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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.

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AI For Everyone (~ 7 hours) 937_90b7f9-89> |
DeepLearning.AI 937_c3bfe2-a3> |
Andrew Ng shares a non-technical introduction to AI concepts and applications for professionals on Coursera 937_07d636-99> | 937_5534f8-aa> |
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Intro to LLMs (~7 hours) 937_6c5f5b-eb> |
Andrej Karpathy 937_463df8-84> |
Easy to understand overview of LLMs with practical applications on YouTube 937_ddb706-2d> | 937_d3ea58-08> |
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Cognitive Classes (Variable) 937_30602f-c1> |
IBM Skills 937_c83611-57> |
A collection of AI courses from IBM on topics like ML, DL, and AI ethics 937_c41f38-b5> | 937_816fe8-00> |
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Practical Deep Learning for Coders (~20 hours) 937_2b46a1-a0> |
Fast.AI 937_30b338-0c> |
Hands-on deep learning course using notebooks, updated for 2024. Needs familiarity with Python 937_aa6365-63> | 937_4c71fd-e1> |
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Elements of AI (~15 hours) 937_1e7ea8-a9> |
University of Helsinki & Reaktor 937_2fa3fe-59> |
Introductory, interactive courses teaching at fundamental and intermediate level with quizzes 937_1f1452-f5> | 937_643d69-3e> |
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Generative AI for Beginners (Variable) 937_885d36-32> |
Microsoft Learn 937_c18d5b-c2> |
A beginner-friendly video series covering core GenAI concepts and use cases based on Microsoft tools 937_6ad70e-a6> | 937_50af7e-f9> |
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Introduction to Generative AI (~8 hours) 937_eff3b8-af> |
Google Skills 937_1666c4-89> |
Overview of Generative AI on Google Cloud and Vertex AI 937_a57df4-24> | 937_3bd336-e8> |
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OpenAI Academy (Variable) 937_4fc82e-5d> |
OpenAI 937_4a48b8-94> |
Broad variety of community generated content to promote AI Literacy 937_26e64b-1e> | 937_bb4f43-04> |
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Hour of AI 937_1ca86d-ef> |
CSforAll 937_cde4bb-41> |
Targeted for K-12 students with easy to consume hands-on modules 937_61d294-0e> | 937_4c0c9c-f6> |
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AI Skills Coalition 937_d0544f-82> |
AI For Good 937_5eea89-48> |
Bridging global skills gap on GenAI with a focus on inclusivity and sustainability – earn certificates! 937_c5a999-7c> | 937_779bea-64> |
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NIST AI RMF Playbook 937_e10598-87> |
NIST 937_795829-c8> |
Bridging global skills gap on GenAI with a focus on inclusivity and sustainability – earn certificates! 937_f4068c-14> | 937_cb1796-b6> |
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AI Fluency (~4 hours) 937_5cb6cd-fc> |
Anthropic 937_bb8ff7-a8> |
Learn to collaborate with AI systems effectively, efficiently, ethically, and safely 937_3644a2-f7> | 937_a067de-5d> |
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Open Learning (MIT) 937_887884-82> |
MIT 937_0d7e47-bb> |
A variety of free courses on AI with a technical bent and rigor 937_60b25b-74> | 937_ede865-df> |
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ChatGPT Prompt Engineering for Developers 937_a3dc16-0b> |
DeepLearning.AI + OpenAI 937_ff65c2-5d> |
Practical prompting patterns and workflows, including summarizing, inferring, transforming and expanding 937_e9253b-af> | 937_35673e-50> |
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HuggingFace LLM Course 937_b2764e-99> |
HuggingFace 937_424f3c-33> |
LLM and NLP fundamentals using the Hugging Face ecosystem, plus practical tooling orientation 937_f6038d-06> | 937_ec0081-cb> |
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Machine Learning Crash Course 937_850504-65> |
Google Cloud 937_eda75a-59> |
Practical prompting patterns and workflows, including summarizing, inferring, transforming and expanding 937_4589c8-92> | 937_6cd516-37> |
Last reviewed: Mar 2026