Free GenAI Course: Build a Real AI Agent from Scratch

LogicWiz's GenAI course is a free, hands-on generative AI course that teaches you to build a working AI agent in Python, not to watch someone else build one. All 38 lessons are free with no signup and no payment. Every lesson pairs written material with an in-browser lab and an AI tutor.

The Rise of Your AI Agent Empire — Build Nova — your own intelligent AI assistant — from first line of code to full agentic system.

What You'll Build in This Free GenAI Course

One project runs the length of the course. You build Nova, an AI assistant, in 38 lessons across 9 modules, and each module leaves you with something that runs:

  1. A first Python script, written from scratch, with no prior Python assumed.
  2. A prompted assistant that calls a real language model, once you know what a token and a context window cost you.
  3. An agent loop: Nova receives a goal, picks an action, runs a tool, reads the result and decides again.
  4. Retrieval over a private archive, built the long way, through embeddings, chunking, indexing and retrieval (RAG).
  5. A team of agents orchestrated with LangGraph, rather than one model doing everything.
  6. A voice interface, speech in and speech out, deployed behind an API.

Who This GenAI Course Is For

Complete beginners are the default reader: the course opens with Python from scratch (variables, data structures, conditionals, loops and functions) before it touches a language model, so no prior Python is assumed. It also suits self-taught engineers, students and working developers who can already code but have only used generative AI through a chat box and want to understand the agent loop, retrieval and orchestration underneath it.

Free GenAI Tutorials

What "hands-on" actually means in a free Generative AI course — a checklist for telling a genuinely hands-on AI course from one wearing the label.

Free GenAI Course Syllabus (38 Lessons, 9 Modules)

Every lesson below is linked and readable right now. Nothing here is behind a payment or an account.

Awakening the Machine

Learn Python — the language of AI — and take your first steps toward building Nova

Building the Brain's Toolkit

Give Nova organized memory and the ability to make decisions

Leveling Up Your Powers

Build reusable abilities, unlock Python's ecosystem, and master data analysis

The Agent Awakens

Meet the machines behind Nova — from generative AI and LLMs to prompts, tools, memory, and the reflex-to-utility family of agents

Nova Reads the Archives

Retrieval-Augmented Generation — give Nova a searchable memory of LogicWizNews's private archive so she answers from real facts instead of guessing. Embeddings, semantic search, chunking, indexing, and retrieval.

Nova Goes to Production

Turn Nova's RAG prototype into a real product — orchestrate the whole pipeline with LangChain, hold a multi-turn conversation, measure answer quality, and let Nova reason with tools (agentic RAG).

Nova Builds a Team

Multi-agent systems: when one agent is not enough, the patterns that coordinate many (routing, orchestrator-worker, parallelization, sub-agents), and building it for real with LangGraph.

Nova Finds Her Voice

Conversational & multimodal AI: how models generate one token at a time, why tokens cost what they do, seeing and hearing (vision, music, audio), voice agents, natural conversation, and a voice-enabled multi-agent shopping assistant.

Nova Joins the Network

Give Nova reach beyond her frozen memory. Wire her to live tools, then tame the N×M wiring explosion with MCP — the Model Context Protocol: client/server, the list_tools/call_tool handshake, transports, gateways, and semantic tool-routing. Then go one level up to A2A, where agents discover and delegate tasks to each other, and learn to choose the right protocol for any job.

Frequently Asked Questions About This Free GenAI Course

Is the LogicWiz GenAI course free?

Yes. All 38 lessons and their hands-on labs are free, with no signup and no payment. You can open lesson one and start building immediately.

How much does the full GenAI course cost?

Nothing. Every one of the 38 lessons is free, and there is no upgrade needed to read or run any of them. LogicWiz separately offers a Placement Pro membership at ₹999 per month for career support alongside the course, but it buys no additional lessons.

Do I need to know Python before starting?

No. The course opens with Python from scratch (variables, data structures, conditionals, loops and functions) before it touches language models, so a complete beginner can follow it end to end.

What do you actually build in this GenAI course?

You build Nova, an AI assistant, across the whole course: starting as a first Python script, gaining prompting and an agent loop, then retrieval over a private archive, then multi-agent orchestration with LangGraph, and finally a voice interface deployed as an API.

What topics does the GenAI course cover?

38 lessons across 9 modules: Python foundations, LLMs and prompt engineering, the agent loop and agent families, tool use, retrieval-augmented generation (embeddings, chunking, indexing, retrieval), LangGraph orchestration and multi-agent systems, transformer internals including tokenization and attention, and speech-to-text and text-to-speech pipelines.

What is the difference between an AI agent and a chatbot?

A chatbot completes one turn. You send text, it returns text, and control returns to your program. An agent runs a loop: it receives a goal, decides on an action, executes a tool, observes the result and decides again until the goal is met. The model, not your code, chooses the next step.

Are there hands-on exercises, or just reading?

Every lesson pairs written material with an in-browser lab containing practical exercises, plus an AI tutor you can ask questions mid-lesson.