AI-Powered QA Automation: Building Testing Agents with Claude and Copilot
Learn how to leverage modern AI tools and agentic workflows to automate test generation, write resilient scripts, and accelerate your quality engineering career.
-
๐ฌ
AI instructor
Ask about any lesson and get a clear answer instantly, anytime. -
๐
Start anytime
No schedules or deadlines โ learn at your own pace, whenever suits you. -
๐
In English
Lessons, tasks and certificate โ all fully in your language.
About this course
AI is transforming software testing from manual scripting to intelligent, agent-driven automation. Quality engineers who understand how to collaborate with AI agents can deliver faster, more reliable test coverage with significantly less manual effort.
This text-based course guides you through the fundamentals of generative AI and agentic workflows specifically tailored for modern software testing. You will transition from writing basic test scripts to designing intelligent testing systems that can analyze requirements, generate robust test suites, and self-heal failing automation pipelines.
What you'll learn:
- Understand foundational AI testing concepts, including token limits, context windows, and secure prompt engineering for QA.
- Generate comprehensive test plans, strategies, and test data combinations directly from business requirements using AI.
- Accelerate automation development and debug code issues efficiently using Copilot inside your development environment.
- Build agentic QA workflows using the Model Context Protocol (MCP) to interact with databases, APIs, and local files.
- Design specialized testing agents using Claude Code to analyze project documentation, run test suites, and fix failed assertions.
- Configure multi-agent collaboration and low-code workflows with n8n to connect testing pipelines with project management tools.
The journey begins with essential terminology, privacy considerations, and core prompt engineering techniques for software testing. From there, you will read through step-by-step written explanations and practical code examples to build, run, and orchestrate AI agents for real-world quality assurance scenarios.
This course is designed for beginner QA engineers, manual testers looking to transition to automation, and developers wanting to integrate AI into their quality assurance processes. No prior experience with AI agents or advanced programming is required.
Start reading today and evolve your testing workflow with the power of agentic AI.
What you'll get
-
๐
Certificate of completion
Add it to your LinkedIn profile -
๐ฌ
Personal AI tutor
Stuck on a lesson? Ask your built-in tutor anything, any time. -
โพ๏ธ
Lifetime access
Come back anytime, no expiry -
๐ฑ
Phone or computer
Works anywhere, any device -
๐ธ
14-day refund
No questions asked -
โก
Short & focused
2h 30m of practical content
Reviews
No reviews yet โ be the first to share your experience.
Learners also took
โก Best to start
๐ With certificate
Agentic AI Development with LangGraph and LangChain
Certificate
Hands-on
13,99 โฌ
→
โก Best to start
๐ With certificate
No-Code AI Automation: Build Chatbots and Launch an Agency
Certificate
Hands-on
13,99 โฌ
→
๐ With certificate
Building RAG Systems and AI Agents with Python and OpenAI
Certificate
Hands-on
13,99 โฌ
→
๐ฅ In demand
๐ With certificate
Prompt-Driven Development: Build Full-Stack Next.js Apps with Cursor AI
Certificate
Hands-on
13,99 โฌ
→
Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
Built for learners in
Tech
Design
Finance
Marketing
Healthcare
Education
Hospitality
Manufacturing