eFx7zCz7 15. AWS's Gen AI with Large Language Models Gain foundational knowledge, practical skills, and a functional understanding of how gen AI works ✔ https://lnkd.in/dEjN9PRm #artificialintelligence

Use AI to help you pivot, then call a coach to walk you through the process and smooth out the bumps.

Want to learn AI, Generative Learning, Python? I felt quite intimidated by these courses but absolutely LOVED getting stuck in! 1. Google AI Courses Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having a solid understanding of AI as a whole. 🦾 https://lnkd.in/eW5k4DVz 2. Microsoft AI Course Microsoft offers an AI course that covers the basics and then more. Start off with an introduction and continue through learning about neural networks and deep learning. 🦾 https://lnkd.in/eKJ9qmEQ 3. Introduction to AI with Python Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. 🦾 https://lnkd.in/g4Sbb3nQ 4. Prompt Engineering for ChatGPT This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. 🦾 https://lnkd.in/d-rCb-AM 5. ChatGPT Prompt Engineering for Devs OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. 🦾 https://lnkd.in/gtGc5Znp 6. LLMOps Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM. 🦾 https://lnkd.in/gMXDr7MJ 7. Big Data, Artificial Intelligence, and Ethics In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson. Start by learning about big data opportunities and end knowing the limitations of AI. 🦾 https://lnkd.in/gVEf3Dvm 8. AI Applications and Prompt Engineering edX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end knowing how to create your own applications. 🦾 https://lnkd.in/g2P9U_Bs Take Coursera courses without the trial: First, go to the course you want to take and click 'Enroll for free', then 'Audit the course'. Note: You'll need to create an account to take courses, but won't need to pay anything.

AI is poised to revolutionize nearly every field, from healthcare to transportation, by enhancing efficiency, personalization, innovation, decision-making, and human capabilities. Learning about AI is essential to understand the future of work, society, and the world around us. Here are the top 15 free courses I'd recommend to learn AI in 2024: 1. Foundations of Prompt Engineering: This course introduces the basics of prompt engineering and progresses to advanced prompt techniques. ✔ https://lnkd.in/dyEt4DGt 2. ChatGPT Prompt Engineering for Developers: A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI. ✔https://lnkd.in/eiRtk-6q 3. Google's Introduction to Generative AI: Aimed at explaining what Gen is, how it is used, and how it differs from traditional machine learning methods. ✔https://lnkd.in/eBQXfBe9 4. Harvard's Introduction to AI with Python: Learn to use machine learning in Python in this introductory course on artificial intelligence. ✔ https://lnkd.in/eu4mZaAG 5. Microsoft's 'What Is Generative AI?: The basics of Gen AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethics. ✔ https://lnkd.in/eYNWzXUX 6. Learn Prompting: A comprehensive course in prompt engineering with over 60 content modules. Takes you from beginner to advanced in the art of prompt engineering. ✔ https://lnkd.in/eNi_YNSe 7. Google's Introduction to Responsible AI: Learn what Responsible AI is, why it’s essential, and how Google implements it in its products. ✔ https://lnkd.in/eTrwSU89 8. Harvard's Data Science: Machine Learning: Learn about training data and how to use a set of data to discover potentially predictive relationships. ✔ https://lnkd.in/eX28syMJ 9. LangChain for LLM Application Development: Gain essential skills in expanding the use cases and capabilities of language models in application development using LangChain. ✔ https://lnkd.in/evZVJbNy 10. Microsoft's Streamlining Your Work with Microsoft Bing Chat: Learn how Bing Chat can perform a wide variety of tasks and help you streamline your entire workflow. ✔ https://lnkd.in/ejN-qrVy 11. How to build LLM apps that can see Heart Speak! ✔ https://bit.ly/46ACTS8 12. Microsoft's AI Fundamentals: Generative AI Understand how gen AI applications, such as copilots, support efficiencies. Describe how prompts and responses can be fine-tuned ✔ https://lnkd.in/dqjnzcCD 13. Amazon's Gen AI Learning Plan for Decision Makers ✔ https://lnkd.in/dFhmsvZC 14. Generative AI for Everyone: Get an overview of AI tools, and learn from real-world examples of generative AI in use today. ✔ https://lnkd.in/eFx7zCz7 15. AWS's Gen AI with Large Language Models: Gain foundational knowledge, practical skills, and a functional understanding of how gen AI works ✔ https://lnkd.in/dEjN9PRm #artificialintelligence #futuretechnology #aijobs #futurejobs #freecourse

