Edumall Preloader

Learn How to Test Smarter with AI Across the Software Lifecycle

About This Course

The future of QA is AI-driven — and this course equips you with the exact skills, tools, and mindset to get there.
In just a few lessons, you’ll learn how to integrate Artificial Intelligence into every stage of the Software Development and Testing Lifecycle (SDLC & STLC) — transforming the way you write test cases, detect defects, automate scripts, and analyze performance.

Whether you’re a manual tester, automation engineer, or QA lead, this course will help you test smarter, faster, and more reliably using free and practical AI tools.

Tags

Learning Objectives

By completing this course, you will be able to:
Apply AI in every stage of SDLC & STLC to improve quality and speed.
Use AI-powered tools to generate test cases, bug reports, and documentation.
Enhance automation stability with self-healing and predictive testing tools.
Analyze defect patterns and performance data using AI insights.
Prompt AI models effectively to get accurate and useful test outputs.
Maintain data privacy and security when using AI testing tools.
Explore over 30+ AI-powered testing tools for real-world QA projects.

Material Includes

  • Step-by-step video tutorials & practice labs
  • Downloadable test data & AI tool setup guides
  • Course slides (PDF)
  • Certificate of completion

Requirements

  • Basic understanding of software testing (manual or automation)
  • A computer with Chrome browser and internet connection
  • Free accounts for tools like:
  • ChatGPT (or similar LLM tool)
  • Testim (for AI self-healing demo)
  • Postman (for API AI testing)
  • Google Colab or Hugging Face (for model training demos)
  • Willingness to explore and experiment with AI-powered QA workflows

Target Audience

  • This course is perfect for:
  • Manual testers looking to upgrade to AI-powered testing
  • Automation engineers who want smarter, self-healing test frameworks
  • QA analysts, leads, and managers seeking data-driven insights and defect prediction
  • Tech professionals exploring AI integration in testing workflows
  • Students and career switchers aiming to stand out as next-generation QA professionals

Curriculum

7 Lessons

Chapter 1 – Introduction to AI in Software Development & Testing

Introduction to AI in Software Development & Testing00:31:10

Chapter 2 – AI in Software Development Life Cyle (SDLC) Stages

Chapter 3 – AI in Software Testing Life Cycle (STLC) Stages

Chapter 4 – Practical Examples of AI in Testing

Chapter 5 – Prompting for QA

Chapter 6 – Handling Data Privacy and Security in AI-Driven Testing

Chapter 7 – AI Testing Tools (30+)

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Your Instructors

Qace Academy

4.95/5
21 Courses
60 Reviews
96 Students
See more

Oluwatobi Fagbohungbe

QA Engineer | Founder

0/5
11 Courses
0 Reviews
0 Students

Dedicated and results-driven Quality Assurance Engineer with over 10 years of experience in software testing and quality assurance. Proven track record of designing and implementing comprehensive test strategies to ensure the delivery of high-quality software products. Seeking to leverage my expertise in QA methodologies, automation, and team leadership to contribute to the success of the company i am part of thereby enhancing product quality and customer satisfaction.

See more
How Testers Can Use AI to Enhance Testing in SDLC & STLC (8)

 28,633.00

Level
All Levels
Lectures
7 lectures

Material Includes

  • Step-by-step video tutorials & practice labs
  • Downloadable test data & AI tool setup guides
  • Course slides (PDF)
  • Certificate of completion

Don't have an account yet? Sign up for free