🌱 Non-Tech Folks — मुक्त AI Courses

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.

freeCodeCamp's OpenCV course — image processing, object detection, face recognition.

freeCodeCamp's NLP course — text classification, sequence models, transformers, applications.

Phil Tabor's 4-hour RL course on freeCodeCamp — Q-learning, deep Q-networks, policy gradients.

freeCodeCamp's scikit-learn crash course — the essential Python ML library, hands-on.

12-hour freeCodeCamp Python for data science course — NumPy, Pandas, Matplotlib, Seaborn, scikit-learn.

Kylie Ying's 4-hour ML for absolute beginners — supervised, unsupervised, and neural networks in Python.

freeCodeCamp's 30-hour generative AI mega-course — LLMs, LangChain, fine-tuning, deployment.

freeCodeCamp's 11-hour deep learning course with TensorFlow 2 and Keras.