Generative AI with LangChain and LangGraph


This comprehensive course explores LangChain, an open-source framework for building applications using Large Language Models (LLMs). Additionally, it explores LangGraph, a powerful extension of LangChain for constructing stateful, multi-agent applications.

LangChain offers a unique blend of tools and abstractions that enhance the customization, accuracy, and relevancy of responses generated by applications powered by language models. LangGraph complements LangChain by enabling the creation of complex workflows involving cycles, branching, and persistence, which is ideal for multi-agent systems, allowing you to build your own teams of AI agents.

LangGraph enables the creation of intricate workflows involving multiple agents, each with specialized tasks, facilitating better results through focused problem-solving. This course will equip participants with the knowledge to leverage these frameworks for developing sophisticated, stateful applications using LLMs.

By attending this seminar, participants will gain an in-depth understanding of how LangChain and LangGraph streamline the development of data-responsive applications, integrate LLMs with internal data sources, use API and Tools, and perform Prompt Engineering more efficiently and effectively.

What you will learn

Participants will explore the various components and functionalities of LangChain and LangGraph, including:

  • Model Interaction: Learn how LangChain interacts with Cloud and local language model
  • Indices, Data Connections, and Retrievals: Understand how data can be transformed, stored, and retrieved through queries within LangChain
  • Chains: Gain insights into the fundamental principle of chains in LangChain, which involves linking multiple LLMs and components to provide context-aware responses
  • Agents: Discover how agents in LangChain orchestrate complex commands to solve problems and decide the best actions to take in response to specific requests
  • Memory Modules: Learn about integrating short-term and long-term memory in language models, enhancing their interaction context
  • Prompt Engineering: Acquire skills in designing and executing Prompts to increase the likelihood of receiving well-written and accurate responses from language models
  • Application Development: Understand the process of defining, building, customizing, and fine-tuning applications powered by language models within LangChain
  • LangGraph Functionalities

    • Explore LangGraph’s ability to create stateful, multi-agent workflows
    • Learn about cycles and branching, persistence, and human-in-the-loop workflows
    • Understand how to build complex state machines and manage state across multiple nodes and sessions

Main Topics

  • Introduction to LangChain and LangGraph
  • Key Features of LangChain and LangGraph
  • Use Cases for LangChain and LangGraph
  • LangChain’s and LangGraph’s Limitations
  • Building Applications with LangChain and LangGraph
  • Advanced Concepts and Practical Implementation




05 - 06 Nov 2024

Timing: from 2 pm to 6 pm Italian time


Online event

Book Event

Partecipation fee - 900€
Available Places: 100
The "Partecipation fee - 900€" ticket is sold out. You can try another ticket or another date.
Registration 30 days before the seminar date: 5% discount - 855€
Available Places: 100
The "Registration 30 days before the seminar date: 5% discount - 855€" ticket is sold out. You can try another ticket or another date.
Share on: