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K11 Tech Lab · Production-Grade Learning
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.
Start with these free tutorials to understand the structure and orientation of our premium paid tutorial tracks.
Explore the foundations of AI-driven full stack application development, covering modern tech stacks, architectural patterns, tooling choices, and the engineering principles behind production-grade AI applications.
Learn core web UI testing concepts including element interaction, validation strategies, synchronization, assertions, and reliable end-to-end quality checks for modern interfaces.
Master REST API testing principles, request strategies, response validation, and building comprehensive API test automation.
Learn microservices testing essentials including service contract testing, integration strategies, resilience validation, and end-to-end quality checks across distributed systems.
Explore database testing including SQL validation, data integrity checks, stored procedure testing, and strategies for ensuring reliable data-driven applications.
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.
Decision Guide · AI Integration · Selenium · Playwright · Cypress · Puppeteer · WebdriverIO · UFT & more. Compare browser automation tools and pick the right stack for your QA workflow.
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.
Deep dive into the WebDriver BiDi protocol — mastering event subscriptions, network interception, script execution contexts, and advanced patterns for production-grade agentic browser automation.
Apply everything end-to-end with real production pipeline patterns: orchestration, observability, performance, accessibility audits, and operational hardening.
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.
