AI QA & Evaluation Engineering Master Program by Isha Training Solutions: a live, instructor-led course covering AI Testing fundamentals, LLM fundamentals for testers, Prompt Testing, Manual AI Testing, AI Test Case Design, RAG Testing, AI Evaluation Metrics, DeepEval, and AI Testing Framework Design. Instructor: Karthik, 9+ years of experience, 250+ students trained. Batch starts 8th September. Price ₹8,900 / 109 USD.

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AI QA & Evaluation Engineering
Master GenAI, LLM & RAG Testing

A comprehensive, industry-focused live program for QA professionals, testers, automation engineers and developers who want to build real expertise in testing Generative AI, LLMs & RAG applications — for the next generation of QA.

Live Training LLM Testing Prompt Testing RAG Testing Responsible AI DeepEval AI Evaluation Metrics AI Test Framework Design
📚 ~30 Hours Live Training 📚 9 Modules 🌐 English 🏆 Certificate Included
Instructor: Karthik · 9+ Years Experience · 250+ Students Trained
₹12,000  |  149 USD
₹10,900  |  129 USD
₹8,900
— or 109 USD —
🚀 Enroll for Free Demo 💬 WhatsApp to Enroll
THIS COURSE INCLUDES:
🎓 ~30 Hours of Instructor-Led Live Training
📹 Recorded Videos, 1 Year Access
📱 Access on Mobile & Desktop
📝 Hands-on, Real-World Curriculum
🏆 Course Completion Certificate
🤖 DeepEval-based AI Evaluation
30
Hours Live Training
9
Modules Covered
250+
Students Trained by Trainer
1 Yr
Recording Access
Live Batch · Starts 8th Sep
₹12,000 ₹10,900 ₹8,900 / $149 109 USD
~30 Hours of Live Training Recorded Videos, 1 Year Access Course Completion Certificate
Course Overview

AI QA & LLM Quality Engineering, Module by Module

Unlike traditional software testing, AI systems require new approaches to validate accuracy, relevance, context awareness, hallucinations, safety, fairness, reliability and response quality. This program takes you from AI testing fundamentals to designing practical evaluation frameworks.

01 · FOUNDATIONS

Introduction to AI Testing

What AI testing is, how it differs from traditional testing, types of AI applications, the AI testing life cycle and key challenges.

02 · LLM BASICS

LLM Fundamentals for Testers

Tokens, embeddings, context window, temperature, top-k/top-p, hallucination, prompt engineering basics, RAG overview, AI agent basics and MCP.

03 · PROMPT TESTING

Prompt Design & Testing

Positive, negative and edge-case testing, prompt regression, prompt versioning, prompt injection and jailbreak testing.

04 · MANUAL TESTING

Manual AI Testing

Functional validation (accuracy, relevance, completeness, consistency), non-functional validation, and Responsible AI testing for bias, toxicity, safety and PII.

05 · TEST DESIGN

AI Test Case Design

Writing AI test cases, test scenarios, expected output strategy, acceptance criteria, golden datasets and risk-based testing.

06 · RAG TESTING

RAG Testing

RAG architecture, retrieval validation, chunking, embeddings, context precision/recall, faithfulness, groundedness and hallucination detection.

07 · METRICS

AI Evaluation Metrics

Accuracy, precision, recall, F1 score, semantic similarity, faithfulness, groundedness, context precision/recall, toxicity and bias.

08 · DEEPEVAL

DeepEval

Installation, framework structure, writing evaluation tests, answer relevancy, faithfulness, hallucination, toxicity, bias, custom metrics and HTML reports.

09 · FRAMEWORKS

AI Testing Framework Design

Folder structure, data-driven testing, reusable utilities, reporting, CI/CD integration and a real project framework walkthrough.

What You Will Learn

Everything You Need to Build Real-World AI Testing Skills

Understand the fundamentals of AI Testing, Generative AI, and LLM-based applications
Apply AI-specific testing strategies beyond traditional software testing
Design and execute Prompt Testing — positive, negative, edge-case, regression, injection and jailbreak testing
Validate AI responses for accuracy, relevance, completeness, consistency and context awareness
Perform Responsible AI Testing for bias, toxicity, safety, fairness, privacy and PII
Design effective AI test cases, golden datasets, acceptance criteria and risk-based test scenarios
Understand and test RAG architecture, retrieval, chunking, embeddings and generated responses
Evaluate faithfulness, groundedness, context precision, context recall and hallucinations
Apply key AI evaluation metrics — accuracy, precision, recall, F1 score and semantic similarity
Use DeepEval to create automated evaluation tests and custom metrics
Generate and analyze AI testing and evaluation reports
Design a scalable and reusable AI testing framework
Implement data-driven testing, reusable utilities, reporting and CI/CD integration
Get job-ready as an AI Tester, LLM QA Engineer, AI Quality Engineer, or AI Evaluation Engineer
Who Should Attend

Built for Testers Ready to Step into AI Testing

Designed for beginners as well as experienced professionals who are new to AI testing. All levels welcome.

