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
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Ingenium Academy
#1 place for math & science education online.
Rating Distribution
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- 3 stars: 1 votes
- 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!
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