AI+ Quality Assurance

Hours: 40 / Access Length: 12 Months / Delivery: Online, Self-Paced
Online Hours: 40
Retail Price: $495.00

Course Overview:

Master the next generation of quality assurance by gaining hands-on experience with AI-powered testing tools and intelligent automation to streamline defect detection and performance testing. This comprehensive, industry-aligned course is specifically designed to fast-track your QA career, providing you with the technical edge needed to lead in an increasingly automated tech landscape.

Recommended Prerequisites:

• Programming Skills: Basic knowledge of Python and familiarity with software testing lifecycle and tools.
• Basics of QA: Basic knowledge of Quality Assurance principles and practices.
• Basics of AI: Foundational knowledge of machine learning concepts is beneficial but not mandatory.

Course Outline:

Lesson 1: Introduction to Quality Assurance (QA) and AI

• 1.1 Overview of QA
• 1.2 Introduction to AI in QA
• 1.3 QA Metrics and KPIs
• 1.4 Use of Data in QA

Lesson 2: Fundamentals of AI, ML, and Deep Learning

• 2.1 AI Fundamentals
• 2.2 Machine Learning Basics
• 2.3 Deep Learning Overview
• 2.4 Introduction to Large Language Models (LLMs)

Lesson 3: Test Automation with AI

• 3.1 Test Automation Basics
• 3.2 AI-Driven Test Case Generation
• 3.3 Tools for AI Test Automation
• 3.4 Integration into CI/CD Pipelines

Lesson 4: AI for Defect Prediction and Prevention

• 4.1 Defect Prediction Techniques
• 4.2 Preventive QA Practices
• 4.3 AI for Risk-Based Testing
• 4.4 Case Study: Defect Reduction with AI

Lesson 5: NLP for QA

• 5.1 Basics of NLP
• 5.2 NLP in QA
• 5.3 LLMs for QA
• 5.4 Case Study: Using NLP for Bug Triaging

Lesson 6: AI for Performance Testing

• 6.1 Performance Testing Basics
• 6.2 AI in Performance Testing
• 6.3 Visualization of Performance Metrics
• 6.4 Case Study: AI in Performance Testing of a Cloud App

Lesson 7: AI in Exploratory and Security Testing

• 7.1 Exploratory Testing with AI
• 7.2 AI in Security Testing
• 7.3 Case Study: Enhancing Security Testing with AI

Lesson 8: Continuous Testing with AI

• 8.1 Continuous Testing Overview
• 8.2 AI for Regression Testing
• 8.3 Use-Case: Risk-Based Continuous Testing

Lesson 9: Advanced QA Techniques with AI

• 9.1 AI for Predictive Analytics in QA
• 9.2 AI for Edge Cases
• 9.3 Future Trends in AI + QA

Lesson 10: Capstone Project

All necessary course materials are included.

System Requirements:

Internet Connectivity Requirements:

• Cable, Fiber, DSL, or LEO Satellite (i.e. Starlink) internet with speeds of at least 10mb/sec download and 5mb/sec upload are recommended for the best experience.

NOTE: While cellular hotspots may allow access to our courses, users may experience connectivity issues by trying to access our learning management system.  This is due to the potential high download and upload latency of cellular connections.   Therefore, it is not recommended that students use a cellular hotspot as their primary way of accessing their courses.

Hardware Requirements:

• CPU: 1 GHz or higher
• RAM: 4 GB or higher
• Resolution: 1280 x 720 or higher.  1920x1080 resolution is recommended for the best experience.
• Speakers / Headphones
• Microphone for Webinar or Live Online sessions.

Operating System Requirements:

• Windows 7 or higher.
• Mac OSX 10 or higher.
• Latest Chrome OS
• Latest Linux Distributions
  

NOTE: While we understand that our courses can be viewed on Android and iPhone devices, we do not recommend the use of these devices for our courses. The size of these devices do not provide a good learning environment for students taking online or live online based courses.

Web Browser Requirements:

• Latest Google Chrome is recommended for the best experience.
• Latest Mozilla FireFox
• Latest Microsoft Edge
• Latest Apple Safari

Basic Software Requirements (These are recommendations of software to use):

• Office suite software (Microsoft Office, OpenOffice, or LibreOffice)
• PDF reader program (Adobe Reader, FoxIt)
• Courses may require other software that is described in the above course outline.