AIFLX

Library / Artificial Intelligence

AI Agents & MCP Explained for Smarter Software Testing

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About this course

Note: This course contains the use of artificial intelligence to generate the voice-over.

Master AI Agents and the Model Context Protocol (MCP) to supercharge your software testing and automation workflows! This course is designed for software testers, QA engineers, and developers who want to leverage generative AI, agentic AI, and MCP to simplify complex tasks, automate repetitive processes, and gain actionable insights from your tools and data.

In Module 1: Introduction, you’ll understand why MCP is gaining massive attention in the AI and testing ecosystem. Learn what generative AI is, explore the concept of AI Agents, and discover the differences between AI Agents, agentic AI, and traditional automation.

Module 2: Agentic AI in Action dives into real-world applications. Experience GitHub Copilot’s agentic capabilities, fetch and scrape data using Copilot Agent Mode, try custom chat modes, and explore popular AI Agent frameworks to boost productivity and testing efficiency.

In Module 3: Model Context Protocol, gain hands-on experience with MCP. Learn to set up Playwright MCP for accessibility audits, network traffic tracking, console message monitoring, and authenticated session access. Use Chrome DevTools MCP for automated browser debugging, Atlassian MCP to connect Jira & Confluence with GitHub Copilot, MCP Toolbox to query databases without SQL, and Gemini CLI to interact with GitHub MCP servers.

Finally, Module 4: Hands-On With MCP teaches you how to build and test your own MCP server, define custom tools, inspect server connections, and understand how MCP enables AI clients to seamlessly communicate with external systems.

By the end of this course, you’ll be able to create intelligent, automated workflows that save time, reduce errors, and unlock the full potential of AI in your testing and development processes.

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