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Welcome to your go-to resource for building practical AI knowledge. Whether you’re just starting out or looking to deepen your skills, this curated vault features handpicked, high-value, free learning resources, organized by level and topic. Each resource includes a quick description, estimated time commitment, and why it’s worth your time.
COURSE |
SOURCE |
DESCRIPTION |
LINK |
|
AI For Everyone (~ 7 hours) |
DeepLearning.AI |
Andrew Ng shares a non-technical introduction to AI concepts and applications for professionals on Coursera |
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|
Intro to LLMs (~7 hours) |
Andrej Karpathy |
Easy to understand overview of LLMs with practical applications on YouTube |
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Cognitive Classes (Variable) |
IBM Skills |
A collection of AI courses from IBM on topics like ML, DL, and AI ethics |
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|
Practical Deep Learning for Coders (~20 hours) |
Fast.AI |
Hands-on deep learning course using notebooks, updated for 2024. Needs familiarity with Python |
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Elements of AI (~15 hours) |
University of Helsinki & Reaktor |
Introductory, interactive courses teaching at fundamental and intermediate level with quizzes |
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Generative AI for Beginners (Variable) |
Microsoft Learn |
A beginner-friendly video series covering core GenAI concepts and use cases based on Microsoft tools |
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Introduction to Generative AI (~8 hours) |
Google Skills |
Overview of Generative AI on Google Cloud and Vertex AI |
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OpenAI Academy (Variable) |
OpenAI |
Broad variety of community generated content to promote AI Literacy |
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Hour of AI |
CSforAll |
Targeted for K-12 students with easy to consume hands-on modules |
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AI Skills Coalition |
AI For Good |
Bridging global skills gap on GenAI with a focus on inclusivity and sustainability – earn certificates! |
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NIST AI RMF Playbook |
NIST |
Bridging global skills gap on GenAI with a focus on inclusivity and sustainability – earn certificates! |
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AI Fluency (~4 hours) |
Anthropic |
Learn to collaborate with AI systems effectively, efficiently, ethically, and safely |
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Open Learning (MIT) |
MIT |
A variety of free courses on AI with a technical bent and rigor |
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ChatGPT Prompt Engineering for Developers |
DeepLearning.AI + OpenAI |
Practical prompting patterns and workflows, including summarizing, inferring, transforming and expanding |
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HuggingFace LLM Course |
HuggingFace |
LLM and NLP fundamentals using the Hugging Face ecosystem, plus practical tooling orientation |
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Machine Learning Crash Course |
Google Cloud |
Practical prompting patterns and workflows, including summarizing, inferring, transforming and expanding |
Last reviewed: Mar 2026