- Course overview
- Course details
- Prerequisites
Course overview
About this course
This course equips you with in-demand AI skills to meet industry standards and stand out in software testing. Learn to integrate AI and machine learning into testing to automate tasks, predict defects, and optimize performance. Use AI tools to speed up defect detection, improve software quality, and reduce manual errors.
Audience profile
- QA Professionals
- Software Testers
- Developers
- Data Scientists
- Tech Managers
Course details
Module 1: Introduction to Quality Assurance (QA) and AI
Module 2: Fundamentals of AI, ML, and Deep Learning
Module 3: Test Automation with AI
Module 4: AI for Defect Prediction and Prevention
Module 5: NLP for QA
Module 6: AI for Performance Testing
Module 7: AI in Exploratory and Security Testing
Module 8: Continuous Testing with AI
Module 9: Advanced QA Techniques with AI
Module 10: Capstone Project
Prerequisites
- Basic knowledge of Python and familiarity with software testing lifecycle and tools.
- Basic knowledge of Quality Assurance principles and practices.
- Foundational knowledge of machine learning concepts is beneficial but not mandatory.
Enquiry
Course : AI+ Quality Assurance
Enquiry
request for : AI+ Quality Assurance
