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Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP

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AI Agents · Online Course

Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP Reviews & Product Details

The "Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP" course is designed for developers, software engineers, and AI enthusiasts who want to transition from basic prompt engineering to building sophisticated, autonomous AI agents. Guided by TechLynk, this comprehensive bootcamp dives deep into the architecture of multi-agent systems, equipping learners with the skills to orchestrate collaborative workflows using cutting-edge frameworks. You will master critical agentic design patterns, including planning, reasoning, memory retention, and tool usage. The curriculum covers LangGraph for stateful multi-agent coordination, CrewAI for role-based agent collaboration, and Anthropic's Model Context Protocol (MCP) to standardize external tool integration. Through practical, hands-on projects, students will build real-world systems such as autonomous research assistants, automated coding agents, and human-in-the-loop validation pipelines. By the end of this program, participants will know how to connect LLMs to databases, APIs, and the live web, transforming static models into dynamic, production-ready digital workers capable of solving complex enterprise challenges.

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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