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.
- Create a Knowledge Base for RAG from Scratch
- 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.
- Master Project 5: Build a Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, and Google SerpAPI
- Learn how to build a complex agentic LLM app step by step.
Welcome to this brand new course on LangGraph, which allows us to build agentic LLM applications. Unleash the Full Potential of AI with LangGraph & LangChain!
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.
What You'll Learn:
Master LangGraph: Explore nodes, edges, and state management for advanced agent workflows.
LangChain Integration: Connect LLMs to real-world tools for powerful multi-agent applications.
Develop Autonomous Agents: Build agents that can observe, reflect, and improve with memory and tool observation.
RAG & Embeddings: Implement Retrieval-Augmented Generation (RAG) with Pinecone for enhanced search capabilities.
Debug & Scale: Use LangSmith to debug and trace production-grade AI applications.
Why Enroll in This Course?
Cutting-Edge Skills: You'll master LangGraph and LangChain, tools at the forefront of AI development.
Practical Applications: Build real-world AI solutions that can be integrated into businesses, research, and more.
Step-by-Step Guidance: Whether you're experienced in AI or just getting started, our comprehensive tutorials will guide you through each project.
Join the AI Revolution: The demand for AI professionals is skyrocketing—position yourself at the forefront by mastering these critical technologies.
Hands-On Projects:
ReAct Agent from Scratch: Build a fully functional agent with LangGraph.
Custom Chatbot: Develop an intelligent chatbot powered by LangChain.
Content Generation Tools: Create AI tools that generate essays, tweets, and more using LangGraph’s reflection pattern.
Master Project: Build a robust research agent integrating GPT-4, Pinecone, ArXiv, and Google SerpAPI.
Ready to build AI agents that can transform industries? Enroll now and take your AI development skills to the next level with LangGraph!
Looking forward to seeing you in the course!
