LangGraph Mastery: Develop LLM Agents with LangGraph

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.

Requirements
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.

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.

More Info