Generative AI Testing Course for QA Professionals in India
AI & QA Fundamentals - Statistics & Probability - ML - AI System Testing - AI-Assisted Automation - No-Code Automation - Generative AI - NLP & LLM Testing
Master AI-driven testing with hands-on training in AI & QA fundamentals, machine learning, AI system testing, LLM testing, and AI-assisted automation at Quality Thought. Build practical QA skills through structured learning, guided projects, and career-focused training while exploring opportunities such as AI QA engineer jobs USA and other emerging AI testing roles.
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Batch Details & Schedule
Choose a learning format and schedule that fits your lifestyle while building practical expertise in modern AI testing and preparing for opportunities in AI testing for manual testers and other QA-focused roles.
Your Path to Mastery
Develop practical capabilities across AI testing, LLM evaluation, automation, and project-based learning while building the foundation needed for an LLM test automation course.
Exclusive Training
- Training by Industry practitioners
- Capstone projects
- LMS access for 6 months
- Course completion certificate from Quality Thought
- Daily doubt clarification sessions
- Resume building session
- Linkedin & Github guidance
- Interview questions preparation
- 1 mock interview
- Placement referral support
- Course Fee: ₹30,000
Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program or explore our other courses based on your background, goals, and availability
Prerequisites & Eligibility
A foundational understanding of software testing concepts is beneficial. Commitment to complete hands-on AI/ML testing projects and industry-relevant documentation is expected. The program is also suitable for QA professionals considering automation tester to AI testing skills as their next area of professional development.
- Course Prerequisites
- A foundational understanding of software testing concepts is beneficial
- Commitment to complete hands-on AI/ML testing projects and ISTQB-style assignments
- Dedication to engaging with AI testing documentation & practice tests
- Willingness to learn AI/ML terminology, testing strategies, and tool-based automation
Complete Course Curriculum
Comprehensive modules covering AI testing, LLM evaluation, security, RAG, AI agents, automation, and practical Gen AI testing workflows. The curriculum provides a structured foundation for learners comparing options such as the best AI testing course 2026 and looking for practical rather than purely theoretical training.
Foundations of AI Testing
● Difference between traditional software and AI systems
● AI application architecture: Model → Prompt → App → UI
● Probabilistic outputs vs deterministic validation
● AI defect categories overview
● AI testing lifecycle and evaluation approach
LLM Fundamentals
● Tokens, context window, and cost
● Temperature and randomness control
● Prompt engineering basics
● RAG vs Fine-tuning
● LLM inference pipeline
AI Defects
● Hallucination detection
● Prompt injection attacks
● Bias and fairness
● Inconsistent behavior
● AI bug reporting
AI Test Design
● AI test case format
● Evaluation criteria design
● Statistical testing
● Boundary and edge cases
● Test library creation
Hallucination Testing
● Oracle design
● Golden datasets
● Open vs closed domain testing
● Rate measurement
● Reporting
Security Testing
● OWASP LLM Top 10
● Injection testing
● Jailbreaking
● RAG poisoning
● Security reporting
Bias Testing
● Bias taxonomy
● Counterfactual testing
● Statistical validation
● Consistency testing
● Compliance
RAG Testing
● RAG architecture testing
● Context validation
● RAGAS metrics
● Negative testing
● Source attribution
AI Agents Testing
● Agent architecture
● Tool testing
● Memory testing
● Multi-agent validation
● Trace debugging
Red Teaming
● Threat modeling
● Jailbreak testing
● Adversarial testing
● Toxicity testing
● Report writing
Python & API Testing
● Python basics
● API testing
● Async testing
● Environment management
● Error handling
Pytest
● Test structure
● Fixtures
● Mocking
● Reporting
● Test pyramid
DeepEval
● Evaluation metrics
● Custom metrics
● Dataset creation
● Integration
● CI gating
RAGAS
● Pipeline setup
● Metrics
● Dataset creation
● Regression testing
● CI integration
Prompt Testing
● Versioning
● Regression testing
● A/B testing
● Adversarial testing
● Optimization
Agent Automation
● Framework setup
● Unit testing
● State testing
● Trace assertions
● Regression testing
Industry-Focused Program
Hands-On Project Training through a gen ai Testing bootcamp course approach.
