Best For
Software engineers looking to move beyond simple LLM wrappers to autonomous agent systems. Developers familiar with Python who want to master orchestration frameworks like LangGraph and CrewAI. AI practitioners building production-ready, stateful workflows that require memory and tool integration. Engineers interested in implementing the Model Context Protocol to standardize agent-tool connectivity.
Not For
Complete beginners to programming who have not yet mastered Python or basic LLM APIs. Those looking for a non-technical overview of AI theory without hands-on coding requirements. Developers focused exclusively on basic prompt engineering or UI-only AI chat applications.
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About the Creator
Anshul Chauhan, leading TechLynk, is a seasoned IT professional and educator specializing in modern software automation, DevOps pipelines, Generative AI integration, and Cloud systems. He bridges the gap between traditional testing methodologies and cutting-edge artificial intelligence. In his comprehensive courses, such as 'Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP' and 'Selenium Automation Testing with Java + AI,' Anshul focuses on hands-on, project-based learning. He teaches software developers and QA engineers how to transition from legacy test automation to intelligent, AI-driven workflows. By integrating tools like Java, Selenium, LangGraph, CrewAI, and Model Context Protocol, he prepares technical professionals for the future of engineering. His instructional style emphasizes real-world application, step-by-step code demonstrations, and architecting robust systems that scale seamlessly. Rather than just teaching theory, Anshul guides students through designing autonomous AI agents and modern CI/CD test pipelines, ensuring they gain practical, job-ready skills to thrive in an evolving tech landscape. His comprehensive approach empowers engineers to confidently lead digital transformation initiatives.
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