At a Glance

Name: LangGraph 101: Learn to Build Agentic Workflows
Price: Free CAD
Rating: 0.0 (0 reviews)
Author: karan_goswami, kunal_makwana, faranak_heidari, joseph_santarcangelo, wilbur_elbouni

Create agentic workflows with LangGraph by learning key components like nodes, states, edges, and conditional edges through a user authentication use case. Learn how to design AI workflows that adapt to real-time inputs and manage state-driven logic effectively. You’ll explore how to code success and failure scenarios, build dynamic decision-making systems, and create workflows tailored to diverse conditions. Perfect for developers and AI enthusiasts, this project focuses on equipping you with practical skills to design flexible, autonomous AI systems for real-world applications.

Learn to implement agentic workflows with LangGraph and discover how to build intelligent AI agents capable of making dynamic, context-aware decisions. This guided project will walk you through the core components of LangGraph, including nodes, states, edges, and conditional edges, to help you create flexible and autonomous systems. You’ll learn how to design and implement sophisticated workflows, such as user authentication systems, that adapt to different scenarios based on success, failure, or conditional logic.

Through hands-on exercises, you’ll gain a deep understanding of how each component works and how to connect them to design seamless decision-making workflows. Whether you’re managing state transitions, setting up dynamic conditions, or creating failure-handling mechanisms, this project will empower you to create advanced AI systems with high levels of flexibility and autonomy.

What You’ll Learn

LangGraph Essentials: Understand the key components—nodes, states, edges, and conditional edges—that power decision-making in AI systems.
Dynamic Workflows: Learn how to build user authentication systems and other workflows with flexible decision logic, tailored to different user states and conditions.
State-driven Logic: Explore how to manage state transitions and conditional logic to ensure smooth execution of tasks, handling both success and failure scenarios.
Building Autonomous Systems: Develop skills to create autonomous agents that adapt based on real-time inputs, making intelligent decisions that reflect changing conditions.

Why It Matters
LangGraph represents a powerful framework for building AI agents with robust decision-making capabilities. By mastering LangGraph, you will:

Design Flexible Workflows: Create intelligent systems that react and adapt to user input and evolving scenarios.
Enable Autonomous Systems: Build systems capable of acting independently, managing success, failure, and conditions based on real-time data.
Enhance Decision-making: Make data-driven decisions by integrating dynamic decision logic and understanding the flow of information between nodes, states, and edges.

Who Should Register
This guided project is ideal for:

Developers: Those interested in building intelligent AI systems that require dynamic decision-making.
AI Enthusiasts: Anyone looking to deepen their understanding of AI workflows and how to build flexible, autonomous systems.
Software Engineers: Developers working on user authentication or similar workflows that require decision-based logic and state management.

What You’ll Need
Before starting this project, ensure you have the following:

Basic Programming Knowledge: Familiarity with basic programming concepts will be helpful, especially in Python.
Understanding of Decision-making: While prior experience with decision-making workflows is a plus, it’s not required.
A Computer with a Modern Browser: Chrome, Edge, Firefox, or Safari to run and interact with the project tools.

What You’ll Build
By the end of this guided project, you will have:

Mastered LangGraph: A deep understanding of how to build and connect the essential components of LangGraph for creating AI workflows.
Built Dynamic Workflows: Created user authentication workflows that handle success and failure scenarios and adapt to changing conditions.
Developed Autonomous Systems: Gained hands-on experience in designing systems that make real-time decisions based on data inputs and conditions.

Embark on this exciting journey with LangGraph to build intelligent AI agents that think, adapt, and make decisions in real-time. Elevate your AI development skills and start building dynamic decision-making systems today!

Offered By: IBMSkillsNetwork

LangGraph 101: Learn to Build Agentic Workflows

At a Glance