Learning AI
Learn AI faster with three paths: theory-first student, power-user workflows, and builder tooling. Understand LLM fundamentals, prompting, agents, and how to connect them.
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Agentic Testing - The New Testing Approach
Discover agentic testing: how AI agents can test applications through white-box code analysis and black-box exploration using Playwright MCP, Chrome DevTools MCP, and terminal tools. Learn practical examples with Java Spring Boot and React, explore benefits and challenges, and see how coding agents are becoming testing agents.
Read more: Agentic Testing - The New Testing ApproachPlaywright MCP - Security Best Practices
Comprehensive guide to securing your Playwright MCP test automation, covering authentication handling, credential management, secure test data practices, and protecting against common security vulnerabilities in automated testing.
Read more: Playwright MCP - Security Best PracticesBuilding RAG with Gemini File Search
Learn how to build and test a practical RAG workflow with Gemini File Search, including managed retrieval, grounding checks, and implementation trade-offs.
Read more: Building RAG with Gemini File SearchTesting LLM-based Systems
Learn practical strategies to test and validate Large Language Model (LLM) systems. Discover how to ensure reliability, evaluate AI outputs, and maintain quality in real-world LLM-powered applications.
Read more: Testing LLM-based Systems