Live, instructor-led
Join live, watch the trainer build on screen and follow along. Ask your question the moment you have it.
Live online classes with working AI practitioners. Start from Python basics, then build RAG apps, AI agents and multi-agent systems with LangChain, LangGraph and CrewAI. No coding background needed.
Get the fee structure, class timings and syllabus for our online course.
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Not a video library. A real class with practitioners who build this work, and a lab at the end of every module.
Join live, watch the trainer build on screen and follow along. Ask your question the moment you have it.
Every module ends with a lab you build yourself, so you finish with working projects, not notes.
Capstone work happens with guided build days, a security review and feedback from an instructor panel.
The first modules teach Python from scratch, live, before any AI is introduced.
Start from Python basics and build a portfolio of AI projects before your first job.
Add RAG, fine-tuning and agent skills to what you already know and move into AI engineering.
From non-IT? The first modules teach Python from scratch, live, step by step.
Understand how agents plan, use tools and get work done, and build your own.
Live online Gen AI & Agentic AI course: 3–4 months, hands-on labs & a real capstone project, a Knoa Labs certificate and placement support.
Next live batch:November 2026
Three parts, each building on the last. Every module ends with a hands-on lab.
Every module ends with a lab you build yourself. Here are a few of them, plus the team capstone you present to a Knoa Labs instructor panel.
A conversational API wrapper with streaming replies, conversation memory and cost tracking across LLM providers.
Ingest PDFs, embed them in a vector database and answer with cited sources. Then upgrade it with hybrid search and re-ranking.
Fine-tune a small open-source LLM with QLoRA on a domain dataset and measure it against the base model.
An agent that researches online, runs Python code and writes a finished report, with guards against loops and tool errors.
A team of agents that searches, summarises, fact-checks and writes, built in both LangGraph and CrewAI.
Pick a finance, healthcare, retail, legal or open track. Design, build and evaluate a RAG or agent system, then present it to a Knoa Labs instructor panel.
The model providers and agent frameworks teams use today. You build with each of them in a lab.

Working AI practitioners
The course is taught live by working AI practitioners. Free masterclasses are led by an Agentic AI Architect with 10 years of experience building AI systems.
Skills and proof of work you can show an employer.
Chatbot API, RAG app, a fine-tuned model, agents and a multi-agent crew.
A team project presented to a Knoa Labs instructor panel.
OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen and MCP.
Resume, LinkedIn and interview preparation built around AI engineering roles.
Knoalabs provides placement support (resume, interview preparation, internship and placement support), not a job guarantee. Outcomes depend on your effort, skills and the job market.
Still have a question? Our advisors reply on WhatsApp in 30 minutes (9am–8pm).
WhatsApp UsNo. Part 1 teaches Python from scratch, live, before any AI is introduced. You need basic computer skills, a laptop with 8 GB RAM or more and curiosity.
You receive a Knoa Labs certificate on successful completion of the course, including your lab work and capstone project.
The full fee structure and EMI options are sent on WhatsApp as soon as you share your details. Our advisors reply on WhatsApp in 30 minutes (9am–8pm).
The course runs 3–4 months with live classes of up to 3 hours each. The next batch starts in November 2026; the exact class timings are shared on WhatsApp with the fee structure.
Generative AI creates text, images or code from a prompt. Agentic AI goes further: a system plans steps, uses tools and acts toward a goal with little hand-holding. Companies are hiring for people who can build and evaluate these systems, which is why the course covers both.
No. We provide placement support: resume and LinkedIn guidance, interview preparation, and internship and placement support, plus a portfolio of real projects. We do not promise a job.
Join the November live batch: 3–4 months, hands-on labs & a real capstone project, a Knoa Labs certificate and placement support. Get the fee structure and timings on WhatsApp.
Get the fee structure, class timings and syllabus for our online course.