AI for Testing & Automation: Hands-On Guide for Beginners

In this video, you’ll learn what a prompt is and how prompt engineering helps you get better, more accurate results—especially in software testing.

? You’ll learn:

• What is a prompt (simple explanation)

• What is prompt engineering

• Why AI gives poor output sometimes

• How to write better prompts using real examples

• Step-by-step demo using ChatGPT

• CO-STAR method

We’ll use real testing scenarios like login and signup to make it practical and easy to understand.

? This is a hands-on session—learn by doing, not just watching.

Perfect for beginners, testers, and anyone using AI tools.

Want better results from AI while testing?

In this video, you’ll learn one of the most powerful prompt engineering techniques — Persona (Role Prompting) — using real-world testing scenarios.

We’ll use an e-commerce checkout example and show step-by-step how changing the role of AI improves test case quality.

? You’ll learn:

1. What is Persona / Role Prompting

2. Why basic prompts fail

3. How to make AI think like an SDET

4. Hands-on demo using ChatGPT

5. Real comparison: Basic vs Advanced prompts

This is a practical, hands-on session designed for testers, SDETs, and beginners.

? Try it yourself and see the difference ?

Struggling with messy AI output while generating test cases?

In this video, you’ll learn two powerful prompt engineering techniques — Delimiters and Constraints — using a simple story between a junior tester and a senior SDET.

? You’ll learn:

• Why basic prompts fail

• What are delimiters (how to guide AI with boundaries)

• What are constraints (how to control AI output)

• Step-by-step real-world demo (API testing scenario)

• How to write clean, structured prompts for testing

We use a practical checkout API example and show how to improve prompts using ChatGPT.

? This is hands-on, simple, and directly usable in real projects.

In this video, you’ll learn how to build and refine prompts step-by-step using a real-world testing scenario.

We take a simple checkout feature and improve the prompt gradually—adding persona, constraints, context, and structure—to get high-quality test cases.

? You’ll learn:

• Why basic prompts fail

• How to improve prompts step-by-step

• Using Persona, Constraints, and Context

• How to generate structured BDD test cases

• Real hands-on demo using ChatGPT

This is how real SDETs use AI in projects—practical, iterative, and result-driven.

In this video, you’ll learn the CO-STAR Prompting Framework — a simple and powerful way to write clear, structured prompts that actually work in real testing scenarios.

Instead of guessing what to ask AI, you’ll learn how to guide it step-by-step using:

• Context

• Objective

• Style

• Tone

• Audience

• Response

We walk through a real example (Login with OTP) and improve a bad prompt into a professional, job-ready one—live.

? You’ll see how real SDETs use ChatGPT to:

• Generate structured test cases

• Improve output quality

• Save time in daily tasks

This is a hands-on, practical session designed for beginners and working testers.

? By the end, you’ll stop writing random prompts and start writing smart prompts that deliver results ?

In this video, you’ll learn the core types of test cases every tester must know — explained in a simple story format with real-world examples.

We cover:

• Positive test cases (happy path)

• Negative test cases (error handling)

• Edge cases (unusual scenarios)

• Boundary cases (limits & validations)

You’ll also practice how to use AI Prompts for this example

? This session is perfect for beginners, manual testers, and anyone starting in QA or automation.

By the end, you’ll know how to think like a real tester and not miss important scenarios.

In this video, you’ll learn how to use Risk-Based Testing with AI to focus on what really matters.

Instead of writing endless test cases, you’ll learn how to:

• Identify high-risk areas in a feature

• Prioritize test cases based on impact

• Use AI to generate high-priority scenarios

• Save time while improving test coverage

We use a real checkout example and show step-by-step how to generate risk-based test cases using ChatGPT.

? This is how real SDETs think and test in fast-paced projects.

By the end, you’ll stop testing blindly and start testing smartly ?

In this video, you’ll learn how to generate high-quality test data using AI with a simple, structured approach.

We walk through a real signup form example and show how to generate:

• Valid test data

• Invalid test data

• Edge cases

• Boundary values

You’ll also learn how to use the CO-STAR prompting method to get consistent, structured output every time.

? Using ChatGPT, we demonstrate step-by-step how real testers create test data quickly and efficiently.

This is a hands-on, practical session designed for:

• Beginners in testing

• Manual testers

• Automation testers

• SDETs

? By the end, you’ll be able to generate test data like a pro and save hours of manual effort ?

In this video, you’ll learn how to transform simple test cases into automation-ready steps using AI—just like a real SDET/QA Engineer.

We take a basic login test case and break it down into:

• Step-by-step manual actions

• Automation-ready steps

• Tool-specific instructions for frameworks like Playwright

You’ll also see how to use ChatGPT to:

• Convert test cases into clear actions

• Add expected results

• Prepare for real automation scripts

? This is a hands-on, practical session designed for:

• Manual testers moving to automation

• QA engineers

• Beginners in SDET journey

By the end, you’ll understand how to bridge the gap between testing and automation ?

What if you could find bugs before testing even begins?

In this video, you’ll learn how to use AI for bug prediction and shift-left testing—a powerful skill used by experienced SDETs.

Instead of waiting for bugs, you’ll learn how to:

• Analyze features early

• Identify high-risk areas

• Predict possible failures

• Convert predictions into smart test cases

Using ChatGPT, we walk through a real checkout scenario and show how to think like a senior tester before writing a single test case.

? This session is perfect for:

• QA engineers

• Automation testers

• SDETs

• Anyone who wants to level up their testing mindset

By the end, you’ll shift from reactive testing to proactive, intelligent testing ?