TechLynk Selenium | DevOps | GenAI | Cloud

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

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    AI Agents · Online Course

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    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.

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    TechLynk Selenium | DevOps | GenAI | Cloud

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    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…Show more

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    Program Overview

    Online Course

    Learning format

    AI Agents

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Master Agentic AI concepts: Planning, Reasoning, Tool Use, and Memory.
    • Build complex stateful workflows using LangGraph and LangChain.
    • Create Multi-Agent Systems where AI agents collaborate using CrewAI and AutoGen.
    • Implement Anthropic's MCP (Model Context Protocol) to standardise agent tool use.
    • Connect LLMs to the internet, databases, and APIs using Function Calling.
    • Develop robust agents with Human-in-the-loop approval workflows.
    • Deploy 8 Real-World Projects including Research Assistants and Coding Agents.

    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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