⚡ Most Comprehensive Gen AI Course for QA in 2026
Basics to Advanced

Gen AI & Agentic AI for
QA & Testing

The World Is Shipping AI. Nobody Knows How to Test It.

From QA Engineer AI Quality Engineer

📅 14 Weekends 💻 Online or Offline
View Curriculum Apply Now
Next batch starts in 14 days · Limited seats
Trusted Across India & Beyond
9+ Years
In Training
10,000+
Careers Transformed
97%
Transition Success
10 Modules
Hands-On Projects
⚡ The Hard Truth

AI Will Not Replace Senior QA Engineers.
It Will Replace the Ones Who Don't Upskill.

Your test design skills, edge case thinking, and structured documentation mindset map almost exactly onto the emerging discipline of AI Evals. The industry just hasn't connected those dots yet. This programme gives you the AI-specific framework, metrics, and tools to apply your existing expertise to LLM systems and agentic pipelines.

What You'll Learn

Master the Full AI Stack for QA.

Eight skill areas that turn your QA expertise into AI quality engineering leadership.

01
Python for AI & Testing
02
AI Concepts for QA
03
AI-Assisted Coding
04
GenAI & Prompt Engineering
05
RAG & Vector Search
06
AI Agents for QA
07
AI Evals & LLMOps
08
Automation Pipelines
Is This For You?

If You've Nodded at Any of These — This Is for You.

Built specifically for QA engineers and test leads.

1Your company is shipping AI features — chatbots, recommendation engines, AI-assisted workflows — and nobody has a clear answer for how to test them properly.
2You've spent years writing test cases for deterministic systems. You know AI breaks all the old rules. And no one is telling you what the new ones are.
3You've heard of 'AI Evals' and suspected it was just a fancy name for what you already do. You're right — this programme gives it a name, a toolset, and a career path.
4You're watching junior QA roles get automated by AI tools and you want to move up — not out.
5You want to work on problems that are genuinely new, better paid, and more interesting than regression testing the same forms for the tenth year.
The hard truth: AI will not replace senior QA engineers. It will replace the ones who don't upskill. The ones who do become the most valuable people on any AI product team.
⚡ Limited Seats · 30 Per Cohort

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Curriculum

10 Modules · 14 Weekends · QA-Specific Projects

Every module ends with a real deliverable built on a QA scenario. Not theory — something you can demo in an interview.

Python for AI/ML

Building your AI engineering foundation.
Setting up Python environment — Jupyter, VS Code, virtual environmentsTOOL
Python basics & data types — lists, dicts, functions, classesTHEORY
Data handling with Pandas & NumPy — cleaning, transforming, filtering test dataPRACTICAL
Data visualisation — Matplotlib, Seaborn for test metrics dashboardsTOOL
REST APIs with FastAPI — building endpoints for test toolingPRACTICAL
Building web apps with Streamlit — interactive QA dashboardsTOOL
🎯 Project You'll Build
Test Data Generator — Auto-generate structured edge-case datasets (boundary values, null scenarios, data type violations) from a requirements CSV. Packaged as a Streamlit tool.
Tools: Python · Pandas · FastAPI · Streamlit
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Market Reality

Zero Certified AI Quality Engineers.
This Is the Gap You Can Fill.

Every company shipping AI features right now has a testing gap. The discipline exists — the people who know how to do it are almost nonexistent.

Zero
Certified AI Quality Engineers exist in most companies right now. This is the gap you can fill.
3.5×
more likely to be promoted — QA engineers who add AI Evals expertise to their profile.
₹40L+
salary range for AI Quality Engineers — a role that barely existed three years ago.
The Core Value

AI Evals Is QA —
Translated Into the Language of LLMs.

The reason AI systems fail in production is not bad engineering. It is the absence of structured quality thinking. That is your domain. This programme gives you the AI-specific tools to apply your expertise to LLMs.

Your Existing QA Skill
What This Track Adds
Test case design — positive, negative, edge cases
Eval dataset design — functional, adversarial, and regression test sets for LLMs
Expected output verification
LLM-as-a-Judge evaluation — scoring outputs when there is no single right answer
Bug reporting and vulnerability documentation
Red teaming reports — structured documentation of LLM failure modes
Regression test suites
LLM regression evals — catching quality drops between model or prompt versions
CI/CD test integration
Eval pipelines in CI — automated quality gates before any AI feature goes to production
Performance & load testing
LLMOps monitoring — latency, cost, hallucination rate, output quality at scale
Tools You'll Master

16 Production-Grade Tools. All Hireable Skills.

The tools companies are using to build and evaluate AI systems right now.

