AI Testing with (Gen AI + Prompt Engineering + Agentic AI)
The AI Testing with Gen AI + Prompt Engineering + Agentic AI course offers an in-depth knowledge of modern AI-driven testing methodologies, equipping learners with the knowledge and practical skills required to test both traditional software applications and AI-based systems.
Course Duration
90 Days
Course Language
Telugu, English
Learning Format
Offline/Online Training/Hybrid Training
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Description
The AI Testing with Gen AI + Prompt Engineering + Agentic AI course offers an in-depth knowledge of modern AI-driven testing methodologies, equipping learners with the knowledge and practical skills required to test both traditional software applications and AI-based systems. Designed for aspiring QA professionals and experienced testers, this course blends foundational AI concepts with cutting-edge techniques, empowering participants to leverage AI for faster, smarter, and more efficient testing.
Throughout the program, students will gain hands-on experience with Generative AI for automating test case and test data creation, prompt engineering to optimize bug reporting and documentation, and Agentic AI tools for autonomous, self-healing test automation. The course covers AI fundamentals, machine learning, deep learning, natural language processing, computer vision, and cognitive computing, establishing a strong base for practical application in QA.
They’ll also learn Software Testing Life Cycle (STLC) through an AI. Additionally, the course introduces advanced prompt engineering strategies, scenario-based testing for AI systems such as chatbots and LLMs, and industry-relevant AI testing tools like Testers.ai, Testron, and Bottest.ai. By the end of the course, learners will be able to harness Generative AI for rapid test case and data creation, master prompt engineering to boost testing efficiency, utilize Agentic AI for autonomous test automation, and confidently test both conventional applications and AI-driven systems.
Skills you get
- Strong Foundation in AI Concepts for Testers
- Generative AI–Powered Test Case & Test Data Creation
- Expertise in Prompt Engineering for QA
- Hands-on Knowledge of Agentic AI Tools
- Testing AI Systems (LLMs, Chatbots & RAG-based Apps)
- STLC Optimization Using AI
Course Contents
- 90 Days
- Telugu, English
- Offline/Online Training/Hybrid Training
Module 1: Foundations of AI for Testers
- What is AI? – Overview & Real-world Relevance
- How AI Works – Data, Algorithms, and Learning Loop
- Key Components of AI
- Machine Learning (ML)
- Deep Learning (DL)
- Neural Networks
- Cognitive Computing
- NLP (Natural Language Processing)
- Computer Vision
Module 2: Types of AI & Their Relevance in Testing
- Narrow AI vs General AI vs Super AI
- Reactive Machines vs Limited Memory vs Theory of Mind vs Self-Aware AI
- Practical Use Cases for QA/Testers
Module 3: Generative AI in QA
- What is GenAI? – Why It’s a Game Changer for Testers
- Applications in QA
- Test Case Generation
- Test Data Generation
- Test Documentation (Reports, Plans, Closure)
- Practical Hands-on Prompts
- “Generate 20 negative test cases for a login page”
- “Create 100 fake user profiles for testing”
Module 4: Prompt Engineering for Testers
- What is Prompt Engineering & Why It Matters in QA
- Types of Prompting
- Zero-Shot, Few-Shot, Role-Based, Format-Guided
- Crafting Effective Prompts: Formula (Role + Task + Context + Constraints + Format)
- Best Practices & Pitfalls
- Hands-on Labs
- Writing test cases with structured prompts
- Test Data generation prompts
- Bug report optimization with AI
Module 5: Agentic AI for Test Automation
- What is Agentic AI? (AI + LLM + Autonomy + Actions)
- Why It’s Powerful in QA
- Applications in QA
- Self-Healing Test Automation
- Smart Regression Testing
- Autonomous Test Execution & Bug Logging
- Demo: How an AI Agent Automates Login Test Flow
Module 6: Gen AI Across STLC (Software Testing Life Cycle)
- Requirement Analysis with AI
- Test Planning with AI Assistance
- Test Case Design – Manual & Automation Scripts
- Test Execution – Self-healing Automation
- Defect Reporting & RCA with AI
- Test Closure – Automated Reports & Insights
- Hands-on: Using ChatGPT/Claude to assist in STLC
Module 7: AI Tools for Testers
- Bottest.ai – Automated QA for Conversational AI
- TestCraft – No-code AI-powered Testing
- Testron AI – Agentic Test Generation & Maintenance
- Testers.ai (Checkie.ai) – AI Agents for End-to-End Testing
- Hands-on Setup & Execution
- Installing & Running Testers.ai
Generating Reports & Analysis
Module 8: Testing AI Systems (LLMs & Chatbots)
- How AI Tools Work (NLP + ML Flow)
- Testing Methodologies
- Functional Testing
- Usability Testing
- Performance Testing
- Security Testing
- Scenario Testing: Positive, Negative, Edge Cases
- Using RAG (Retrieval-Augmented Generation) in Testing
- Practical Lab: Testing a Chatbot with AI
Module 9: Advanced Prompt Engineering in QA
- Optimizing Test Case Design with AI
- Test Data Generation for Complex Scenarios (Banking, E-commerce, Insurance)
- Test Case Optimization & Prioritization
- API Testing with AI-generated Scripts (Postman, REST Assured)
- Automating Documentation (Strategy, Traceability Matrix, Release Notes)
Related Courses
Full Stack Software Testing
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Playwright Training
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Frequently asked questions
Q1. What is AI Testing?
AI Testing refers to using AI tools and techniques to enhance manual and automation testing.
Q2. Who is this training program for?
This course is perfect for freshers, manual testers, automation testers, and QA professionals who want full-stack testing knowledge along with AI-powered capabilities.
Q3. What topics are covered in this training program?
The program covers manual testing, SDLC, Agile, Core Java, Selenium automation, API testing with Postman and Rest Assured, GenAI test case generation, prompt engineering, and Agentic AI for self-healing automation.
Q4. Is there any course syllabus available?
Yes, the complete syllabus is available and includes manual testing, Selenium, Core Java, API testing, and AI-driven testing modules.
Q5. What is the duration of the training program?
The training typically runs for 10 to 12 weeks including project work.
Q6. What is the format of the training?
The course is delivered via online classes, live demos, hands-on assignments, and guided testing practice.
Q7. Are there any prerequisites for enrolling in the program?
No specific prerequisites. Basic computer knowledge is enough to begin.
Q8. How will this training program help me in my career?
You gain end-to-end manual + automation + AI testing skills, making you job-ready for roles like Full-Stack QA Engineer, Automation Tester, AI-Assisted QA Specialist, and Test Analyst.
Q9. Do you offer placement assistance?
Yes, placement support is provided with mock interviews and job connections.
Q10. What if I miss a session?
Recorded sessions or in-person backup classes can be arranged on request.
Q11. Are there any hands-on projects included in the training?
Yes, multiple full-stack testing projects with manual, automation, API, and AI-based tasks are included.
Q12. Can I access the course materials after the training is completed?
Yes, lifetime access is provided for all materials.
Q13. Do you provide any job assistance after the course?
Yes, resume building, mock interviews, and job referrals are included.
