The Testing Academy

Wall of love for the
AI Tester Blueprint

Join the next batch Unedited messages from the live batches. Went through it? Submit your testimonial
1 year → hiredjobless for almost a year with 18+ years of experience, then an offer (Tarun)
Live at workdefect-insights agent with JQL chat, used by leadership (Vaibhav)
BFSIfraud transaction detection built on RAG at a bank (Priya)
300test cases automated, promotion initiated (Rahul)
50-60%deployment-day time saved by an n8n workflow (Niraj)
+70LinkedIn followers in weeks after the personal-brand module (Poornima)

They became AI-powered testers in 90 days

Screenshots straight from the live class chat, the batch group and student letters. Zoom in; the details are the point.

TB
Tarun Babbar NewOffer in hand after almost a year without a job
★★★★★

"After being jobless for almost a year (despite 18+ years of experience), I finally got an offer and joined this week! A big part of this happened because of everything you taught: prompting, skills, framework creation, MCP, RAG, Langflow, n8n... it really helped me stand out and speak confidently in interviews."

Live class chat message from Tarun Babbar: after being jobless for almost a year despite 18 plus years of experience, he got an offer and joined this week; prompting, skills, framework creation, MCP, RAG, Langflow and n8n helped him stand out and speak confidently in interviews.
Live class chat
VV
Vaibhav Vaidya NewDefect-insights agent, now used by leadership
★★★★★

"Recently I developed a defect insights agent from the ideas on app.thetestingacademy and everyone loves it. Leadership is using it: it clusters the defects, and a chat agent lets anyone get data along with JQL so people can verify. It is live, and I published it as a Claude artifact so no setup is required."

Live class chat message from Vaibhav Vaidya: built a defect insights agent that clusters defects and answers questions with JQL, leadership is using it, it is live and published as a Claude artifact with no setup required.
Live class chat
PV
Priya V NewRAG fraud detection in a BFSI company
★★★★★

"Sir, using RAG in our company, in the BFSI domain we have implemented a fraud transaction detection system."

Live class chat message from Priya V: using RAG, her BFSI company implemented a fraud transaction detection system.
Live class chat
RJ
Rahul Jamadar NewQA Orchestrator: plan, cases, automation
★★★★★

"I have also set up a QA Orchestrator for test plan, test cases and test automation, still going further for GitHub and Jenkins."

Live class chat message from Rahul Jamadar: set up a QA Orchestrator for test plan, test cases and test automation, extending it to GitHub and Jenkins next.
Live class chat
SS
Sridevi S NewClaude Certified Associate, Foundations
★★★★★

"Completed Claude Certified Associate - Foundations. The Claude masterclass was really helpful. Thank you sir."

Live class chat message from Sridevi S: completed the Claude Certified Associate Foundations certification, the Claude masterclass was really helpful.
Live class chat
SS
Sajeena Salim NewGave a prompt-engineering tech talk at work
★★★★★

"I have given a prompt engineering tech talk with the RICE-POT framework. I got appreciated for that. Thank you sir."

Live class chat message from Sajeena Salim: gave a prompt engineering tech talk using the RICE-POT framework and was appreciated for it.
Live class chat
PR
Palkit Rathod NewFrom "what is an SDET" to building frameworks
★★★★★

"The way you explain things makes me feel like I am actually becoming an SDET. I never thought I would be able to code like this. Earlier in my career I did not even know what an SDET was or what a custom framework meant. Now I am learning and building things I never thought I could."

Live class chat message from Palkit Rathod: the way concepts are explained makes him feel he is becoming an SDET; he did not know what an SDET or a custom framework was earlier and is now building things he never thought he could.
Live class chat
PH
Poornima Hebbar and Kavita Batra NewLinkedIn growth after the personal-brand module
★★★★★

"Followers have increased by 70." (Poornima) and "People are asking me to connect." (Kavita), days after the Resume Fix + LinkedIn module.

