• 4 months · Hybrid

Master AI-Powered Testing & QA

Learn to test, validate, and ensure quality in AI systems. From traditional QA automation to cutting-edge AI testing methodologies.

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Course Overview

Duration

4 months

Format

Hybrid (Live + Recorded)

Projects

4+ Real-World Projects

What You Will Learn

Tools and technologies you’ll master in this track.

Python
Selenium
ChatGPT
AI Test Generators
Pytest
Robot Framework
API Testing Tools
CI/CD Pipelines

Curriculum

Structured modules to take you from basics to advanced.

  • Module 1: Foundations
  • Software testing fundamentals
  • Test automation basics
  • Python for testers
  • Understanding AI systems
  • Module 2: Intermediate
  • AI-powered test generation
  • API testing with AI
  • Performance testing
  • Visual regression testing
  • Module 3: Advanced
  • Testing LLM applications
  • Security testing for AI
  • Continuous testing pipelines
  • Bias & fairness testing
  • Module 4: Capstone Projects
  • End-to-end test framework
  • Automated regression system
  • Portfolio building
  • AI model validation suite

Real-World Projects

Hands-on projects you’ll build during this program.

AI Test Case Generator

Build a tool that automatically generates test cases from requirements using AI.

LLM Output Validator

Create a framework to validate and score LLM responses for accuracy and consistency.

Visual Regression Suite

Develop an AI-powered visual testing system that detects UI anomalies.

API Test Automation Framework

Build a comprehensive API testing framework with AI-assisted assertions.

Who This Course Is For

  • QA engineers wanting to upskill in AI testing
  • Manual testers transitioning to automation
  • Developers interested in AI quality assurance
  • Test leads exploring AI-powered testing tools

Frequently Asked Questions

Is this for manual testers too?
Yes. We cover both manual-to-automation transition and advanced AI testing concepts.
Basic understanding helps, but we teach Python from scratch in the first module.
The curriculum aligns with industry-standard QA practices and prepares you for AI testing roles.
Plan for 10-15 hours per week including live sessions, self-study, and project work.

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