New Live Cohort. : Starts 10th Aug 2026

GenAI for QA - Build AI Agents. Test AI Applications

Master LLMs, MCP, RAG, CrewAI, LangChain, LangGraph, LangSmith, DeepEval & Ragas through real, production-style AI Quality Engineering projects.

You Will Learn To

  • Build real AI Agents using CrewAI , LangChain & LangGraph for requirement analysis , test generation , and code review .

  • Connect LLMs to tools & data using MCP Servers — Filesystem , Playwright , Git , Browser , and Database .

  • Build RAG applications with ChromaDB & Pinecone to query BRDs , User Stories , and API Docs .

  • Evaluate AI Systems for Hallucination , Groundedness & Bias using DeepEval , Ragas , Promptfoo & LangSmith .

  • Use AI Coding Tools — GitHub Copilot , Claude Code , Cursor & Windsurf to accelerate Test Automation .

  • Ship end-to-end and walk into interviews as an AI Quality Engineer .

Reserve Your Spot Now to Unlock

Enroll Now ₹15,000 ₹25,000

About The Course

AI is changing software engineering faster than any technology before it. Traditional testing skills alone are no longer enough — modern QA professionals are expected to understand LLMs, AI Agents, RAG, Prompt Engineering, and MCP, and to know how to validate AI-powered systems. This program is built specifically for QA Engineers, Automation Testers, SDETs, QA Leads, and Test Architects who want to move from traditional testing into AI Quality Engineering. Unlike generic AI courses, this one focuses on three things: building AI applications, testing AI systems, and using AI to improve software testing. No prior AI or Python experience required. Basics of API knowledge is helpful.  
Starts
10 Aug 2026
Mode
100% Live & Online
Schedule
Mon – Thu
Time
7:30–8:30 AM IST
Duration
3 Months
Enroll Now ₹15,000 ₹25,000
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What Will You Learn In This Course

  • Live Training
  • Q&A Sessions
  • Live Tests
  • Quizzes
  • Resume Preparation
  • Mock Interviews
  • Mobile App Access
  • Interview Questions PDF
  • Cheatsheet for Quick Revisions
  • Lifetime access to course materials (PPTs, code, recordings)
Enroll Now ₹15,000 ₹25,000

Modules Covered in This Course

Playwright Course
1
Introduction to AI for QA
AI vs ML vs GenAI, LLM fundamentals, tokens, embeddings & hallucinations — every QA should know these.
2
Python for AI Test Engineers
Just the Python you need — OOP, exception handling, JSON & API calls — for AI engineering.
3
Prompt Engineering for QA
Few-shot, chain-of-thought & role prompting applied to test case and scenario generation.
4
Working with LLM APIs
OpenAI, Gemini, Claude, Azure OpenAI & Ollama — auth, streaming, structured output & cost control.
5
AI Assisted Development & Automation
GitHub Copilot, Cursor, Claude Code & Windsurf for AI pair programming and test generation.
6
MCP (Model Context Protocol)
Architecture, tools & transport — build Filesystem, Playwright, Git & custom MCP servers.
7
LangChain
Prompt templates, chains, memory, tools & agents — build a Requirement Analysis Assistant.
8
RAG (Retrieval-Augmented Generation)
Chunking, embeddings & re-ranking with ChromaDB & Pinecone to query BRDs and test cases.
9
AI Agents with CrewAI
Multi-agent collaboration — Requirement Analyst, Test Generator, Bug Analyzer & Reviewer agents.
10
LangGraph & LangSmith
Orchestrate stateful, multi-step agent workflows and trace, debug & evaluate them like production systems.
11
Testing AI Systems
Hallucination, groundedness, bias & prompt injection — evaluated with DeepEval, Promptfoo & LangSmith.
12
Production AI Engineering
Docker, FastAPI, AI observability, prompt versioning & CI/CD with GitHub Actions.
13
Build an End-to-End AI Quality Engineering Platform
Requirement PDF → Requirement Analyzer Agent → Test Case Generator → Automation Generator → Playwright Execution → DeepEval Validation → AI Report Generator → Slack/Teams Notification.
Enroll Now ₹15,000 ₹25,000

Why Choose Us for Playwright Automation Training?

Bonus Section with Gradient Icons

Zero-Coding Friendly

No prior AI or Python experience required — start from scratch or level up from manual/automation testing.

Build, Not Just Learn

Real AI Agents, RAG apps & MCP servers — not slides, actual working systems you ship.

Testing-First Approach

Every AI concept is taught through the lens of a QA — how to validate, evaluate & break AI systems.

Job-Ready Capstone

Walk away with a working AI Quality Engineering platform for your portfolio and interviews.

Live & Interactive

Live classes, Q&A, doubt-solving and direct access to your mentor — Monday to Thursday.

Lifetime Access

PPTs, code, recordings, cheat sheets & interview prep — yours to keep, forever.

Free Bonuses Worth ₹30,000

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Meet Your Mentor

Mr. Mukesh Otwani

Founder, LearnAutomation • AI Delivery Expert

Hey, I’m Mukesh Otwani — for the past
15+ years I’ve lived and breathed
test automation, and for the last few, I’ve been living in
LLMs, AI Agents, and
AI evaluation frameworks.

I’ve helped 28,000+ testers in the last decade make the leap into
automation and AI, land better jobs, and build
real, working systems — even starting from
zero coding experience.

I’ve worked as a Test Automation Expert with
Dell and SAP Labs, and built one of the
largest test automation education communities online — with
214,000+ YouTube subscribers.

This course isn’t theory dumped from a slide deck. It’s the same
AI Agent and
AI Evaluation stack I use in my own delivery work —
taught step by step with
real projects and
direct doubt-solving sessions.

If you’re a QA who’s tired of being left behind as
AI reshapes the industry, this program is built for you.
Let’s get you to the next level as an
AI Quality Engineer.

Frequently Asked Question

Still have questions?

Can’t find the answer you’re looking for? Please chat to our friendly team!
Call / WhatsApp: +91-9729794113

[email protected]
Who can join this GenAI for QA course? +

Manual testers, automation testers, SDETs, QA leads, test architects, and developers interested in AI testing — anyone who wants to become an AI Quality Engineer.

Do I need prior AI or Python experience?

No. Basic programming and API testing knowledge helps, but no prior AI or Python experience is required — Module 2 covers exactly the Python you need.

Is this live training or a recorded course?

This is live, instructor-led training starting 10th August 2026, Monday to Thursday, 7:30–8:30 AM IST. Recordings are provided for revision.

Will I build real AI Agents, or just learn theory?

You’ll build real, working systems — MCP servers, LangChain chains, CrewAI multi-agent teams, RAG apps, and a full capstone AI Quality Engineering platform.

What tools and frameworks will be covered?

LLM APIs (OpenAI, Gemini, Claude), MCP, LangChain, LangGraph, LangSmith, CrewAI, RAG with ChromaDB/Pinecone, and evaluation with DeepEval & Ragas.

Will I get help with job preparation?
Yes — resume review, LinkedIn optimization, AI QA interview preparation, and guidance on freelancing and consulting with AI.

Still have questions?

Can’t find the answer you’re looking for?Please chat to our friendly team!

[email protected]
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