GenAI training for your QA engineers, run in Bangalore
Hi Bhavana, I'm Shivam Kumar, founder of Techavtar. You're looking for GenAI / AI Engineering trainers for 50+ QA and test automation engineers, offline and batch-wise. Here's how I'd run it, in one minute.
Sound on for the voiceover. Captions are built in.
Your brief, covered
Every topic in your post maps to a module, and every module ends in a hands-on lab.
| Your requirement | Where it's covered | |
|---|---|---|
| Python and AI/ML fundamentals | Module 1 | ✓ Covered |
| Generative AI and LLMs | Module 2 | ✓ Covered |
| Prompt engineering and RAG | Modules 2 and 3 | ✓ Covered |
| LangChain and LangGraph | Module 4 | ✓ Covered |
| Agentic AI and Model Context Protocol (MCP) | Module 5 | ✓ Covered |
| AI application development and deployment | Module 6 | ✓ Covered |
| Real-world projects and hands-on mentoring | A lab in every module, a capstone per batch, mentoring between sessions | ✓ Covered |
| Offline, classroom, Bangalore | Our office is in Bengaluru, so trainers are local | ✓ Covered |
How I'd run it
QA engineers learn GenAI fastest when every lab is a testing problem they already have. So no toy chatbots: each lab uses test cases, CI runs, bug reports and test docs.
Python and AI/ML fundamentals
Python for test engineers, working with data, and the ML basics needed to read model behaviour.
LLMs and prompt engineering
How LLMs work, context and tokens, structured output, and checking answers instead of trusting them.
Retrieval-Augmented Generation (RAG)
Embeddings, chunking, vector search, and measuring whether retrieval actually found the right thing.
LangChain and LangGraph
Chains, tools, state graphs and human approval steps, so workflows stay controllable.
Agentic AI and MCP
Tool calling, agents, and the Model Context Protocol: writing an MCP server and connecting tools to it.
Build and deploy
Turning a notebook into a service: APIs, containers, cost and speed, guardrails, and running it in CI.
Capstone, every batch
Teams build an AI QA agent that writes, runs and triages tests on a real app, then demo it on the last day. Each participant leaves with working code they can take back to their own project.
How each batch runs
A starting point. We'll fit the schedule to your client's calendar.
Classroom in Bangalore
Trainer on site, laptops on, labs from day one.
For 50+ people
Smaller batches so every lab gets reviewed. Batch size and count agreed with you.
Labs first
Short concept, then build. Lab setup checked before day one so no time is lost.
Between sessions
Doubt-clearing and code reviews, so people keep moving between classes.
Why Techavtar
This isn't theory for us. We build production AI, and the people who build it are the people who teach it.
Engineers in-house
No outsourcing. 5+ years in business.
Office in the city
Plus Delhi. Classroom delivery in Bangalore is local for us.
Voice agents and more
We build AI voice agents on custom speech-to-text, text-to-speech and language models.
Can we take a 20-minute call this week?
I'll walk you through the plan, share trainer profiles and dates, and adjust it to your client's needs. Happy to run a short demo session too.