Search across educators, skills, and resources.

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Structured, practical courses from prompt engineering through agentic workflows.

Skills

Prompting, Agents, RAG, ML foundations

Claude Code and Tech Foundations for Product Managers

Practical Tech for PMs on Maven · Beginner to intermediate

Explicitly designed for PMs with no prior tech or AI experience who need intuitive foundations and practical Claude Code confidence.

Skills

Claude Code, Technical foundations, AI product work, PM workflows

Josh Starmer

StatQuest · Beginner to intermediate

Excellent plain-language explanations for statistics and machine learning concepts that underpin modern AI.

Skills

ML foundations, Statistics, Neural networks

Laurence Moroney

AI and Machine Learning for Coders · Beginner to intermediate

Practical developer-oriented teaching for ML foundations and TensorFlow.

Skills

TensorFlow, ML foundations, Computer vision, NLP

Aurelien Geron

Hands-On Machine Learning · Beginner to intermediate

One of the most useful hands-on books for classical ML plus neural network foundations.

Skills

Scikit-learn, TensorFlow, ML foundations, Deep learning

Luis Serrano

Serrano Academy · Beginner to intermediate

Clear visual explanations of machine learning and AI math concepts.

Skills

ML foundations, Math, Neural networks, AI foundations

Brandon Rohrer

Brandon Rohrer ML explanations · Beginner to intermediate

Good plain-English explanations of ML concepts, pitfalls, and practical mental models.

Skills

ML foundations, Deep learning, Model intuition

One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.

Topics

Agents, Context engineering, MCP, Transformers, Post-training, Open models

A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.

Topics

ML foundations, Classification, Embeddings, Neural networks

A broad catalog of structured AI courses, including many short practical courses from tool creators.

Topics

Generative AI, Deep learning, Prompting, Agents

A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.

Topics

Search, Knowledge representation, ML foundations, AI foundations

A strong foundation for people who need the math and modeling basics under applied AI.

Topics

ML foundations, Supervised learning, Unsupervised learning, Model evaluation

Good grounding in search, games, probability, and reinforcement learning before LLM-specific work.

Topics

Search, Planning, Reinforcement learning, AI foundations

Accessible AI literacy and business-facing AI learning for non-specialists.

Topics

AI foundations, Generative AI basics, Business use cases

A clear non-technical entry point for understanding AI concepts and social implications.

Topics

AI foundations, Ethics, Society, ML basics

Useful for analysts and business users who want structured, browser-based AI practice.

Topics

AI foundations, Data skills, Prompting, ML foundations

Good for beginners who want guided coding exercises while learning AI concepts.

Topics

AI foundations, Python, Prompting, LLM apps

Broad catalog for comparing university, company, and practitioner-led AI programs.

Topics

AI foundations, Machine learning, Generative AI, Business AI

Useful for more academic AI courses and professional certificate programs.

Topics

AI foundations, Machine learning, Robotics, Ethics