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Stop Googling “How to Learn AI”

Stop Googling “How to Learn AI”

This is the only list you need. 80 free AI courses, properly organized, and actually worth your time.

Diwas Basnet
December 13, 2025

AI isn’t the future anymore. It’s already here.
The real problem is not “where do I start?”. It’s “what’s actually worth my time?”

This list cuts through the noise.
80 legit AI courses from top universities, big tech, and research labs. No fluff, no random YouTube rabbit holes. Every course is linked, structured, and chosen to actually help you level up. Whether you’re brand new to AI or already building stuff with it, this is your go-to map.

Complete AI Learning Resources Table (80 Courses)

#	Course (Hyperlinked)	Provider	Level	Prerequisites	Core Focus	Duration
1	Elements of AI	University of Helsinki	Beginner	None	AI fundamentals, real-world AI	6 weeks
2	AI for Everyone	DeepLearning.AI	Beginner	None	AI literacy, ethics, business	6 hrs
3	Introduction to Generative AI	Google Cloud	Beginner	None	GenAI basics, prompting	8 hrs
4	AI 101	MIT OCW	Beginner	None	Intro to AI	40 min
5	AI and Algorithms	MIT OCW	Intermediate	Python, Linear Algebra	ML, NLP, algorithms	Self-paced
6	Machine Learning Crash Course	Google	Beginner–Intermediate	None	ML with TensorFlow	15 hrs
7	Introduction to AI	IBM	Beginner	None	AI, ML, DL, NLP	10 hrs
8	Building AI Chatbots Without Programming	IBM	Beginner	None	Chatbots, WatsonX	14 hrs
9	Google AI Essentials	Google	Beginner	None	AI productivity, ethics	4 hrs
10	CS50 AI with Python	Harvard	Intermediate	Python	Search, ML, NLP	7 weeks
11	Intro to Deep Learning (6.S191)	MIT	Advanced	None	DL, CV, NLP	20 hrs
12	Artificial Intelligence	MIT OCW	Intermediate	None	Reasoning, NN, search	24 hrs
13	Practical Deep Learning for Coders	fast.ai	Advanced	Coding	DL applications	30+ hrs
14	ChatGPT Prompt Engineering for Developers	DeepLearning.AI + OpenAI	Intermediate	None	Prompt engineering	1.5 hrs
15	Generative AI for Everyone	DeepLearning.AI	Beginner	None	GenAI tools, ethics	4 hrs
16	IBM SkillsBuild AI	IBM	Beginner	None	AI foundations	10 hrs
17	AI for All	NVIDIA	Beginner	None	AI basics, GenAI	2.5 hrs
18	Building RAG Agents with LLMs	NVIDIA	Intermediate	Python, DL	RAG, LLMs	8 hrs
19	Generative AI Explained	NVIDIA	Beginner	None	GenAI overview	2 hrs
20	CUDA Introduction	NVIDIA	Beginner	C/C++ basics	GPU computing	1 hr
21	TensorFlow 2.0 Complete Course	freeCodeCamp	Beginner	Python	Neural networks	7 hrs
22	Generative AI Full Course	freeCodeCamp	Beginner	None	LLMs, vectors	30+ hrs
23	Intro to Artificial Intelligence	Stanford (Udacity)	Intermediate	None	AI fundamentals	16 weeks
24	AIoT Foundations	Udacity	Intermediate	AI, IoT basics	AI + IoT	2 months
25	AI Fundamentals	Microsoft	Beginner	None	Azure AI	16 hrs
26	Intro to Machine Learning with Azure	Microsoft	Beginner–Intermediate	None	ML on Azure	22 hrs
27	Intro to Machine Learning	Udacity	Intermediate	Python, Math	Supervised ML	65 hrs
28	ML Interview Preparation	Udacity	Advanced	ML basics	Interviews	4 hrs
29	AWS Machine Learning Foundations	AWS	Beginner–Intermediate	None	ML on AWS	11 hrs
30	Data Science Interview Prep	Udacity	Intermediate	Python, SQL	Interviews	6 hrs
31	Intro to Data Analysis	Udacity	Intermediate	Python	Data analysis	20 hrs
32	Agentic AI for Leaders	Vanderbilt	Beginner	None	AI agents	5 hrs
33	Data Analysis with R	Udacity	Beginner–Intermediate	None	R, EDA	23 hrs
34	DSA Interview Prep	Udacity	Advanced	DSA	Coding interviews	2 hrs
35	Secure and Private AI	Udacity	Advanced	ML, PyTorch	Privacy, FL	120 hrs
36	Sample-based Learning Methods	University of Alberta	Intermediate	Python, Math	Reinforcement learning	22 hrs
37	Ethics of AI	University of Helsinki	Beginner	None	AI ethics	Self-paced
