LangGraph- From Basics to Advanced AI Agents with LLMs

LangGraph: From Basics to Advanced AI Agents with LLMs, available at Free, has an average rating of 4.17, with 18 lectures, based on 6 reviews, and has 613 subscribers.

You will learn about Software Engineers looking to build Generative AI applications with LangGraph. Data Scientists looking to build Generative AI applications with LangGraph. Learners looking to further their knowledge beyond LangChain. Generative AI enthusiasts looking to learn the latest methods for building AI agents. This course is ideal for individuals who are Developers, Data Scientists, AI Engineers, and Enthusiasts looking to learn how to build AI Agents in LangGraph It is particularly useful for Developers, Data Scientists, AI Engineers, and Enthusiasts looking to learn how to build AI Agents in LangGraph.

Enroll now: LangGraph: From Basics to Advanced AI Agents with LLMs

Summary

Title: LangGraph: From Basics to Advanced AI Agents with LLMs

Price: Free

Average Rating: 4.17

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Software Engineers looking to build Generative AI applications with LangGraph.

Data Scientists looking to build Generative AI applications with LangGraph.

Learners looking to further their knowledge beyond LangChain.

Generative AI enthusiasts looking to learn the latest methods for building AI agents.

Who Should Attend

Developers, Data Scientists, AI Engineers, and Enthusiasts looking to learn how to build AI Agents in LangGraph

Target Audiences

Developers, Data Scientists, AI Engineers, and Enthusiasts looking to learn how to build AI Agents in LangGraph

Embark on a comprehensive journey into the world of AI agents with LangGraph. This course is designed to guide you from fundamental concepts to advanced techniques, equipping you with the skills to build sophisticated AI systems. Starting with the core principles, you’ll learn about graphs, nodes, edges, and states, and see how they form the foundation of LangGraph workflows. The course begins with constructing a basic agent, allowing you to grasp the essentials through hands-on practice.

Next, you’ll dive deeper by building a News Writer Agent, enhancing your understanding by integrating state and tools into your agents. The focus will be on practical applications, ensuring you can visualize and test your agents effectively. Finally, the course introduces advanced techniques, including reflection, human-in-the-loop processes, checkpointers, and threads. You’ll also learn to incorporate custom tools, adding versatility and functionality to your agents. Whether you’re a beginner or looking to advance your skills, this course provides a structured, step-by-step approach to mastering AI agent development with LangGraph.

The goal of this course is to equip you with the understanding and skills you need to build your own agents.There are plenty of off-the-shelf agents available via LangGraph and other resources. However, in our experience, when building agents for production you will need to be able to customize. At the end of this course, it is our goal to make sure that you are capable of building your own custom workflows in LangGraph.

Note:Prior python programming experience and some experience with LangChain are required for this course.

Course Curriculum

Chapter 1: LangGraph Core Concepts

Lecture 1: What Is LangGraph?

Lecture 2: Drafting Our First Agent

Lecture 3: Creating The Agents State

Lecture 4: Building Our Nodes

Lecture 5: Note on Conditional Edges & Routing Functions

Lecture 6: Building Our Edges

Lecture 7: Compiling Our Graph & Testing It

Lecture 8: Section Notebook – LangGraph Core Concepts

Chapter 2: Building a News Writer Agent

Lecture 1: Outlining Our News Writer Agent

Lecture 2: Defining State & Tools

Lecture 3: Defining Nodes

Lecture 4: Adding Edges & Compiling Our News Writer Graph

Lecture 5: Testing Our News Writer Agent

Lecture 6: Section Notebook

Chapter 3: Adding Advanced Capabilities to our Agent

Lecture 1: Adding Reflection to Our News Writer Agent

Lecture 2: Human-In-The-Loop

Lecture 3: Building Custom Tools in LangGraph

Lecture 4: Section Notebook

Instructors

Ingenium Academy
#1 place for math & science education online.

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4 stars: 4 votes

5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!