Generative AI Testing Course for Manual & Automation Testers– Live Training Demo
(Master AI, ML, Fine-Tuning, Prompt Engineering, AI Agents & Test Automation — then land the job)
Master the future of software quality with our Generative AI Testing Course for Manual & Automation Testers — a practical, hands-on training program designed for beginners, manual testers, automation testers, and QA professionals who want to build expertise in testing Generative AI and LLM-powered applications.
You will learn Generative AI, Artificial Intelligence, Large Language Models (LLMs), Prompt Engineering, ChatGPT, Claude AI, AI Testing, LLM Testing, RAG, AI Agents, Python, API Testing, and AI-Powered Test Automation through practical exercises and real-world projects rather than passive theory. The course takes you from AI fundamentals and prompt validation to testing AI-generated responses, identifying hallucinations, evaluating accuracy, checking reliability, and validating intelligent applications.
The program concludes with practical, industry-oriented testing covering LLM Evaluation, Prompt Testing, Hallucination Detection, Bias Testing, RAG Testing, AI Response Validation, Functional Testing, API Testing, and Automation Testing. You will gain hands-on experience testing AI-powered applications, validating model outputs, identifying potential risks, and designing effective test strategies to ensure the quality, accuracy, reliability, and performance of Generative AI applications.
About the Instructor:
Abi is an AI/LLM Test Engineer and Automation Testing expert with extensive experience in Generative AI, AI-powered testing, Selenium, Playwright, API Automation, and AI Agent Development. She is passionate about helping QA professionals and software engineers upskill in emerging AI technologies and modern automation practices, enabling them to stay ahead in the rapidly evolving technology landscape.
Training Track Record
Her training approach focuses on practical implementation, real-world use cases, hands-on exercises, and industry best practices, ensuring participants gain job-ready skills that can be applied immediately in their projects and careers. As the trainer for the Generative AI for Manual & Automation Testers: Selenium, Playwright & AI Agent Development program, Abi combines her expertise in AI, automation, and quality engineering to provide a comprehensive learning experience. Her mission is to help testers and QA professionals confidently transition into the AI era by mastering Generative AI concepts, AI agents, modern automation frameworks, and intelligent testing strategies that are increasingly in demand across the industry. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 99 USD Or USD15000 INR 9900 INR 7900 Rupees.
OR
Free Demo On:
Indian Timings: 12th November @ 9 PM – 10 PM (IST)/
U.S Timings: 12th November @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 12th November @ 3:30 PM – 4:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What students have to say about Abi:
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⭐ The course provided a clear understanding of Generative AI concepts and their applications in software testing. The practical examples helped me understand how AI can improve testing efficiency. — Rahul ⭐ The sessions were informative and interactive. I learned how to use Generative AI tools for test case generation, test automation, and defect analysis. — Ayesha ⭐ The trainer explained complex AI concepts in a simple and practical way. The hands-on demonstrations helped me understand how Generative AI can support manual and automation testing. — David ⭐ I really enjoyed learning about LLMs, AI-powered testing tools, prompt engineering, and real-world testing applications. The practical examples made every topic easy to follow. — Fatima ⭐ This course improved my understanding of AI-driven testing, test case creation, test data generation, and automation testing. The industry-focused examples were very useful. — Gurpreet ⭐ The training was excellent and easy to understand. I especially liked learning how Generative AI can help testers reduce manual effort, improve test coverage, and increase testing productivity. — Joseph |
• This course is designed for a wide range of IT professionals and students, including:
• Manual Testers and Automation Test Engineers.
• QA Engineers and Software Testing Professionals.
• Selenium, Playwright, Cypress, and API Automation Testers.
• Performance Test Engineers interested in AI-powered testing.
• Software Developers interested in Generative AI and LLM Testing.
• IT Professionals looking to upgrade their skills in AI-driven testing.
• Technical Consultants, Test Leads, QA Managers, and Test Architects.
• Students pursuing B.Tech/B.E (CSE, IT, ECE), B.Sc, BCA, MCA, or M.Tech.
• Fresh graduates and final-year students interested in building a career in AI Testing.
Course Syllabus:
Module 1: GenAI & LLM Fundamentals
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Introduction to AI, ML & Deep Learning – Understand the fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
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Generative AI & Its Evolution – Explore Generative AI, its evolution, capabilities, and applications in modern software testing.
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Understanding Popular LLMs – Learn about GPT, Claude, DeepSeek, and Llama, and explore their features and capabilities.
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GenAI in Software Testing – Discover how Generative AI transforms test case creation, test data generation, and automation testing.
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Hands-On Practice – Interact with multiple LLMs and explore basic functionalities across different providers.
Module 2: LLM Mechanics & Architecture
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Understanding LLM Architecture – Learn how Large Language Models work, including Transformers and Attention Mechanisms.
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LLM Training Fundamentals – Explore pre-training, fine-tuning, and the differences between various training approaches.
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Data Preparation & Preprocessing – Understand data requirements, dataset preparation, and preprocessing techniques for LLMs.
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Ethical AI & Responsible Testing – Learn about ethical AI usage, bias considerations, and responsible implementation of LLMs.