38	AI for Marketing Optimization	edX	Beginner–Intermediate	None	AI marketing	3 weeks
39	Future of Work	World Bank	Beginner	None	AI impact	5 weeks
40	Building Large Language Models	Stanford	Beginner–Intermediate	None	LLMs	2 hrs
41	Language Modeling from Scratch	Stanford	Beginner–Intermediate	None	LLM basics	1 hr
42	Overview of Transformers	Stanford	Beginner–Intermediate	None	Transformers	1 hr
43	Biology of a Large Language Model	Stanford	Beginner–Intermediate	None	LLM behavior	1 hr
44	GenAI for Healthcare	Stanford	Beginner–Intermediate	None	Healthcare AI	1 hr
45	AI-Powered People Manager	LinkedIn Learning	Beginner	None	AI for management	1 hr
46	Everyday AI Concepts	LinkedIn Learning	Beginner	None	AI for business	1 hr
47	Intro to AI	LinkedIn Learning	Beginner	None	Human-AI collaboration	2 hrs
48	AI Fluency	Anthropic	Beginner	None	Working with AI	3–4 hrs
49	Prompt Evaluation	Anthropic	Advanced	None	Prompt workflows	Self-paced
50	Real-world Prompting	Anthropic	Advanced	Prompt basics	Prompt engineering	Self-paced
51	Prompt Engineering Interactive Tutorial	Anthropic	Advanced	Prompt basics	Prompting	Self-paced
52	AI for Beginners	Microsoft	Beginner	None	AI fundamentals	12 weeks
53	AI for Business Users	Microsoft	Beginner	None	AI in Power BI	2 hrs
54	ML for Beginners	Microsoft	Beginner	None	Classic ML	12 weeks
55	Data Science for Beginners	Microsoft	Beginner	None	Python, DS	10 weeks
56	Generative AI for Beginners	Microsoft	Beginner	Basic coding	GenAI apps	Self-paced
57	AI Agents for Beginners	Microsoft	Beginner	Python	Agentic AI	Self-paced
58	Model Context Protocol	Microsoft	Beginner	APIs	MCP	Self-paced
59	Azure AI Computer Vision	Microsoft	Beginner	Azure basics	CV, OCR	2 hrs
60	Deep Learning Book	MIT Press	Advanced	Math, ML	DL theory	Reference
61	Sora Tutorials	OpenAI	Beginner	Sora access	AI video	Short
62	ChatGPT Edu	OpenAI	Beginner	None	Academic AI	1 hr
63	AI for K-12 Educators	OpenAI	Beginner	None	AI literacy	1 hr
64	AI for Task Automation	OpenAI	Beginner	None	AI productivity	18 min
65	Intro to OpenAI API	Codecademy	Beginner	None	OpenAI API	<1 hr
66	AI for Coding	Codecademy	Beginner	Basic coding	AI coding	1 hr
67	GenAI on AWS	Codecademy	Intermediate	Cloud basics	Chatbots	1 hr
68	Using OpenAI APIs with Python	Codecademy	Beginner	None	OpenAI APIs	2 hrs
69	Intro to Transformers	Codecademy	Intermediate	PyTorch	Transformers	2 hrs
70	Applied NLP with Hugging Face	LinkedIn Learning	Intermediate	Python	NLP apps	1 hr
71	AI Text Summarization	LinkedIn Learning	Advanced	Python	Summarization	2 hrs
72	MLOps Tools	edX	Beginner	ML basics	MLflow, CI/CD	4 weeks
73	Open Source Models with Hugging Face	DeepLearning.AI	Beginner	None	HF models	2 hrs
74	Hugging Face MCP Course	Hugging Face	Intermediate	Python	MCP	5 weeks
75	Prompt Engineering for Everyone	CodeSignal	Beginner	None	Prompting	5 hrs
76	Introduction to Robotics	Stanford	Intermediate	Math	Robotics	19 hrs
77	AI for Robotics	Stanford	Intermediate	Python, Math	SLAM	8 weeks
78	Robotics Foundations I	University of Naples	Intermediate	Math, Python	Robot modeling	8 weeks
79	Intro to Robotics	MIT	Intermediate	Engineering	Robotics	1 hr
80	Foundation Models & GenAI	MIT	Beginner	None	GenAI	47 min

You don’t need to learn everything. You just need to start.
Pick one course. Finish it. Then move up.

AI compounds fast. The people who win are the ones who stay consistent, not the ones who binge-watch tutorials and quit. Save this list. Come back to it as you grow. Use it like a skill stack, not a checklist.

Learn smart now, so future you isn’t playing catch-up later.

If this helped you stay ahead, share Get Into AI with someone who still thinks all AI updates are just hype.

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