Explore subscriber-only tutorial tracks curated from the K11 Tech Lab, spanning AI-driven development, full stack application engineering, and advanced test automation. Each module is crafted to deliver applied, production-grade knowledge across agentic automation, AI assurance, and modern evaluation practices.
Master LLMs, prompt engineering, AI-assisted test generation, self-healing locators, and building an AI-first QA strategy with flashcards, MCQs, and code examples.
Learn AI agent concepts for QA teams, including agent workflows, test planning prompts, automation use cases, and practical examples for modern testing pipelines.
Build the MCP browser server foundation for agentic browser automation using WebDriver BiDi, with the first-step architecture, setup flow, and implementation guidance.
Compose multiple MCP servers into a cohesive agent pipeline, exploring multi-agent orchestration patterns, inter-server communication, and end-to-end agentic browser automation workflows.
Explore AI assurance principles for quality teams, including model validation, risk controls, responsible AI checks, and practical QA workflows for trustworthy AI systems.
Deep dive into observability, tool call testing, benchmarks, regression testing, security, and production monitoring for multi-agent AI pipelines.
Learn adversarial probing techniques for LLMs, including prompt injection, jailbreaking, data exfiltration, and structured red team frameworks for AI safety validation.