QA Engineers & Software Testers transitioning into AI Testing
Automation Test Engineers & SDETs expanding into LLM/GenAI testing
QA Leads & Managers responsible for AI-powered application quality
Developers working with Generative AI, LLM, RAG or AI-powered apps
AI/ML Professionals interested in testing and evaluating AI systems
Quality Engineers adopting AI-focused testing methodologies
Manual Testers upgrading their skills with AI testing techniques
Freshers & IT Professionals building a career in AI Testing
Professionals preparing for AI QA, LLM Testing and AI Evaluation Engineering roles
Salient Features

Why This Program Works

🎓

~30 Hours Live Training

Approximately 30 hours of practical, industry-focused live sessions, delivered by a trainer with 9+ years of AI/LLM testing experience.

📹

Recorded Videos, 1 Year Access

Every session is recorded — revisit any topic at your convenience for a full year after the course.

🧪

Hands-on, Real-World Curriculum

From prompt testing to RAG validation and DeepEval-based evaluation, with practical demonstrations throughout.

🛡️

Responsible AI Testing

Dedicated focus on bias, toxicity, safety, fairness, privacy and PII detection in AI systems.

🧰

Reusable Test Framework Design

Learn folder structure, data-driven testing, reusable utilities, reporting and CI/CD integration for AI test automation.

🏆

Course Completion Certificate

Certificate provided on successful completion — shareable on LinkedIn and your resume for AI testing roles.

Free Demo

Join a Free Demo Session

Experience Karthik's teaching style before enrolling — completely free, no commitment required.

🇮🇳
India
8th Sep
9:30 PM – 10:30 PM
Indian Standard Time (IST)
🇺🇸
USA
8th Sep
12:00 PM – 1:00 PM
Eastern Standard Time (EST)
🇬🇧
UK
8th Sep
5:00 PM – 6:00 PM
British Summer Time (BST)
Program Details

Format & Class Schedule

💻
FormatLive online classes — fully practical, industry-focused sessions
⏱️
Duration~30 Hours · 9 Modules · Instructor-Led
📅
Batch TypeLive Sessions — Monday to Friday
🇮🇳
India TimingMonday to Friday @ 9:30 PM – 10:30 PM (IST)
🇺🇸
USA TimingMonday to Friday @ 12:00 PM – 1:00 PM (EST)
🇬🇧
UK TimingMonday to Friday @ 5:00 PM – 6:00 PM (BST)
📹
RecordingsEvery session recorded — 1 year access provided for revision and self-paced learning
🎯
OutcomeBe job-ready for roles such as AI Tester, LLM QA Engineer, AI Quality Engineer, or AI Evaluation Engineer
Course Syllabus

9 Modules. ~30 Hours. Beginner to Master.

A structured, progressive curriculum covering AI testing fundamentals, LLM basics, prompt testing, manual AI testing, test case design, RAG testing, evaluation metrics, DeepEval and framework design. Tap a module to expand it.

Module 1

Introduction to AI Testing

  • What is AI Testing?
  • Traditional Testing vs AI Testing
  • Types of AI Applications
  • AI Testing Life Cycle
  • AI Testing Challenges
Module 2

LLM Fundamentals for Testers

  • What is an LLM?
  • Tokens
  • Embeddings
  • Context Window
  • Temperature
  • Top-K & Top-P
  • Hallucination
  • Prompt Engineering Basics
  • RAG Overview
  • AI Agent Basics
  • MCP (Model Context Protocol)
Module 3

Prompt Testing

  • Prompt Design
  • Positive Testing
  • Negative Testing
  • Edge Cases
  • Prompt Regression Testing
  • Prompt Versioning
  • Prompt Injection
  • Jailbreak Testing
Module 4

Manual AI Testing

Functional Validation
  • Accuracy
  • Relevance
  • Completeness
  • Consistency
  • Context Awareness
  • Multi-turn Conversations
  • Persona Validation
Non-Functional Validation
  • Latency
  • Reliability
  • Scalability
Responsible AI Testing
  • Bias
  • Toxicity
  • Safety
  • Fairness
  • Privacy
  • PII Detection
Module 5

AI Test Case Design

  • How to Write AI Test Cases
  • Test Scenarios
  • Expected Output Strategy
  • Acceptance Criteria
  • Golden Dataset
  • Risk-Based Testing
Module 6

RAG Testing

  • RAG Architecture
  • Retrieval Validation
  • Chunking
  • Embeddings
  • Context Precision
  • Context Recall
  • Faithfulness
  • Groundedness
  • Hallucination Detection
Module 7

AI Evaluation Metrics

  • Accuracy
  • Precision
  • Recall
  • F1 Score
  • Semantic Similarity
  • Faithfulness
  • Groundedness
  • Context Precision
  • Context Recall
  • Toxicity
  • Bias
Module 8

DeepEval

  • Installation
  • Framework Structure
  • Writing Evaluation Tests
  • Answer Relevancy
  • Faithfulness
  • Hallucination
  • Toxicity
  • Bias
  • Custom Metrics
  • HTML Reports
Module 9

