Tutorials
100 Days of ML
100 Days of DL
100 Days of NLP
MCP Trilogy
FastAPI for ML
PyTorch Deep Learning
LangChain & GenAI
LangGraph Agents
Code Lab (LeetCode AI)
Syllabus Path
Explore
Free AI Course for Beginners — 8 tracks covering Machine Learning, Deep Learning, LangChain, LangGraph, RAG, MCP & Multi-Agent AI in Hindi & English
Free Generative AI tutorial — 8 structured tracks covering LangChain, LangGraph, ML, Deep Learning, NLP, PyTorch, FastAPI, and MCP. Pick any track, start today.
From Python basics to production ML — EDA, feature engineering, supervised & unsupervised algorithms, model evaluation, and deployment.
Perceptrons to Transformers — MLPs, backpropagation, CNNs, RNNs, LSTMs, attention, and the full Transformer architecture from scratch.
NLP pipeline to production — tokenization, TF-IDF, Word2Vec, text classification, HMMs, POS tagging, and a real duplicate-detection case study.
Build real LLM-powered applications — chains, RAG pipelines, memory, tools, and end-to-end GenAI apps with the LangChain ecosystem.
Stateful, multi-step AI agents — build graph-based agent workflows, human-in-the-loop systems, and production-grade agentic pipelines.
Model Context Protocol — connect AI agents to tools, APIs, and data sources. Build MCP servers and clients for production agent systems.
PyTorch from tensors to custom training loops — autograd, datasets, dataloaders, custom models, and GPU-accelerated training.
Serve ML models as production REST APIs — request validation, async endpoints, background tasks, Docker, and deployment patterns.
Test your AI and Machine Learning coding skills. Code activation functions, linear algebra, losses, and scalers in Python WebAssembly.
Generative AI refers to AI models that can create text, images, code, and more. Learning it gives you the skills to build AI-powered products, automate workflows, and access the fastest-growing job category in tech. Our free Generative AI tutorial covers LangChain, LangGraph, RAG, and agentic AI from scratch.
Yes — 100% free, forever. All 8 tutorial tracks on GenAIWallah are openly accessible. No paywall, no signup required. We believe in free-first AI education for India.
Start with 100 Days of Machine Learning — it begins from Python basics and builds up to deployment. Once done, move to 100 Days of Deep Learning, then the LangChain Generative AI tutorial to dive into GenAI.
Yes. GenAIWallah tutorials are in Hindi + English (Hinglish format). We're building India's best free Generative AI tutorial resource so learners from every college and city can access quality AI education in their language.
LangChain is a framework for building LLM-powered chains and RAG applications. LangGraph extends LangChain with stateful, graph-based agentic workflows — useful when you need complex multi-step AI agents with memory and human-in-the-loop control. Both are covered in our free Generative AI tutorial.
RAG (Retrieval-Augmented Generation) is a technique where an LLM retrieves relevant documents from a vector database before generating a response, making answers more accurate. Our free LangChain tutorial and LangGraph tutorial both cover RAG with full code examples.
Multi-agent AI uses multiple AI agents with specific roles collaborating on complex tasks. LangGraph is the top framework for it. Our free LangGraph multi-agent tutorial covers design patterns, stateful graphs, and production deployment in Hindi and English.
MCP is Anthropic's open standard letting AI models connect to external tools and data. Our free MCP tutorial covers Claude MCP setup, tool bindings, and remote SSE proxies — the most complete MCP course available free in India.
Yes. Our Machine Learning course starts from Python basics — zero prior coding needed. All content is in Hindi + English (Hinglish) so anyone from any background can learn AI. GenAIWallah is built specifically for Tier 2/3 college students and career switchers across India.