Learning AI - Free College-Level Courses

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If you are interested in taking some free AI courses offered by Google, Harvard, and others, here are 8 you might consider on a variety of approaches. For Coursera courses without the trial, go to the course you want to take and click 'Enroll for free', then 'Audit the course'. You'll need to create an account to take courses, but won't need to pay anything.

Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having an understanding of AI as a whole.  https://lnkd.in/eW5k4DVz

Microsoft offers an AI course that covers the basics and more. Start with an introduction and continue learning about neural networks and deep learning.  https://lnkd.in/eKJ9qmEQ

Introduction to AI with Python from Harvard University (edX) is a full 7-week course to explore the concepts and algorithms of AI. It starts with the technologies behind AI and ends with knowledge of AI principles and machine learning libraries.  https://lnkd.in/g4Sbb3nQ

LLMOps are Large Language Model Ops offered by Google Cloud in collaboration with DeepLearning. Taught by Erwin Huizenga, it goes through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM.

Big Data, Artificial Intelligence, and Ethics is a 4-module course offered by Coursera from the University of California - Davis that covers big data and introduces IBM's Watson as well as learning about big data opportunities and knowing the limitations of AI. I think the inclusion of ethics is an important element.

AI Applications and Prompt Engineering is an edX introductory course on prompt engineering that starts with the basics and ends with creating your applications.

Prompt Engineering for ChatGPT is a specific 6-module course from Vanderbilt University (through Coursera) that offers beginners a starting point for writing better prompts.

Another course on ChatGPT Prompt Engineering for Developers is offered by OpenAI in collab with DeepLearning and it is taught by Isa Fulford and Andrew Ng.  It covers best practices and includes hands-on practice. 


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