Building Smarter Real-World Generative AI Systems
1:47:52
Description
Building Smarter Real-World Generative AI Systems with LangGraph and LangChain
What You'll Learn?
- Explore Lang graph and Build Agentic Applications
- Learn Generative AI using Langchain and Lang Graph
- Explore Lang graph and Build Agentic Applications
- Provides End to end tutorial for LangChain
Who is this for?
What You Need to Know?
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DescriptionWelcome to Building a Generative AI Application with LangGraph by Learner's Spot! This course is designed to equip you with the knowledge and skills needed to create your very own Generative AI application. Whether you're a beginner or looking to deepen your understanding, we've structured this course to guide you step-by-step through essential concepts and practical applications.
What You’ll Learn:
Introduction to Generative AI & LLMs: Kick off your journey with a comprehensive overview of Generative AI and Large Language Models. Understand the fundamental principles behind these technologies and how they empower intelligent applications.
Exploring the Langchain Framework: Dive into the components of the Langchain Framework and discover how data flows within it. We’ll prepare you for hands-on work by setting up your development environment with Python and Langchain.
Utilizing Langchain’s Tools: Learn how to leverage Langchain’s built-in tools and how to create custom ones tailored to your unique needs.
Understanding Agents: We’ll introduce you to the concept of Agents, with a special focus on the REACT agent, discussing its advantages and limitations.
Deep Dive into LangGraph: The heart of this course is LangGraph. Explore its key features, advanced functionalities like the multi-agent approach, and smart planning through real-world examples.
Mastering Key Terminologies: Get familiar with essential LangGraph terminologies, such as states, nodes, and edges, and understand their significance in building structured AI systems.
Building Your First AI-Driven Chatbot: Apply what you've learned by constructing your first chatbot using LangGraph. This hands-on project will provide practical experience with the framework.
Exploring Retrieval-Augmented Generation Applications: Discover how Retrieval-Augmented Generation (RAG) applications enhance language models by integrating external information retrieval before response generation.
Hands-On RAG Application Session: Participate in a guided session to create a RAG application, solidifying your understanding of this powerful approach.
Who this course is for:
- Who is interested to develop GenAI Application using LangGraph
Welcome to Building a Generative AI Application with LangGraph by Learner's Spot! This course is designed to equip you with the knowledge and skills needed to create your very own Generative AI application. Whether you're a beginner or looking to deepen your understanding, we've structured this course to guide you step-by-step through essential concepts and practical applications.
What You’ll Learn:
Introduction to Generative AI & LLMs: Kick off your journey with a comprehensive overview of Generative AI and Large Language Models. Understand the fundamental principles behind these technologies and how they empower intelligent applications.
Exploring the Langchain Framework: Dive into the components of the Langchain Framework and discover how data flows within it. We’ll prepare you for hands-on work by setting up your development environment with Python and Langchain.
Utilizing Langchain’s Tools: Learn how to leverage Langchain’s built-in tools and how to create custom ones tailored to your unique needs.
Understanding Agents: We’ll introduce you to the concept of Agents, with a special focus on the REACT agent, discussing its advantages and limitations.
Deep Dive into LangGraph: The heart of this course is LangGraph. Explore its key features, advanced functionalities like the multi-agent approach, and smart planning through real-world examples.
Mastering Key Terminologies: Get familiar with essential LangGraph terminologies, such as states, nodes, and edges, and understand their significance in building structured AI systems.
Building Your First AI-Driven Chatbot: Apply what you've learned by constructing your first chatbot using LangGraph. This hands-on project will provide practical experience with the framework.
Exploring Retrieval-Augmented Generation Applications: Discover how Retrieval-Augmented Generation (RAG) applications enhance language models by integrating external information retrieval before response generation.
Hands-On RAG Application Session: Participate in a guided session to create a RAG application, solidifying your understanding of this powerful approach.
Who this course is for:
- Who is interested to develop GenAI Application using LangGraph
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Udemy
View courses Udemy- language english
- Training sessions 50
- duration 1:47:52
- Release Date 2024/12/03
