The Masterclass to Get Up to Speed on AI Through the Lens of Testing | Claude, Copilot, MCP, n8n, Subagents & Playwright
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|---|---|---|---|---|
| RAHULSHETTY2510 | 28% off | Expired | 20d 7h |
Demonstrates practical applications of GitHub Copilot for code optimization and n8n for business-oriented automation workflows.
Covers the construction of agents using Model Context Protocol (MCP) to interact with databases, APIs, and file systems.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This syllabus outlines the course structure, covering generative AI for testing, AI agents for automation, and tools like Selenium and GitHub Copilot.
This educational slide defines key artificial intelligence concepts, distinguishing between foundational language models, interactive assistant tools, and autonomous agents.
Content focuses heavily on basic prompting and tool usage, which may feel trivial to experienced automation engineers. This signal predates the displayed update; the update may have addressed it, but the update label does not prove a correction.
One signal indicates that specific installation methods, such as npm commands for Claude Code, may be deprecated. This review predates the displayed update; the update may have addressed it, but the update label does not prove a correction.
Certain technical processes, specifically agent creation via MCP, lack clear explanation. This signal predates the displayed update; the update may have addressed it, but the update label does not prove a correction.
The curriculum aligns well with beginners but may not meet the expectations of more experienced technical profiles.