Live class chat messages: Poornima Hebbar says followers increased by 70, Kavita Batra says people are asking her to connect.
Live class chat
PC
Pankaj Chute NewReal-world examples from an active mentor
★★★★★

"I really loved the way you teach using real-world examples that we actually face in our day-to-day office work. Learning from an active industry mentor who uses these skills daily, rather than just explaining theory, makes a huge difference."

Live class chat message from Pankaj Chute: loved learning through real-world examples faced in day-to-day office work, from an active industry mentor who uses these skills daily rather than explaining theory.
Live class chat
SA
Shivani Anand NewConfident enough to restart her QA journey
★★★★★

"Hats off to the way you teach and the pain you take to explain. I really feel confident that I can restart my QA journey."

Live class chat message from Shivani Anand: hats off to the way you teach and the effort you take to explain, she feels confident she can restart her QA journey.
Live class chat
RK
Rajesh Kumar NewOn the teaching itself
★★★★★

"You instruct us with the patience of a master, never showing boredom, and carefully explaining each detail step by step."

Live class chat message from Rajesh Kumar: you instruct us with the patience of a master, never showing boredom, carefully explaining each detail step by step.
Live class chat
SS
The batch's last morning NewSatywan, Evelyn, Krips, Sanjeet and the 7 AM crew
★★★★★

"I really appreciate the way you explained each concept with practical examples... thank you for being such a great mentor" (Satywan Singh). "Recommended to many friends, and my sister also joined Playwright 3x" (Evelyn Stephen). "Will surely miss these morning batches" (Krips).

Live class chat on the last morning of the batch: Krips, Evelyn Stephen, Sanjeet Kumar, Satywan Singh and Ishita Shrivastava thank the instructor; Evelyn recommended the course to friends and her sister joined Playwright 3x; Satywan appreciates the practical examples and mentorship.
Live class chat
RJ
Rahul Jamadar NewHis theory about the instructor
★★★★★

"Sir, you are also one of the AI Agents, because you know all the things and you share all the details with us so we can also become one Agent, like you."

Live class chat message from Rahul Jamadar: you are also one of the AI agents, you know all the things and share all the details so we can become one too.
Live class chat
JK
Jamba Karthik KumarAI Tester Blueprint student
★★★★★

"RAG, MCP, LLM Eval explained step by step... this course did not just teach me AI, it changed the way I approach problem-solving."

Student letter from Jamba Karthik Kumar: joining this AI Tester Blueprint course has been a transformative experience; complex concepts like RAG, MCP and LLM Eval explained step by step; hands-on practice gave the confidence to integrate AI into projects; it changed the way I approach problem-solving.
Feedback form
FQ
Farhan QuidwaiDeployed an ADO QA buddy at work
★★★★★

Built and deployed an Azure DevOps QA buddy: bulk cloning, work-item exports, CR to acceptance criteria and test cases, sprint quality scores, an AI chatbot on top.

Batch chat message from Farhan Quidwai describing the ADO QA buddy he created and deployed: clones bulk bugs and user stories, exports work items to excel and docx, creates a CR with generated acceptance criteria and test cases, compares sprint quality, includes an AI chatbot.
Batch chat
NM
Niraj Mehtan8n workflow in production Slack
★★★★★

"Everyone along with manager felt amazed... they were looking for that solution since last 2 years... saved 50-60% of time on deployment days."

Batch chat message from Niraj Mehta: built an advanced n8n workflow in the company instance; Slack-based, posts automation results to the production deployment channel and tags the QE supporter on failure; ran successfully and saved 50 to 60 percent of deployment-day time; the team had wanted this for 2 years.
Batch chat
RJ
Rahul Jaiswal300 tests automated, promotion initiated
★★★★★

"Helped me automate 300 test cases in my project... I got an email and told impressive work. They have initiated my promotion."

Batch chat message from Rahul Jaiswal: the Playwright and AI classes helped automate 300 test cases in his project; he received an email praising the work and his promotion has been initiated.
Batch chat
OG
Om GuttyRAG + flaky analyzer, client demo
★★★★★

"Implemented the same RAG with Mistral, created a flaky analyzer integrated with the Playwright framework, and next Friday I am giving a demo to the client."