Python
Pandas
FastAPI
Streamlit
Cursor
Claude Code
LangChain
ChromaDB
Pinecone
LlamaIndex
LangGraph
OpenAI API
Claude API
n8n
Zapier / Make
LangSmith
Same tools as the core BlueTick AI Engineering programme — because credibility comes from having actually built with them.
Career Outcomes

Roles That Barely Existed Three Years Ago.
Hiring Actively Now.

All leverage your existing QA expertise — now applied to AI systems.

Active Shortage

AI Quality Engineer

Design and run evaluation frameworks for AI products. Every company shipping LLM features needs this person — and almost nobody is qualified yet.

₹20L–₹40L+
Salary Range
Rapidly Growing

LLM Evaluation Engineer

Build and maintain evaluation systems for large language models. Embedded in AI research and product teams at the highest-paying companies.

₹25L–₹50L+
Salary Range
Senior Path

AI Test Architect

Own the entire AI quality strategy for an organisation. Design the frameworks, toolchain, and processes all other AI quality engineers follow.

₹35L–₹60L+
Salary Range
Why People Trust Bluetick

One Transformation at a Time.

10,000+
Professionals Upskilled
1:15
Mentor Ratio
97%
Career Transition
30+
Countries
Apply Now
FAQ

Questions You're Probably Thinking About.
Straight Answers.

Eligibility
How is this useful for me specifically as a QA engineer?+

Your existing skills — test case design, edge case thinking, structured documentation, regression management — map almost exactly onto the emerging discipline of AI Evals. The industry just hasn't connected those dots yet. This programme gives you the AI-specific tools to apply your instinct to LLM systems and agentic pipelines.

Can I apply this in my current QA role or do I need to fully transition?+

Apply it in your current role first. The moment your organisation ships any AI feature, you become the person who can define how it gets tested. That visibility and value is immediate. Most participants start getting assigned to AI quality work within 2–3 months of completing.

How many years of QA experience do I need?+

At least 1 year of QA experience is recommended. The programme moves quickly through fundamentals and expects you to already understand what testing means in practice. More experience means faster application of the AI tools.

I am a manual tester, not an automation engineer. Is this relevant?+

Yes. AI Evals requires structured thinking and domain expertise — skills that manual testers often have in abundance. You will also learn Python basics and Claude Code in the early modules, so the technical gap closes fast.

The Programme
What is the weekly time commitment?+

Weekends only — Saturday and Sunday, 4 hours each day. About 8 hours a week. No weekday commitments, no leave required.

Is it online or offline?+

Both. Attend in-person at our Bangalore centre, or join live online from anywhere. All sessions are recorded and available within 24 hours.

What if I miss a session?+

Sessions are recorded and accessible within 24 hours. You also get written notes, the project brief, and access to mentor office hours so you never fall behind.

Do I need prior Python knowledge?+

No. Module 1 covers Python from scratch in the context of QA and testing. If you have any Python experience, you will fly through it. If not, you will have enough to keep up by Module 2.

Placement & Career
Will I get a job after this programme?+

The demand for AI Quality Engineers is real and documented — it is an active gap in every serious AI product team right now. Every participant who completes gets 100% placement support — resume prep, portfolio review, 1:1 mock interviews, and referrals to our hiring network.

What is the salary range for an AI Quality Engineer?+

₹20L–₹60L depending on experience and company. This is significantly higher than traditional QA roles because the supply of people who can do this is extremely thin right now.

Can I stay in my current company and still benefit?+

Absolutely. The moment your company ships any AI feature, you become the person who defines how it gets tested. Internal visibility and promotion are common outcomes within months.

Fees & Payment
Are EMI options available?+

Yes. Flexible EMI plans starting from ₹0 down payment — zero-cost, meaning no added interest. Our team walks you through the options when you apply.

Will I receive a certificate?+

Yes. Bluetick AI Academy completion certificate plus a portfolio URL — real deployed projects, which carries far more weight in AI QA hiring than any certificate PDF.

Everyone is rushing to build AI.

Almost nobody knows how to test it. You do — you just need this programme to speak the language.

Next batch fills fast.

Apply Now → Secure Your Seat

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