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AI-Powered Testing with Amazon Q

5 weeksAdvanced

Stay ahead of the curve with AI-powered testing. As AI transforms software development, testers who master AI tools will lead the next generation of quality assurance.

Why AI Testing is the Future

AI-Generated Code

Test AI-generated applications with AI tools

Intelligent Test Creation

Auto-generate test cases from requirements

Predictive Analysis

Predict bugs before they occur

Smart Maintenance

Self-healing test scripts and automation

Career Future-Proofing

Essential skill for next-gen testers

Competitive Advantage

Stand out in the job market

Our Teaching Approach

Hands-on AI Tools

Direct experience with Amazon Q, ChatGPT, and more

Real Scenarios

Apply AI testing to actual software projects

Future-Ready Skills

Prepare for the next decade of testing

AI Testing Roadmap

1

AI Fundamentals for Testing

Understanding AI, ML basics, Testing applications

Where to implement: All modern software projects, AI-powered applications
2

Amazon Q Integration

Setup, Configuration, Testing workflows

Where to implement: AWS-based projects, enterprise applications
3

AI Test Generation

Automated test case creation, Smart test data

Where to implement: Large applications, regression testing
4

Intelligent Analysis

Bug prediction, Pattern recognition, Risk assessment

Where to implement: Quality assurance, predictive testing
5

Self-Healing Automation

Auto-fixing test scripts, Adaptive testing

Where to implement: Maintenance-heavy projects, CI/CD pipelines
6

Future Testing Trends

Emerging AI tools, Industry evolution

Where to implement: Career planning, technology adoption

Detailed Course Curriculum

Week 1: AI Fundamentals for Testers

Understanding AI's impact on software testing

AI Basics:
  • • What is AI & Machine Learning
  • • AI in Software Development
  • • Testing AI Applications
  • • AI Testing Tools Landscape
Practical:
  • • Explore AI testing tools
  • • Analyze AI applications
  • • Identify testing challenges

Week 2: Amazon Q Deep Dive

Master Amazon's AI-powered testing assistant

Setup & Config:
  • • Amazon Q Installation
  • • AWS Integration
  • • IDE Configuration
  • • Testing Workflows
Applications:
  • • Code review assistance
  • • Test case suggestions
  • • Bug analysis
  • • Documentation generation

Week 3: AI Test Generation & ChatGPT

Automate test creation with AI assistance

Test Generation:
  • • AI-powered test cases
  • • Smart test data creation
  • • Requirement analysis
  • • Edge case identification
ChatGPT Integration:
  • • Prompt engineering
  • • Test script generation
  • • Bug report analysis
  • • Documentation assistance

Weeks 4-5: Advanced AI Testing & Future Trends

Master cutting-edge AI testing techniques

Advanced Techniques:
  • • Predictive bug analysis
  • • Self-healing test scripts
  • • Intelligent test optimization
  • • AI-driven risk assessment
Future Preparation:
  • • Emerging AI tools
  • • Industry trends
  • • Career roadmap
  • • Continuous learning

Capstone Project: AI Testing Portfolio

Build a comprehensive AI testing showcase

Project Components:
  • • AI-generated test suite
  • • Automated bug prediction
  • • Self-healing automation
  • • Performance optimization
Deliverables:
  • • Complete AI testing framework
  • • Case study documentation
  • • Video demonstration
  • • Future-ready resume

Enroll Now

Duration:5 weeks
Level:Advanced
Prerequisites:Testing Experience
Enroll NowView Syllabus