Batch chat message from Om Gutty: implemented the same RAG with Mistral, created a flaky analyzer integrated with the Playwright framework, giving a client demo next Friday.
Batch chat
AS
Aniruddha SinhaAI agent in the next release
★★★★★

"Able to build an AI agent which can create test cases and create Playwright with a native framework... used for day-to-day tasks and released from the next release."

Batch chat message from Aniruddha Sinha: built an AI agent that creates test cases and Playwright code in the team's native framework, to be used day to day and shipped from the next release.
Batch chat
ND
N Divyan8n agents for mobile testing
★★★★★

Demoed n8n agents adapted from the class build to mobile test cases. Her team's response: turn it into a Claude plug-in.

Batch chat message from N Divya: gave a demo of n8n agents similar to the class build but adapted from Playwright to mobile test cases, and was asked to convert it into a Claude plug-in.
Batch chat
RD
Rohan DeoRolling the concepts into his org
★★★★★

"Because of you I come to know lot of new concepts in industry, and I am implementing in my organization... it means a lot."

Batch chat message from Rohan Deo: because of the course he learned many new industry concepts and is implementing them in his organization; thank you so much sir, it means a lot.
Batch chat
AD
Anusha DevarayaAutomation AI course, applying it at work
★★★★★

"The Automation AI course was very helpful in understanding new technologies and AI features. I gained valuable knowledge about AI-driven automation and several new concepts that I have already started applying in my daily work and tasks."

Wall of love
CR
Chirag RathavaUpskilling in modern QA
★★★★★

"The courses have been a game-changer for me. The best thing is the hands-on approach: real examples and practical scenarios, beginner-friendly yet packed with advanced insights that add real value to your career."

Wall of love
DM
Deepavaishali MCareer comeback after a break
★★★★★

"I have 5 years of experience and took a career break. The course is really 200 percent worth it. I learnt so much and gained confidence, and every doubt was clarified. Nobody explains like this."

Wall of love
PM
Papiya MukherjeeNon-tech background to core IT
★★★★★

"My best companion for restarting my career and taking a huge leap into core IT from a non-technical background. Crystal-clear concepts, real examples, and priceless guidance from Sir and the whole team."

Wall of love
AG
Amit GuptaSwitched to QA (Canada)
★★★★★

"I switched my career to IT and focused on QA. I learned a lot, especially practical knowledge, and the teaching was amazing: simple and easy to understand. I will recommend this to my friends."

Wall of love
BA
Bhawna AroraNow leading AI at work
★★★★★

"Last week I showed my AI work to the leadership team and built an AI business solution with vibe coding on the spot. Now leadership is ready to take me in as AI Analytics Lead for AI business solutions in Audit and Finance."

Batch chat
YK
Yashodhar KarkiCleared his PhonePe interview
★★★★★

"Sir, wanted to tell you something: my PhonePe interview is cleared. Thank you sir."

Batch chat
I want results like these → Next live batch starts October 18, 2026 (Sat + Sun, 11:00 AM IST). Code AITESTER: Rs 9,999 instead of Rs 35,000.

What they built: projects that left the classroom

Every build below started as a class project and was adapted to the student's real job. This is the kind of work the batch produces.

Agent + Jira

Defect-insights agent with JQL chat

Clusters defects, lets anyone query live data with JQL, shipped as a Claude artifact with zero setup. Leadership uses it.

Vaibhav Vaidya
Orchestration

QA Orchestrator

Test plan, test cases and test automation generated in one pipeline, now being extended to GitHub and Jenkins.

Rahul Jamadar
RAG

Fraud transaction detection

A RAG system built for a BFSI company to flag fraudulent transactions, grown from the class RAG pipeline.

Priya V
n8n

Deployment-day Slack workflow

Posts automation results to the production channel and tags the on-call QE on failure. Saved 50-60% of deployment-day time.

