English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 36 lectures (2h 59m) | 2.19 GB
Develop High-Performance, Autonomous, AI Agents, Using LangChain, LangGraph (Python)
Master AI Agent Development: Build Scalable Agents with LangChain & LangGraph
Are you ready to revolutionize your skills and harness the power of AI to develop sophisticated agents?
This course is meticulously designed to elevate your understanding from beginner to advanced, enabling you to create scalable AI agents using LangChain and LangGraph.
Whether you’re a developer, data scientist, or tech enthusiast, this course equips you with the expertise to build high-performance AI agents for a variety of applications.
What You’ll Learn:
- Building AI Agents: Understand the fundamentals of AI agents and their significance in various industries.
- Agents Deep Dive: Explore the core principles, key characteristics, and diverse use cases of AI agents.
- First Simple Agent: Learn to build your first simple AI agent using Large Language Models (LLMs) only.
- Introduction to LangGraph: Delve into LangGraph, understanding its building blocks, main components, and how it empowers the development of sophisticated AI agents.
- Building Agents with LangGraph: Step-by-step guidance on constructing agents using LangGraph, from basic concepts to advanced techniques.
- Comprehensive Financial Report Writer/Researcher Agent: Develop a full-fledged AI agent that gathers, analyzes, and reports financial data, along with performing competitor research to provide actionable insights.
- Advanced Optimization Techniques: Master advanced strategies to ensure your AI agents are efficient, scalable, and high-performing.
Table of Contents
Introduction
1 Introduction
2 Course Structure and the OpenAI Account
3 Demo – What Will You Build in This Course
4 Important Message
Code and Resources
5 Course Source Code
6 Slides
Development Environment Setup
7 OPTIONAL – Python Installation Instructions
AI Agents – Deep Dive
8 AI Agents Deep Dive – A Full Overview
9 Agents Characteristics and Use Cases
10 Building our First AI Agent – Project Setup (OpenAI API)
11 Build our First AI Agent – Creating the Agent Class and Prompt
12 First AI Agent – Running our First Agent and Seeing the Results
13 Passing Complex Queries Through the Agent
14 First Agent – Using a Loop to Automate our Agent
15 Adding Interactive to Our Agent – Console App
16 Section Summary
Build AI Agents with LangGraph – Deep Dive
17 LangGraph – Overview & Key Concepts
18 How LangGraph Helps to Build AI Agents
19 LangGraph Core Concepts – Simple Flow Diagrapm
20 LangGraph – Data and State – Overview
21 Building a Simple Agent with LangChain
22 LangGraph Simple Bot – Streaming Values – Console App
23 Adding Tools to our Basic LangGraph Agent
24 Adding tools to the Agent – Part 1
25 Adding Tools to the Agent – Using Built-in Tools – Part 2
26 Adding Memory to Our Agent State
27 Adding Human-in-the-loop to the AI Agent
28 Section Summary
Capstone Project – Build a Financial Report Writer AI Agent
29 AI Financial Report Writer Agent – Overview
30 Agent State and Prompts Setup
31 Creating All Nodes – Functions
32 Adding Nodes and Edges and Running our Agent
33 Adding a GUI to the Agent with Streamlit
34 Optimization Techniques – Overview
35 Course Summary
Wrap up
36 Next Steps
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