How to run a seed round
Testing is evolving rapidly, and Generative AI is reshaping how quality is delivered — enabling teams to work smarter, move faster, and focus on what truly matters.
Testing is evolving rapidly, and Generative AI is reshaping how quality is delivered — enabling teams to work smarter, move faster, and focus on what truly matters.
GenAI for Testers is a practical, hands-on program designed to help testing professionals seamlessly integrate AI into their daily workflows — enhancing productivity, improving test design, and strengthening decision-making across the testing lifecycle.
GenAI for Testers is a one-day, instructor-led program built to help testing professionals apply Generative AI in real, day-to-day testing activities.
Designed around the concept of “a day in the life of a tester,” the program focuses on the most time-consuming and cognitively demanding tasks — and demonstrates how AI can be embedded into these workflows in a practical and responsible way.
Participants learn how to:
Use AI to enhance requirement analysis and early defect detection
Improve structured test design using proven techniques
Optimize regression testing with smarter impact analysis
Strengthen exploratory testing and defect investigation
Communicate insights effectively to stakeholders
Every module is hands-on, scenario-driven, and immediately applicable.
By the end of the program, participants will be able to:
Confidently apply Generative AI across the testing lifecycle
Write effective, structured prompts to generate high-quality outputs
Identify gaps, risks, and ambiguities in requirements early
Design robust and comprehensive test cases using AI assistance
Optimize regression efforts and reduce redundant testing
Enhance exploratory testing depth and defect quality
Translate technical outputs into clear business insights
Critically evaluate AI outputs and apply human judgment effectively
Participants leave with practical skills that can be applied immediately in their projects.
The program provides end-to-end coverage of testing activities enhanced with Generative AI, including:
Introduction to Generative AI for testers
AI vs traditional automation and key limitations
Structured prompt engineering techniques (Context–Role–Input–Constraints–Output)
Requirement analysis and early defect identification
Advanced test design techniques:
Boundary Value Analysis
Equivalence Partitioning
Decision Tables
Regression optimization and change impact analysis
Exploratory testing and defect investigation
Test reporting and stakeholder communication
Critical evaluation of AI-generated outputs
Future of testing in the AI-driven world
Each topic is supported by hands-on exercises, live demos, and real-world testing scenarios.
This program is ideal for:
Manual Testers and QA professionals
Automation Testers looking to enhance productivity
Test Leads and QA Managers
Business Analysts involved in testing activities
Teams looking to adopt AI-driven testing practices
Organizations aiming to improve testing efficiency and quality
No prior experience with AI or coding is required.
