Gen AI Testing Course

AI & QA Fundamentals - Statistics & Probability - ML - AI System Testing - AI-Assisted Automation - No-Code Automation - Generative AI - NLP & LLM Testing

Build practical skills in AI-powered software testing, generative AI, LLMs, test automation, and modern QA workflows. This generative AI testing course helps QA professionals develop practical testing skills and prepare for opportunities such as AI QA engineer jobs USA. Explore More Courses from Quality Thought for additional career-focused programs.

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Batch Details & Schedule

Explore flexible learning options and generative AI testing training in Hyderabad for practical QA and testing skill development.

Next Batch Starts

30th Oct 2026

Session Time

08:15 PM to 09:30 PM

Course Duration

3 Months

Skills You'll Master

Build practical QA capabilities through AI testing for manual testers and develop advanced automation skills through an LLM test automation course.

Comprehensive AI Testing Curriculum

Master AI-driven testing from fundamentals to advanced strategies, including AI-assisted automation, Generative AI, NLP/LLM validation, and ISTQB-aligned test management through hands-on projects.

Your Path to Mastery

Follow a structured learning path to develop automation tester to AI testing skills through practical generative AI testing workflows.

Exclusive Training

⏱ 1.5-2 hrs/day

Best for: Beginners & learners

Not sure which program to choose? Contact our counselors for a free consultation. We’ll help you select the best program based on your background, goals, and availability.

Prerequisites & Eligibility

Understand the skills and learning foundation needed to explore will AI replace software testers and prepare for the evolving QA landscape.

  • 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

Special Note: This program is designed to provide practical exposure to generative AI testing tools, workflows, and real-world QA scenarios. Learners can strengthen their practical skills through the gen ai Testing bootcamp course and gain hands-on experience through the gen ai Testing internship course.

Complete Course Curriculum

Comprehensive modules covering AI testing, LLM evaluation, security, RAG, AI agents, automation, and practical Gen AI testing workflows.

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

● Tokens, context window, and cost
● Temperature and randomness control
● Prompt engineering basics
● RAG vs Fine-tuning
● LLM inference pipeline

● Hallucination detection
● Prompt injection attacks
● Bias and fairness
● Inconsistent behavior
● AI bug reporting

● AI test case format
● Evaluation criteria design
● Statistical testing
● Boundary and edge cases
● Test library creation

● Oracle design
● Golden datasets
● Open vs closed domain testing
● Rate measurement
● Reporting

● OWASP LLM Top 10
● Injection testing
● Jailbreaking
● RAG poisoning
● Security reporting

● Bias taxonomy
● Counterfactual testing
● Statistical validation
● Consistency testing
● Compliance

● RAG architecture testing
● Context validation
● RAGAS metrics
● Negative testing
● Source attribution

● Agent architecture
● Tool testing
● Memory testing
● Multi-agent validation
● Trace debugging

● Threat modeling
● Jailbreak testing
● Adversarial testing
● Toxicity testing
● Report writing

● Python basics
● API testing
● Async testing
● Environment management
● Error handling

● Test structure
● Fixtures
● Mocking
● Reporting
● Test pyramid

● Evaluation metrics
● Custom metrics
● Dataset creation
● Integration
● CI gating

● Pipeline setup
● Metrics
● Dataset creation
● Regression testing
● CI integration

● Versioning
● Regression testing
● A/B testing
● Adversarial testing
● Optimization

● Framework setup
● Unit testing
● State testing
● Trace assertions
● Regression testing

Industry-Focused Program

Hands-On Project Training

Why Choose Quality Thought

Our practical learning approach supports QA professionals and organizations through structured training, hands-on experience, and career-focused preparation, including LLM evaluation corporate training.

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

Our practical approach combines structured learning, hands-on assignments, and career-focused preparation. Learners can strengthen their career readiness through the gen ai Testing job guarantee course and apply their skills through the gen ai Testing real-time project.

Certification

Explore certification-related learning outcomes and answers to is there a generative AI testing certification for QA professionals.

Certificate of Completion

AI Powered Testing Program

This certifies that

[Your Name]

has successfully completed the

AI Powered Testing Program

Training Program

Quality Thought

Ameerpet, Hyderabad

Certificate ID

QT-2024-XXXX

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

Get answers to common questions and explore what to consider when choosing the best AI testing course 2026.

An AI testing course focuses on AI-powered tools, intelligent automation, and data-driven testing, unlike traditional testing which relies mainly on manual or script-based automation.

Yes. Freshers can enroll in an AI testing course as it starts from testing fundamentals and gradually introduces AI for software testing concepts and tools.

After learning AI in testing, you can work as an AI tester, AI QA engineer, test automation specialist, or AI test analyst in IT and product-based companies.

AI software testing is widely used in IT services, fintech, healthcare, e-commerce, telecom, and AI-driven product development companies.

AI QA testing improves test accuracy by learning from test data, predicting failures, optimizing test coverage, and reducing repetitive manual testing tasks.

Ready to Start Your Career in AI-Powered Testing

Don’t wait. Get trained with comprehensive, hands-on training in AI and QA Engineering. Your journey to becoming an AI-enabled QA Engineer or Test Automation expert starts here.

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