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Free Download AI Fundamentals for Beginners From AI Testing to GenAI
Published 4/2026
Created by Pankaj Gupta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 81 Lectures ( 3h 44m ) | Size: 3.1 GB
Learn AI & GenAI testing from scratch with real‑world examples, no‑code, beginner friendly + Prompt Engineering
What you'll learn
✓ Understand how AI systems differ from traditional applications
✓ Test machine learning models with the right mindset
✓ Design effective AI test cases
✓ Identify bias, hallucination, and unsafe AI responses
✓ Test Generative AI systems using prompt variations
✓ Apply automation basics in AI testing
✓ Handle real-world AI testing scenarios confidently
✓ Explain AI testing concepts clearly in interviews
✓ This is highly relevant for modern AI projects.
Requirements
● Basic knowledge of software testing
● Curiosity to learn AI testing
● No machine learning background needed
● No heavy coding required
Description
AI Testing for Beginners - Practical Guide for Software Testers
Artificial Intelligence is now part of modern software applications - including chatbots, recommendation systems, resume screening tools, credit scoring systems, and Generative AI platforms.
However, many software testers find it challenging to test AI-based systems effectively.
Traditional testing approaches often fall short because
• Expected results are not always fixed
• AI outputs can vary for the same input
• Behavior may change over time
• Issues like bias, inconsistency, and hallucinations can occur
• Automation strategies need a different approach
If you are a tester exploring AI systems, this course is designed to help you understand how AI works and how testing needs to adapt.
What Makes This Course Different
This course is designed specifically for software testers, not data scientists.
You will learn
• AI concepts explained in simple, practical language
• Testing approaches tailored for real-world QA scenarios
• Clear explanations without complex mathematics
• Coverage of modern Generative AI testing concepts
• Beginner-friendly content with minimal coding Requirements
The focus is on helping you understand AI systems from a tester's perspective.
What You Will Learn
By the end of this course, you will have a clear understanding of
• How AI systems differ from traditional applications
• The mindset required for testing AI-based features
• Approaches to designing test cases for AI behavior
• Common risks such as bias, hallucination, and unsafe responses
• Techniques for testing Generative AI using prompt variations
• Where automation fits into AI testing workflows
• How to approach AI testing scenarios in real-world projects
• Key concepts that can help you discuss AI testing in interviews
Special Focus: Generative AI Testing
Generative AI is becoming a core part of modern applications.
In this course, you will explore how to evaluate
• Prompt variations and their impact on responses
• Hallucination scenarios
• Toxic or unsafe outputs
• Guardrails and safety mechanisms
• Context handling and memory behavior
• Response consistency
These concepts are highly relevant for tools like chatbots and AI assistants.
Practical & Real-World Approach
This course focuses on practical understanding through relatable examples, including
• Chatbot testing approaches
• Resume screening system scenarios
• Recommendation system behavior
• Credit scoring system analysis
• Introduction to automation in AI testing
• Hybrid testing strategies (manual + automation)
All topics are explained in a simple and structured way to make learning easier.
Strong Foundation: AI Basics Made Simple
Before moving into testing, the course builds a clear foundation by covering
• What Artificial Intelligence and Generative AI are
• How AI systems learn and make decisions
• Why AI outputs vary and how to interpret them
This helps reduce confusion and makes advanced topics easier to follow.
AI Testing with Practical Thinking
You will explore how testers approach AI systems in real scenarios, including
• Testing chatbot interactions
• Identifying inconsistency and unexpected outputs
• Evaluating risk and behavior instead of exact results
• Understanding how AI testing differs from traditional testing
Introduction to Prompt Engineering
The course also introduces key prompt engineering concepts, such as
• Writing effective vs ineffective prompts
• Zero-shot, one-shot, and few-shot prompting
• Structuring prompts for better AI responses
• Understanding how prompt design impacts output
Who this course is for
■ Manual Testers moving into AI projects
■ Automation Testers exploring AI systems
■ QA Engineers working with chatbots
■ Professionals preparing for AI testing interviews
■ Anyone curious about AI testing basics
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