Niraj Mehta
Azure DevOps

ADO QA buddy

Bulk cloning, work-item exports, CR to acceptance criteria and test cases, sprint quality scores, chatbot on top. Deployed at work.

Farhan Quidwai
Playwright + RAG

Flaky-test analyzer

RAG with Mistral plus a flaky analyzer integrated into the Playwright framework, demoed to the client.

Om Gutty
Agent

Test-case-to-Playwright agent

Creates test cases and Playwright code in the team's native framework; shipped from the next release.

Aniruddha Sinha
n8n + mobile

n8n agents for mobile test cases

The class n8n build adapted from Playwright to mobile; the team asked for it as a Claude plug-in.

N Divya
Vibe coding

AI business solution for Audit and Finance

Built live in front of leadership; led to an AI Analytics Lead role.

Bhawna Arora

The 90-day path they followed

None of these students started as AI engineers. The batch walks the same three moves, in order:

  1. Weeks 1-4: foundations that stick. How LLMs actually work, prompt engineering for QA, and the tool setup. This is where "RAG, MCP, LLM Eval explained step by step" (Karthik's words) happens.
  2. Weeks 5-8: build agents and workflows. CrewAI multi-agent systems, n8n automation, LangFlow, DeepEval and PromptFoo for LLM testing. Niraj's deployment workflow and Divya's mobile agents came straight out of these modules.
  3. Weeks 9-12: ship it at work. The 7+ portfolio projects (AI test plan generator, API automation agent, visual bug analyzer, AI-enhanced Selenium and Playwright frameworks) get adapted to each student's real job. That is when the "my manager was amazed" messages start.

AI Tester Blueprint

The most advanced AI testing program for QA engineers, live with Pramod Dutta.

12+ weeks75+ learning hours, live
Sat + Sun11:00 AM to 12:45 PM IST
October 18, 2026next batch starts
27 projectsacross 6 phases, job-adapted
6000+students trained, 4.8/5 rated
Rs 9,999with code AITESTER (list Rs 35,000)

What is inside (the same stack the students above used):

Bonuses: portfolio website, AI-augmented interview prep, SDET Club access, n8n course, job assistance via QaJobBoard, and a one-time free batch repeat.

Enroll in AI Tester Blueprint → Full curriculum and pricing on the course page. Batch checkout with the code: bit.ly/aitester2026

The full roadmap, phase by phase

Everything the batch learns, in the order it is taught, with the project you build at each step. The map is public; the live batch is where you make the journey.

1Local AI and prompting
  • LLM basics for QA and SDET, local models
  • Local Test Case Generator
  • Selenium to Playwright converter
  • RICE-POT prompt framework and prompt templates
2Apps, agents and automation
  • Job Board Assistant and AI Resume Fix for LinkedIn
  • TestPlan AI Agent with Jira integration
  • n8n AI workflow automation and a content agent
  • BugSnap: bug-report enhancer
3LangFlow and retrieval systems
  • LangFlow fundamentals
  • RAG basics and RAG with LangFlow
  • RAG vibe-coding app
  • Vector embeddings visualizer
4MCP, CrewAI and custom agents
  • MCP basics and Python for AI testers
  • CrewAI multi-agent systems
  • MCP server creation from scratch
5LLM evaluation with DeepEval
  • LLM evaluation basics: scores instead of assertEquals
  • DeepEval basics in pytest
  • DeepEval framework creation: 25 metrics, 289 cases
6Agentic QA with LangChain and LangGraph
  • LangChain for testers
  • LangChain + Playwright: full agentic QA project
  • LangGraph: Jira to execution to results
  • Full autonomous QA agent (capstone)

The interactive journey above walks the first 22 projects; chapters 20 to 26 (LLM evaluation, DeepEval, LangChain, LangGraph and the autonomous QA agent) are on the projects page. Open it full screen.

Links, details and how to enroll

Join the October 18 batch → Code AITESTER at checkout. Seats are limited to keep the doubt sessions live.

Want to try the material first? The free agent-skill guides and the LLM vs AI Agent explainer come from the same teaching.