About
Class 1 to Class 4: Same as Intermediate Course
Class 5: Building Agents with LangChain
Theory (1 hour):
What is an AI agent? Types of agents (reflex agents, model-based, goal-based, etc.)
Overview of LangChain for creating agents
Introduction to practical agents with LangChain and how to integrate tools, memory, and planning
Practice:
Google Colab: Build a basic LangChain agent that can execute simple tasks like querying databases or web scraping based on user input.
Class 6: Complex Flows with LangGraph
Theory (1 hour):
Introduction to LangGraph for complex flows
Understanding nodes, edges, and states in LangGraph
Using LangGraph for dynamic agent flows
Practice (1 hour):
Google Colab: Create a LangGraph project with a multi-step workflow (like a SQL query executor) and build conditional flows based on user inputs.
Consulting advice:
We offer personalized consulting for your generative AI projects. Whether you're starting out or looking to automate workflows with tools like LangChain or LangGraph, we’ll help identify the best strategies and solutions. This includes streamlining processes, optimizing AI automation, and ensuring scalability. You'll gain practical insights to apply AI effectively and ensure project success.