LangGraph Mastery: Develop LLM Agents with LangGraph

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Andrei Dumitrescu

2:45:23

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1. Getting Started

1. Course Prerequisites.mp4

02:38

2. Course Resources.html

2. Building a Simple ReAct Agent from Scratch

1.1 2210.03629v3.pdf

1. Introduction to Agents and ReAct.mp4

04:18

2. Creating the Agent Class.mp4

02:41

3. Creating the ReAct Prompt.mp4

02:30

4. Creating the Tools.mp4

02:41

5. Testing the Agent.mp4

06:06

6. Automating the Agent.mp4

06:59

7. Project Source Code.html

3. Building with LangGraph

1.1 Flow Engineering with LangChainLangGraph and CodiumAI.html

1. LangGraph Concepts and Core Components.mp4

05:40

2. Building a ChatBot.mp4

05:30

3. Visualizing the Graph.mp4

02:15

4. Running the ChatBot.mp4

01:33

5. Tavily AI.mp4

08:29

4. Reflection - Tweet Generator

1. Intro to Reflection.mp4

02:12

2. Generate.mp4

04:15

3. Reflect and Repeat.mp4

02:33

4. Define the Graph - Part 1.mp4

03:44

5. Define the Graph - Part 2.mp4

02:49

6. Running the App.mp4

03:54

7. Project Source Code.html

5. LangSmith Platform for Building Production-grade LLM Apps

1. LangSmith.mp4

03:27

2. Setting up LangSmith.mp4

01:54

3. Tracing with LangSmith.mp4

06:18

4. Tracing the Reflection Agentic App with LangSmith.mp4

03:49

5. Project Source Code.html

6. Reflexion - Essay Writer

1. Project Overview.mp4

01:45

2. Defining the AgentState and the Prompts.mp4

07:37

3. Implementing the Agents and the Nodes.mp4

09:38

4. Defining the Conditional Edge.mp4

01:26

5. Defining the Graph.mp4

04:24

6. Running the Agentic App.mp4

04:06

7. Tracing the App with LangSmith.mp4

02:50

8. Project Source Code.html

7. [Appendix] Object Oriented Programming in Python

1. README.html

2. Intro to Object Oriented Programming (OOP).mp4

05:45

3. OOP Demonstration The Turtle.mp4

12:48

4. Defining Classes and Objects.mp4

03:30

5. The init Method.mp4

07:45

6. The del Method.mp4

02:19

7. Instance Attributes and Class Attributes.mp4

06:06

8. Magic Methods.mp4

09:09

9. Python OOP Cheat Sheet.html

8. BONUS SECTION

1. Congratulations.html

2. BONUS THANK YOU GIFT!.html

Description

Unleash the Power of AI Agents with LangChain and LangGraph - the New Frontier in AI

What You'll Learn?

How to create a ReAct agent from scratch.
Gain a good understanding of LangGraph concepts and core components.
Implement advanced agents.
Dive deep into nodes, edges, and conditional edges.
Learn about Tavily AI and agentic search.
Understand LLM patterns such as reflection and reflexion.
Explore LangSmith and learn how to debug and trace LLM applications with it.
Learn about flow engineering.
This will be a learning-by-doing experience. Together, we'll build agentic LLM apps step-by-step, line-by-line.
Projects: 1. Create a ReAct agent from scratch 2. Develop a ChatBot app using LangGraph 3. Build a Tweet generator using reflection 4. Create an essay writer.

Who is this for?

Software Developers aiming to build Generative AI applications using LangChain and LangGraph.

Enthusiasts who want to explore the new frontier of LLM agents.

What You Need to Know?

This course is not for beginners. Good knowledge of Python and LangChain is required.

Proficiency in Python and LangChain, including knowledge of flow control, data structures, functions, type annotations, OOP, environment variable management, OpenAI ChatCompletions API, Prompt Templates, Chains, and Output Parsers.

More details

Description
Welcome to this brand new course on LangGraph, which allows us to build agentic LLM applications!
By the end of this course, you will be equipped with the skills to seamlessly integrate LLM agents into your applications, opening up new possibilities and horizons.

We are witnessing a rapid ascent in AI capabilities, with groundbreaking advancements occurring annually. This swift progress has the potential to significantly reshape our world in the coming years.

Three pivotal advancements are poised to make a profound impact: Infinite Context Windows, Text to Action, and Agents.
Agents: The New Frontier in AI
Agents are autonomous intelligent entities designed to perform tasks, process information, and interact within a language-based framework. These agents are significantly expanding the potential of AI across various domains.

Agentic AI is revolutionizing industries, offering enhanced applications in fields such as legal document analysis, medical diagnostics, and software development. Imagine an army of skilled programmers working around the clock to develop software solutions for you.

In this course, we will delve into LangGraph, an extension of LangChain specifically designed for agent and multi-agent workflows. LangGraph enables highly customizable and controllable agent flows, ideal for complex scenarios.
We will also explore LangSmith, a platform for tracing and debugging your production-grade LLM applications.

Course Highlights:
Building a Simple ReAct Agent from Scratch
Introduction to Agents and ReAct
LangGraph concepts and core components
Nodes, edges, conditional edges, and state management
Visualizing the graph
Agentic search using Tavily AI
Enhancing agents with tool observation
Adding memory to agents
Patterns: reflection and reflexion
Setting up LangSmith
Debugging and tracing LLM apps with LangSmith

Hands-On Projects:
Create a ReAct agent from scratch.
Develop a ChatBot app using LangGraph.
Build a Tweet generator using the reflection pattern.
Create an essay writer using reflexion, Tavily AI, and tool observation.

Are you ready to dive into this exciting new world of AI? Enroll in this LangGraph mastery course and transform the way you integrate AI into your applications!
Looking forward to seeing you in the course!
Who this course is for:
Software Developers aiming to build Generative AI applications using LangChain and LangGraph.
Enthusiasts who want to explore the new frontier of LLM agents.

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Artificial Intelligence

Andrei Dumitrescu

Instructor's Courses

I've been a Network and Software Engineer for over 15 years, the typical profile of a DevOps Engineer.I've co-founded Crystal Mind Academy, a Cisco Academy and professional training center in Romania, that focuses on teaching cutting-edge technologies to students.I have contributed to education in the areas of programming, information security, and operating systems. During the last 15 years, more than 200,000 students have participated in in-person or online training programs at Crystal Mind Academy.I have developed documentation, labs, and case studies for many training programs such as Cisco CCNA, CCNA Security, CCNP, Linux Administration, Information Security, Python Programming, Network Automation with Python or Blockchain Programming (Ethereum/Solidity) which have been successfully attended by thousands over the years.When I'm not working, I crossfit, read a good book, enjoy a good time or travel with my wife and children.

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