AI Testing

Learn to test AI systems and leverage AI for automated testing. This course covers both testing OF AI and testing WITH AI, preparing you for the future of quality assurance.

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Module 1: Fundamentals of AI Testing
  • AI/ML Basics for Testers
  • Types of AI Systems
  • Testing Challenges
  • Test Strategy
  • Data Quality Testing
  • Model Validation
  • Performance Metrics
  • Regression Testing
  • Self-Healing Tests
  • Visual AI Testing
  • Intelligent Test Generation
  • Tools Overview
  • Bias Detection
  • Fairness Testing
  • Security Testing
  • Explainability Testing

ML Model Testing Suite

Build a comprehensive test suite for a machine learning model

AI-Powered Test Automation

Implement self-healing tests using AI tools

Capstone: Full AI Testing Pipeline

Design and implement an end-to-end AI testing strategy

Placement Assistance

Resume Building

Professional resume review and optimization

Mock Interviews

Practice with industry-style interviews

Job Referrals

Direct referrals to hiring partners

Certifications

Akshata IT Certificate

Course Completion

Industry Certification

Exam Preparation

IBM Partner Certificate

Premium Track

Is coding required?
Basic Python knowledge is required for this course.
Some QA/testing background is helpful but not mandatory.
Industry-leading AI testing tools like Testim, Mabl, and Applitools.

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