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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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Explore flexible learning options and generative AI testing training in Hyderabad for practical QA and testing skill development.
30th Oct 2026
08:15 PM to 09:30 PM
3 Months
Build practical QA capabilities through AI testing for manual testers and develop advanced automation skills through an LLM test automation course.
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.
Follow a structured learning path to develop automation tester to AI testing skills through practical generative AI testing workflows.
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.
Understand the skills and learning foundation needed to explore will AI replace software testers and prepare for the evolving QA landscape.
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.
Comprehensive modules covering AI testing, LLM evaluation, security, RAG, AI agents, automation, and practical Gen AI testing workflows.
● 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
Hands-On Project Training
Our practical learning approach supports QA professionals and organizations through structured training, hands-on experience, and career-focused preparation, including LLM evaluation corporate training.
Years Experience
Students Trained
Hiring Partners
Placement Rate
Established training institute with proven track record of producing industry-ready professionals
Learn from trainers with 10+ years of real-world industry experience in leading tech companies
Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired
Updated syllabus covering latest technologies and industry best practices with hands-on projects
Not just training, but complete career transformation with soft skills and interview preparation
Multiple batch timings to suit working professionals, students, and freshers
Work on real client projects during internship at Ramana Soft IT company
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.
Explore certification-related learning outcomes and answers to is there a generative AI testing certification for QA professionals.
AI Powered Testing Program
This certifies that
[Your Name]
has successfully completed the
AI Powered Testing Program
Training Program
Ameerpet, Hyderabad
QT-2024-XXXX
Our certificates are recognized by leading companies and add credibility to your resume
Proves your expertise in AI Powered Testing in all mentioned technologies
Increases your chances of getting hired and helps in salary negotiations
Get both digital certificate for online sharing and physical certificate for framing
Upon successful completion of training program
For I&I program from Ramana Soft IT Company
For major projects completed during training
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.
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.
Fill in your details to register for the program