Here are the top 15 free courses I'd recommend to learn AI in 2023: 1. Foundations of Prompt Engineering This course introduces the basics of prompt engineering and progresses to advanced prompt techniques. ✔ https://lnkd.in/dyEt4DGt 2. ChatGPT Prompt Engineering for Developers A free course on ChatGPT prompt engineering by DeepLearning AI and OpenAI. ✔https://lnkd.in/eiRtk-6q 3. Google's Introduction to Generative AI Aimed at explaining what Gen is, how it is used, and how it differs from traditional machine learning methods. ✔https://lnkd.in/eBQXfBe9 4. Harvard's Introduction to AI with Python Learn to use machine learning in Python in this introductory course on artificial intelligence. ✔ https://lnkd.in/eu4mZaAG 5. Microsoft's 'What Is Generative AI?' The basics of Gen AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethics. ✔ https://lnkd.in/eYNWzXUX 6. Learn Prompting A comprehensive course in prompt engineering with over 60 content modules. Takes you from beginner to advanced in the art of prompt engineering. ✔ https://lnkd.in/eNi_YNSe 7. Google's Introduction to Responsible AI Learn what Responsible AI is, why it’s essential, and how Google implements it in its products. ✔ https://lnkd.in/eTrwSU89 8. Harvard's Data Science: Machine Learning Learn about training data and how to use a set of data to discover potentially predictive relationships. You'll also learn how to build a movie recommendation system and data science techniques. ✔ https://lnkd.in/eX28syMJ 9. LangChain for LLM Application Development Gain essential skills in expanding the use cases and capabilities of language models in application development using LangChain. ✔ https://lnkd.in/evZVJbNy 10. Microsoft's Streamlining Your Work with Microsoft Bing Chat Learn how Bing Chat can perform a wide variety of tasks and help you streamline your entire workflow, from generating ideas and summarizing data to solving common work problems. ✔ https://lnkd.in/ejN-qrVy 11. How to build LLM apps that can see Heart Speak! ✔ https://bit.ly/46ACTS8 12. Microsoft's AI Fundamentals: Generative AI Understand how gen AI applications, such as copilots, support efficiencies. Describe how prompts and responses can be fine-tuned ✔ https://lnkd.in/dqjnzcCD 13. Amazon's Gen AI Learning Plan for Decision Makers ✔ https://lnkd.in/dFhmsvZC 14. Generative AI for Everyone. Get an overview of AI tools, and learn from real-world examples of generative AI in use today. ✔ https://lnkd.in/eFx7zCz7 15. AWS's Gen AI with Large Language Models Gain foundational knowledge, practical skills, and a functional understanding of how gen AI works ✔ https://lnkd.in/dEjN9PRm #artificialintelligence

MIT just made its AI classes available online for free. Payment is not necessary. The following ten classes are must-takes in 2024: 1. Using data to understand the world Capabilities in data analysis A few basic algorithms A Computational Notion Data Structures and Additional Enrol today at MIT Understanding the World Through Data" at https:edx. org/learn/data-science. 2. Python-Based Machine Learning Model Selection ML Project Management Issue Resolution Apps for the real world The MIT machine learning programme uses Python to move from linear models to deep learning. 3. Statistics Fundamentals Create estimators using the maximum likelihood and technique of moments Analyse data Concepts related to probability Practical applications Fundamentals of Statistics, Massachusetts Institute of Technology, https:edx. org/learn/statistics 4. An Overview of Python Programming and Computer Science Easy to use for beginners Teach Python Address issues Practical exercises Register today for the MIT Introduction to Computer Science and Python Programming course at https:edx. org/learn/computer-science. 5. Likelihood The Data-Driven Science of Uncertainty Concepts related to probability statistical techniques data analysis practical applications probability, the science of uncertainty and data, at http edx. org 6. Analytics for Supply Chains A data-driven strategy Management of the supply chain Analytical instruments Use in business applications The MIT supply chain analytics is available at https https://lnkd.in/d8g7hf3x. 7. An Overview of Data Science and Computational Thinking. Monte Carlo models. using the PyLab programme for plotting. Probabilistic modelling and statistical reasoning. Introduction to Computational Thinking and Data-4, available at http:edx. org 8. Starting my own business. Finding commercial prospects. creating and evaluating your product. busting the biggest entrepreneurship myths. Becoming an entrepreneur at MIT is available at https edx. org/ learn/entrepreneurship. 9. Using Computational Thinking in Simulation and Modelling Concepts of modelling Techniques of simulation The MIT uses computational thinking for modelling and simulation. 10. The Basics of Production Procedures Production techniques Design ideas Sciences of materials The principles of manufacturing processes at the MIT can be found at https:edx. org/learn/manufacturing/ —————— Need to learn ChatGPT? Start studying ChatGPT with my bestseller bundle "Ultimate ChatGPT guide" Master AI/ChatGPT With Bestseller Books