🏫 Teachers — Free AI Courses

DataCamp course on building agents with Hugging Face's smolagents framework. Hands-on with agent tooling, memory, planning, and multi-step reasoning.

Hugging Face Agents Course bonus unit on agent observability — covers offline + online analysis, cost/latency/quality metrics, user feedback loops, and LLM-as-judge evaluation patterns.

Hugging Face Agents Course bonus unit on fine-tuning LLMs for function calling. Uses LoRA to make non-tool-native models tool-ready. Hands-on with the smolagents framework.

Anthropic Academy's advanced developer workflow course on Claude Code. Covers agent orchestration, subagents, MCP integration, hooks, and real-world engineering patterns.

Anthropic Academy course on building applications with the Claude API. Covers authentication, messages endpoint, prompt caching, tool use, extended thinking, and production best practices.

Anthropic Academy's foundational course on AI Fluency — a framework for effectively collaborating with AI. Covers mental models, prompting patterns, and when to use AI vs. when not to.

New Anthropic Academy course (2026) introducing Claude Cowork — Anthropic's browser-based collaborative AI workspace. Covers workflows, best practices, and integration patterns.

New short course from DeepLearning.AI on building voice-enabled AI agents. Covers speech-to-text, LLM orchestration for voice, text-to-speech, and latency optimization for real-time voice interfaces.

Hugging Face's flagship LLM course (formerly the NLP Course), expanded with new chapters on fine-tuning LLMs and building reasoning models. Free, code-along, certificate available.

Hugging Face's free hands-on course on building AI agents with smolagents, LlamaIndex, and LangGraph. Includes a certificate of completion and an agent-vs-agent challenge.

Hugging Face's free course on Model Context Protocol (MCP) — Anthropic's open standard for connecting AI assistants to tools and data sources. Hands-on with practical implementations.

NVIDIA DLI's free self-paced introduction to generative AI concepts, applications, and the challenges and opportunities of the field. Foundational for anyone new to GenAI.

Anthropic Academy's neutral generative-AI literacy course. Helps general audiences understand what current AI can and cannot do, with concrete examples and failure modes.

Anthropic Academy course aimed at analysts, legal, finance, and research professionals — how to use Claude effectively without writing code. Practical workflows for non-engineering roles.

Anthropic Academy course covering the subagent pattern — delegating focused tasks to specialised agents within Claude Code. Codifies what advanced users were doing informally.

Anthropic Academy's entry-level course on Claude Code — Anthropic's terminal-native AI coding agent. Designed for engineers new to coding agents; covers setup, workflows, and common patterns.

Hands-on short course on serving LLMs in production with vLLM — paged attention, continuous batching, KV cache management, and throughput optimisation.

New short course (announced March 2026) on designing memory systems for AI agents. Covers memory managers, semantic tool memory, extraction/consolidation pipelines, and self-updating memory using LangChain + Tavily.

Krish Naik's end-to-end Generative AI playlist in Hindi-English — LLMs, LangChain, RAG, fine-tuning, hands-on projects.

Cohere's free LLM University — text embeddings, classification, generation, RAG.

Pinecone's free learning center on vector search, embeddings, RAG — high-quality production guides.

Weaviate's free vector database academy — embeddings, semantic search, RAG, multi-modal.

LlamaIndex official docs and tutorials — RAG, agents, evaluation, deployment.

LangChain's official free academy — Intro to LangGraph, Intro to LangChain. Build agentic apps.

DataTalksClub's data engineering zoomcamp — foundational for AI/ML pipelines.

DataTalksClub's free 4-month ML Zoomcamp — classical ML to deployment. Project-based.

DataTalksClub's free LLM Zoomcamp — RAG, vector search, evaluation, monitoring. Cohort-based.

DataTalksClub's free 9-week MLOps Zoomcamp — experiment tracking, orchestration, deployment, monitoring.

Full Stack Deep Learning's bootcamp — what it takes to ship deep learning systems in production.

State-of-the-art papers with code implementations — best resource for staying current in AI research.

Goku Mohandas's Made With ML — design, develop, deploy production ML systems. Excellent MLOps resource.

Adrian Rosebrock's free computer vision tutorials — OpenCV, deep learning for CV, object detection.

Satya Mallick's LearnOpenCV — production-quality computer vision tutorials with code.

Simplilearn SkillUp's free GenAI fundamentals — short, certificated, beginner-friendly.

Free ML course on Great Learning Academy — supervised, unsupervised, project.

Great Learning Academy's free AI for Beginners — short modules, free certificate.

IBM Cognitive Class's ML with Python course — scikit-learn, supervised, unsupervised, deep learning intro.

IBM Cognitive Class's free deep learning fundamentals course with badge.

Brilliant.org's interactive intro to neural networks — free preview lessons, premium for full course.

Codecademy's free intro to generative AI skill path — concepts, prompting, ethics.

DataCamp's intro to LLM concepts — what they are, how they work, common use cases.

DataCamp's free 2-hour intro to using ChatGPT effectively at work.

DataCamp's free intro to Python — variables, lists, NumPy. Foundation chapter is free.

Rachel Thomas's fast.ai NLP course — sentiment analysis, language modeling, ethics, transfer learning.

fast.ai Part 2 — build deep learning libraries from scratch, ending with Stable Diffusion.

Jeremy Howard's top-down practical course — train state-of-the-art models in the first lesson, theory comes later.

Kaggle's collection of free LLM fine-tuning notebooks for classification — practical hands-on.

Stephen Welch's elegant 7-part series demystifying neural networks — math and intuition.

Long-form interviews with AI leaders — Hinton, LeCun, Sutskever, Altman, Karpathy, Musk. Deep, thoughtful.

Nicholas Renotte's project-based AI tutorials — end-to-end builds for portfolios.

Hands-on PyTorch tutorials — implementing papers (YOLO, GANs, Transformers) from scratch.

AssemblyAI's channel of practical AI engineering tutorials — speech, NLP, building with LLMs.

Hugging Face's official channel — workshops on transformers, fine-tuning, agents, multimodal.

Free short clips and full lectures from Andrew Ng's DeepLearning.AI team — companion to their courses.

University of Nottingham's Computerphile channel — short, accessible explanations of AI/ML concepts.

Umar Jamil's deep dives — building LLaMA, Mistral, BERT, attention from scratch in PyTorch.

UW Madison Prof. Sebastian Raschka's full ML + DL course with PyTorch — beautifully taught.

Daniel Bourke's free 40-hour PyTorch course with code, notebooks, and exercises. Also on freeCodeCamp.

Sentdex's classic Python ML tutorial series — algorithms, scikit-learn, projects.

Harrison Kinsley's series building a neural network from scratch in pure Python — no frameworks.

Krish Naik's complete NLP playlist — preprocessing, classical NLP, modern transformers.

Krish Naik's full deep learning playlist — perceptrons to transformers.

Krish Naik's complete ML playlist — algorithms, math, hands-on projects. India's most-watched ML tutor.

Build a RAG-powered chatbot from scratch — vector DBs, embeddings, LangChain.