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Hands-On Practice – Set up the environment and explore local and cloud-based language models.
Module 3: Prompt Engineering Mastery
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Introduction to Prompt Engineering – Understand prompt engineering principles and their importance in Generative AI applications.
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Effective Prompt Creation Techniques – Learn different prompting techniques to generate accurate and relevant LLM responses.
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Context & Intent Management – Understand how to provide context and define intent to improve prompt quality.
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ICED-TO Framework – Master the ICED-TO framework for creating structured and effective prompts.
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Prompt Engineering for Testing – Create prompts for test case generation, test data creation, and software testing scenarios.
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Hands-On Project – Develop effective prompts for generating test cases and test data using the ICED-TO framework.
Module 4: Fine-Tuning & Hyperparameter Optimization
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Fine-Tuning Fundamentals – Understand what fine-tuning is, when to use it, and how it improves model performance.
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Supervised Fine-Tuning – Learn supervised fine-tuning using labelled datasets and training examples.
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Training Dataset Preparation – Create and prepare JSONL training datasets for fine-tuning language models.
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Hyperparameters & Model Tuning – Understand epochs, learning rate multipliers, and other essential tuning parameters.
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Fine-Tuning vs RAG – Explore the differences between static fine-tuning and dynamic Retrieval-Augmented Generation (RAG).
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Model Validation – Learn how to execute fine-tuning jobs, validate models, and analyze results.
Module 5: AI-Powered Automation Testing
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AI-Powered Selenium Automation – Generate Selenium automation scripts using Large Language Models.
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AI-Powered Playwright Automation – Generate Playwright scripts using LLMs and explore AI-assisted automation techniques.
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Automated Test Script Generation – Learn how to automate test script creation using Generative AI.
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Framework Integration – Integrate LLM-generated automation scripts into existing testing frameworks.
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Hands-On Project – Generate and execute automation scripts using AI-powered Selenium and Playwright.
Module 6: AI Agents & Intelligent Test Automation
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Introduction to AI Agents – Understand AI agents, their architecture, capabilities, and working principles.
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AI Agent Frameworks – Explore popular frameworks such as LangChain and LlamaIndex.
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Building AI Agents – Learn to build intelligent AI agents for automating software testing activities.
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Test Automation Workflows – Automate test creation workflows using AI agents and LLM-powered solutions.
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Capstone Project – Build an inspect-and-generate AI agent and explore test scenario generation for retail banking applications.
Module 7: Career Preparation & Job Launch
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AI-Optimized Resume Preparation – Create professional, AI-optimized resumes highlighting Generative AI and automation testing skills.
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LinkedIn Profile Optimization – Build a strong LinkedIn profile to showcase your technical skills and project experience.
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Job Application Strategy – Learn effective strategies for searching and applying for relevant job opportunities on LinkedIn.
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Final Capstone Presentation – Present your completed projects and demonstrate your practical knowledge.
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Career Guidance – Understand the next steps to prepare for Generative AI Testing and AI Automation career opportunities.
Frequently Asked Questions (FAQ’S):
1. What is Generative AI Testing?
Generative AI Testing focuses on testing AI-powered applications, Large Language Models (LLMs), AI-generated responses, accuracy, reliability, and overall application performance.
2. Who can join this Generative AI Testing course?
This course is suitable for Manual Testers, Automation Testers, QA Engineers, Software Testers, Test Leads, and professionals who want to build skills in Generative AI and LLM Testing.
3. Is this course suitable for beginners?
Yes. The course starts with AI and Generative AI fundamentals before progressing into LLM concepts, prompt engineering, AI testing techniques, and practical testing approaches.
4. Do I need programming experience for this course?
Basic software testing knowledge is helpful. Programming experience is an added advantage, especially for automation testing, API testing, and hands-on AI testing exercises.
5. What will I learn in the Generative AI Testing course?
You will learn AI and ML fundamentals, Generative AI, LLMs, ChatGPT, Claude, prompt engineering, AI testing strategies, LLM testing, hallucination testing, response validation, RAG testing, and AI test automation.
6. Does the course cover ChatGPT and Large Language Models (LLMs)?
Yes. The course covers ChatGPT, Claude, and other popular LLMs, including their working principles, practical applications, response evaluation, and testing methodologies.
7. Will I learn Prompt Engineering and AI Testing techniques?
Yes. You will learn prompt engineering, prompt validation, prompt injection testing, response accuracy testing, bias detection, hallucination testing, and other important AI testing techniques.
8. Does the course include hands-on practical training?
Yes. The course includes practical exercises, real-world testing scenarios, AI application testing, LLM response validation, and hands-on activities to develop industry-ready skills.
9. Will I learn how to test AI-generated responses?
Yes. You will learn how to validate AI-generated responses for accuracy, relevance, consistency, completeness, hallucinations, and reliability.
10. What career opportunities are available after completing this course?
After completing this course, you can explore opportunities such as AI Tester, GenAI Tester, LLM Tester, AI Automation Engineer, QA Engineer, and Generative AI Quality Engineer.