Skills you will learn

  • Understanding LangGraph and Its Core Concepts
  • Working with Nodes and Edges in LangGraph
  • LLM Architecture and Adoption for Workflow Automation
  • Key Execution Features of LangGraph
  • Design Patterns in LangGraph
  • Building Automated Workflows with LangGraph Agents
  • Applying LangGraph in Real-World Use Cases

Who should learn

  • Beginners
  • Software Developers
  • AI Engineers
  • Data Scientists
  • DevOps Engineers
  • Product Managers
  • Students

What you will learn

  • Workflow Automation Course with LangGraph Agents

    • Lesson 01: Introduction

      02:27
      • 1.01 Course Introduction
        02:27
    • Lesson 02: Introduction to LangGraph

      06:44
      • 2.01 What Is LangGraph
        02:18
      • 2.02 Key Features and Analogy of LangGraph
        02:55
      • 2.03 LangGraph Workflows and Agents
        01:31
    • Lesson 03: Introduction to Nodes and Edges

      04:59
      • 3.01 Nodes and Edges in LangGraph Workflow
        04:59
    • Lesson 04: Introduction to LLM Architecture and Adoption

      17:16
      • 4.01 Introduction to LLM Agentic Architecture and Adoption​
        06:33
      • 4.02 LLM Agent Workflow​
        02:47
      • 4.03 Collaborative Structure of LLM Agents​
        03:51
      • 4.04 Strategic Imperative of LLM Agent Adoption​
        04:05
    • Lesson 05: Key Execution Features of LangGraph

      55:37
      • 5.01 Key Execution Features of LangGraph
        03:17
      • 5.02 Prompt Chaining in LangGraph
        03:35
      • 5.03 Procedural Setup for Demos
        03:31
      • 5.04 Demo LangGraph Prompt Chaining for Automated Product Descriptions
        13:04
      • 5.05 Parallel Execution in LangGraph
        03:04
      • 5.06 Demo Parallel AI Content Generation with LangGraph
        10:05
      • 5.07 Routing and Conditional Execution in LangGraph
        03:23
      • 5.08 Demo Intelligent Routing for AI Story Generation with LangGraph
        11:18
      • 5.09 Orchestration and Optimization in LangGraph Workflows
        04:20
    • Lesson 06: Patterns in LangGraph

      41:57
      • 6.01 Augmented LLMs
        03:14
      • 6.02 Demo LangGraph Augmented LLM Smart Search Optimization ​
        11:16
      • 6.03 Understanding LangGraph Agents
        03:00
      • 6.04 Demo End to End Automated Client Inquiry Workflow Part 1
        13:46
      • 6.05 Demo End to End Automated Client Inquiry Workflow Part 2
        10:41
    • Lesson 07: Key Takeaways

      01:26
      • 7.01 Key Takeaways
        01:26
About the Course

If you want to build smart, automated workflows using AI agents, this course is a great starting point. You'll get hands-on experience with LangGraph, a top tool for agent-based workflow automation. This course covers basics like nodes and edges, and walks you through key features and design patterns. Whether you're a developer looking to grow your AI skills or a professional interested in workflow automation, you'll learn what you need to use LangGraph confidently.

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FAQs

  • Is this course free?

    Yes, this course is completely free of charge. You can access all lessons without any payment and still receive a professional certificate upon successful completion.

  • Is this course beginner-friendly?

    Yes, this course is designed for beginners and assumes no prior knowledge of LangGraph or workflow automation. It introduces all concepts clearly and progressively, making it accessible to anyone who wants to get started with AI-powered automation.

  • Can someone with no prior experience take this course ?

    Understanding Python programming and familiarity with general AI or LLM concepts are helpful but not required, as the course is designed to build your understanding from the ground up.

  • What topics are covered in this course?

    This course covers LangGraph fundamentals, nodes and edges, LLM architecture and adoption, key execution features of LangGraph, and design patterns for building intelligent workflow automation systems.

  • What is LangGraph and why should I learn it?

    LangGraph is a powerful framework built on top of LangChain that allows you to build stateful, multi-step workflows using AI agents. It is quickly becoming one of the most in-demand tools for workflow automation, making it a highly valuable skill for developers and AI professionals.

  • What are nodes and edges in LangGraph?

    Nodes represent individual steps or actions within a LangGraph workflow, while edges define the connections and flow between those steps. Lesson 03 covers nodes and edges in detail, giving you a clear understanding of how LangGraph workflows are structured.

  • Does this course cover LLM architecture?

    Yes, Lesson 04 covers LLM architecture and adoption, explaining how Large Language Models power the intelligent reasoning and decision-making capabilities that make LangGraph agents effective at automating complex workflows.

  • What are design patterns in LangGraph?

    Design patterns in LangGraph are proven approaches and best practices for structuring agent workflows to make them reliable, scalable, and easy to maintain. Lesson 06 covers the most important patterns used by developers and AI engineers when building LangGraph-powered systems.

  • Will this course help me build real workflow automation systems?

    Yes, by the end of this course, you will have a solid understanding of the core concepts, execution features, and design patterns needed to start building your own intelligent workflow automation systems using LangGraph agents.

  • Will I be able to follow this course if I am new to AI agents ?

    Absolutely. This course starts from the very basics of LangGraph and AI agents, so even if you are completely new to the topic you will be able to follow along and build a strong foundation in workflow automation with confidence.

  • How long will it take to complete this course?

    This course is fully self-paced, meaning you can complete it at your own schedule and convenience, learning at a speed that works best for you.

  • Is a certificate provided after completing this course?

    Yes, you will receive a free professional certificate that you can add to your resume or LinkedIn profile to demonstrate your LangGraph and workflow automation skills to potential employers.

  • Is this course accessible on my mobile device?

    Yes, this course is accessible on both desktop and mobile devices, so you can learn anytime, anywhere, at your own pace.

  • How is LangGraph different from other AI frameworks?

    Unlike standard AI frameworks that handle single-step interactions, LangGraph is specifically designed for building stateful, multi-step agent workflows with support for conditional branching, state management, and complex execution patterns, making it uniquely suited for building sophisticated workflow automation systems.

  • Can I add this certificate to my LinkedIn profile?

    Yes, once you complete the course and receive your certificate, you can add it to your LinkedIn profile under the Licenses and Certifications section to showcase your LangGraph expertise to recruiters and employers.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.