Master GenAI for Software Testing

Unlock the power of Generative AI in software testing with this 3-day hands-on course. Learn to generate test cases, test data, BDDs, and bug reports using tools like ChatGPT—no prior AI experience needed. Perfect for manual testers, automation engineers, and QA leads looking to future-proof their careers.

Course Overview

This 3-day, 12-hour instructor-led course is designed for manual testers, automation engineers, and QA managers who want to leverage Generative AI tools like ChatGPT and Gemini to enhance and accelerate their QA processes.

Course Objectives:

Prompt engineering for test case creation
Automating test documentation
Generating realistic test data and BDDs
Using GenAI for test optimization and reporting
Exploring advanced concepts like RAG, vector databases, and multimodal testing
Best practices for responsible AI use in QA

Includes hands-on exercises, cheat sheets, and access to real-world prompts and tools.

Course Benefits:

By the end of this course, participants will be able to:

Generate test cases, plans, and strategies using GenAI
Analyze requirements and generate BDDs
Use GenAI to create data and optimize testing artifacts
Understand advanced GenAI concepts like RAG and multimodality
Evaluate GenAI outputs responsibly

Placement Support:

We offer full career and placement assistance including:

Resume optimization with GenAI-specific skills
Mock interviews focusing on AI-powered QA roles
Job referrals through our corporate hiring network
Exclusive access to QA openings that prefer GenAI-skilled testers
LinkedIn profile revamp to showcase your new capabilities

Salary Hike:

Learning GenAI tools in QA can unlock:

20–50% salary hike for upskilled professionals
Access to AI-focused testing roles that command higher pay
Opportunities in roles like AI Test Engineer, Automation QA with GenAI, and Test Strategist with LLM tools
High demand in startups and MNCs looking to automate QA with AI

Support After Course Completion:
Our team is available to provide post-course support and assistance. You can reach out to us for any queries or assistance. Enroll now in our live training course on GenAI for Enhanced Software Testing and take your AI testing skills to the next level!

CURRICULUM

Discover our comprehensive course curriculum designed to equip you with the knowledge and skills you need to succeed. Dive into a structured learning journey that covers all essential topics and prepares you for real-world challenges

Day 1 – Foundations of GenAI for QA

Module 1: Introduction to Generative AI

What is Generative AI?
Differences between Traditional AI and GenAI
How GenAI is transforming software development
Introduction to LLMs (ChatGPT, Gemini, Claude, etc.)

Hands-on Activity:

Exploring ChatGPT with simple prompts

Module 2: Prompt Engineering for QA

What is a Prompt? Anatomy of a Good Prompt
Types of Prompts (Zero-shot, Few-shot, Chain-of-Thought)
Writing QA-specific prompts

Hands-on Activity:

Generate test cases using prompts for a sample login page
Iteratively refine prompts for better output

Day 2 – Manual & Test Documentation Automation

Module 3: Manual Testing with GenAI

Creating Test Scenarios from User Stories
Generating Test Plans from Requirements
Creating Detailed Test Cases
Building Test Strategies

Hands-on Activity:

Provide a requirement doc → Generate test plan → test cases → test strategy

Module 4: Test Data & BDD Generation

Generating Realistic Test Data with ChatGPT
Generating BDD Gherkin Scenarios from Requirements
Analyzing Requirements with GenAI

Hands-on Activity:

Generate 20 sets of edge test data
Write BDD Scenarios for "Add to Cart" use case

Day 3 – Advanced GenAI Concepts for QA

Module 5: Using GenAI for Test Optimization

Traceability Matrix generation
Bug Reproduction Steps & Suggestions
Test Report Summarization
Risk-based Testing Suggestions

Hands-on Activity:

Input sample test execution report → Get a summarized test report
Use GenAI to suggest missing scenarios

Module 6: Advanced Topics in GenAI Testing

Overview of LLM Models (GPT, Gemini, LLaMA, etc.)
Introduction to RAG (Retrieval-Augmented Generation)
Vector Databases, Embeddings, Similarity Search
Multimodal GenAI: Image, Audio, Text, Video

Hands-on (Demo/Conceptual):

Conceptual walkthrough of RAG testing
Examples of Multimodal Testing

Module 7: Responsible GenAI & QA Use Cases

LLM Red Teaming for Risk & Hallucination Analysis
Agentic Testing – Testing AI Autonomy
Responsible AI – Fairness, Transparency, Security
Testing of Database Integrations using GenAI

Deliverables & Resources

Sample certificate

Get a sneak peek of the certificate you'll receive upon completing a course exam on TestoMeter! Take a look at what you'll earn as a symbol of your accomplishment.

CERTIFICATION ASSESSMENTS

Successfully completed the “GenAI for Enhanced Software Testing” course by TestoMeter. Gained hands-on experience in using ChatGPT and GenAI tools for test case generation, test planning, BDD writing, and test optimization. Skilled in prompt engineering, risk-based testing, and AI-driven QA automation.