Why Choose Quality Thought
The program can also complement a gen ai Testing internship course by giving learners structured exposure to practical testing workflows, projects, and industry-oriented assignments.
17+
Years Experience
10,000+
Students Trained
500+
Hiring Partners
95%
Placement Rate
17+ Years of Excellence
Established training institute with proven track record of producing industry-ready professionals
Expert Faculty
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
100% Placement Assistance
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Comprehensive Curriculum
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation
Flexible Batches
Multiple batch timings to suit working professionals, students, and freshers
Live Project Experience
Work on real client projects during internship at Ramana Soft IT company
Pay After Placement
Flexible payment options including pay after placement for eligible candidates
We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers.
Certification
Earn a course completion certificate that documents your training and practical learning, while developing demonstrable skills through gen ai Testing real-time projects.
Certificate of Completion
AI Powered Testing Program
This certifies that
[Your Name]
has successfully completed the
Training Program
Quality Thought
Ameerpet, Hyderabad
Certificate ID
QT-2024-XXXX
- Certificate Includes
- Industry-recognized course completion certificate
- Certification from Quality Thought institute
- Additional internship certificate from Ramana Soft (for I&I program)
- Digital certificate with unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes detailed syllabus covered
- Project completion certificates
Industry Recognition
Our certificates are recognized by leading companies and add credibility to your resume
Skill Validation
Proves your expertise in AI Powered Testing in all mentioned technologies
Career Advancement
Increases your chances of getting hired and helps in salary negotiations
Digital & Physical
Get both digital certificate for online sharing and physical certificate for framing
Course Certificate
Upon successful completion of training program
Internship Certificate
For I&I program from Ramana Soft IT Company
Project Certificate
For major projects completed during training
Frequently Asked Questions
Find answers to common questions about the Gen AI testing training program, including eligibility, learning formats, curriculum, practical projects, tools, certification, and career-focused learning.
What is generative AI testing?
Generative AI testing is the practice of evaluating systems built on large language models, where the output is non-deterministic and cannot be checked with a fixed expected value. It replaces exact assertions with metric-based evaluation of qualities such as faithfulness, relevance and safety.
How is testing an AI system different from testing normal software?
Conventional software testing compares actual output against an expected value. An LLM can produce a different, equally valid answer each run, so testing shifts toward measuring whether responses are grounded in source material, relevant to the question, safe, and consistent enough across a defined evaluation set. This approach is particularly relevant when developing LLM evaluation corporate training for QA teams.
What does the Quality Thought Generative AI Testing course cover?
The course covers how LLMs and RAG systems work from a tester’s perspective, LLM evaluation metrics, hands-on evaluation with DeepEval and RAGAS, AI agent and tool-call testing, prompt injection and adversarial testing, and running evaluation suites in CI. The curriculum is structured to support learners who want practical exposure before pursuing broader generative AI testing training in Hyderabad or other learning formats.
Who is this course for?
Is the course available online across India?
Yes, Quality Thought delivers live online training for learners anywhere in India, alongside classroom batches at its Ameerpet centre in Hyderabad. Sessions are recorded for catch-up, while learners exploring whether there is a generative AI testing certification can also understand the training and certification options available.
How long is the course?
Confirm the current published duration in weeks and total instruction hours with the academic team before this answer goes live.
What are the course fees?
Fees vary by batch and delivery mode. Call Quality Thought on +91 9963486280 for current pricing and any instalment options.
Will I need paid LLM API access during the course?
Evaluating LLM output involves model calls, which carry usage cost, and metric-based evaluation using an LLM as a judge multiplies those calls.Confirm whether API credits are provided or learner-funded, since this materially affects the cost of practising.
What job roles does this lead to?
Graduates typically target AI QA Engineer, LLM Evaluation Engineer, AI Test Engineer and SDET roles with AI responsibility, or expand their remit within an existing QA team that has started shipping AI features.
Is placement assistance included?
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