AI Testing Framework Design

  • Folder Structure
  • Data-Driven Testing
  • Reusable Utilities
  • Reporting
  • CI/CD Integration
  • Real Project Framework Walkthrough
  • Framework Design Interview Questions
Your Trainer

Learn From an AI Testing Practitioner

🧑‍🏫

Karthik

AI Testing & Quality Engineering Professional
9+
Years Experience
250+
Students Trained
AI / LLM Testing Generative AI RAG Testing Prompt Testing AI Evaluation Test Automation

Karthik is an experienced AI Testing & Quality Engineering professional with 9 years of industry experience, specializing in AI/LLM Testing, Generative AI, RAG Testing, Prompt Testing, AI Evaluation and Test Automation.

With extensive hands-on experience in modern software quality practices, Karthik brings practical industry knowledge into the classroom, helping learners understand how to effectively test and evaluate LLM-powered applications, RAG systems and Generative AI solutions.

As a passionate trainer and mentor, Karthik has successfully trained and mentored 250+ students and professionals, combining real-world scenarios, hands-on exercises and industry best practices to make complex AI testing concepts easy to understand and apply.

Course Certificate

Earn Your Certificate of Completion

Every participant who successfully completes the AI QA & Evaluation Engineering training receives an official certificate from Isha Training Solutions — recognised by industry professionals.

Certificate of Completion
Sample certificate — your name will be printed upon completion
🎓

Official & Verifiable

Issued by Isha Training Solutions (ISO 9001:2015 Certified, Est. 2016) with a unique registration number — shareable and verifiable by employers.

✍️

Trainer-Signed Certificate

Signed by Karthik and the Isha Training Solutions leadership — giving it practical, industry-recognised credibility.

💼

Resume & LinkedIn Ready

Showcase your AI & LLM Testing expertise on LinkedIn and your resume. Stand out for AI Tester, LLM QA Engineer, and AI Quality Engineer roles.

📅

Awarded on Completion

Certificates are issued after attending sessions and completing the course. Finish the training, earn the credential.

📞

Questions? Reach Us Directly

Call or WhatsApp us:+91-9133190573  /  +91-8977922427

Testimonials

What Students Say

Student reviews for this batch are being collected and will be published here shortly.

💬

Review coming soon

Student testimonials for this program will be added here once the first live batch is complete.

💬

Review coming soon

Check back after the upcoming batch, or ask us for references from the trainer's earlier programs.

💬

Review coming soon

Want to be among the first reviews? Join the free demo and let us know what you think.

FAQ

Frequently Asked Questions

What is AI QA and Evaluation Engineering?
It is the discipline of validating Generative AI, LLM and RAG-based applications for accuracy, relevance, safety, bias, hallucinations and reliability, going beyond traditional software testing.
Who should learn this course?
QA engineers, software testers, automation engineers, SDETs, developers and freshers who want to build expertise in AI, LLM, RAG and Agentic AI testing.
Do I need prior AI knowledge?
No. The course starts from AI testing fundamentals and progressively moves to advanced evaluation and framework design.
Is this course suitable for beginners?
Yes, the program is designed for both beginners and experienced testers who are new to AI and LLM testing.
What tools are covered?
You will work with DeepEval, Python, prompt-testing techniques and CI/CD-oriented AI testing practices.
Will I learn RAG testing?
Yes, the course covers RAG architecture, retrieval validation, chunking, embeddings, context precision/recall, faithfulness, groundedness and hallucination detection.
Does the course cover AI agents?
Yes, AI Agent basics and MCP (Model Context Protocol) fundamentals are introduced as part of LLM fundamentals for testers.
What is the course duration?
Approximately 30 hours of live instructor-led training, plus recorded videos with 1 year of access.
Will I get a certificate?
Yes, a Course Completion Certificate is provided at the end of the program.
What job roles can I target after this course?
AI Tester, LLM QA Engineer, AI Quality Engineer and AI Evaluation Engineer roles.
Enroll & Pay

How to Join the Program

Reach out to us directly and our team will guide you through enrollment and the payment method that works best for you (UPI, bank transfer, Razorpay or PayPal for international students).

📞 Talk to Us

Call or WhatsApp us to confirm your seat, ask questions about the syllabus, and get the latest batch and payment details.

💬 WhatsApp / Enrollment Form

Prefer chat? Message us on WhatsApp and we'll share the enrollment form, current batch schedule and payment instructions (UPI, bank transfer, Razorpay, or PayPal for international students).

💬 Chat on WhatsApp
✦ Enroll Today ✦

Ready to Master AI QA & Evaluation Engineering?

Join the live batch — learn from AI testing expert Karthik and become job-ready for AI Tester, LLM QA Engineer, and AI Quality Engineer roles.

₹8,900 / 109 USD 📅 Live Batch · Starts 8th Sep ~30 Hours Live Training Session Recordings, 1 Yr Access DeepEval-based Evaluation Certificate Included