English | Size: 508 MB
Genre: eLearning
Building Integrated AI Services with LangChain & LangGraph. This course focuses on developing advanced AI applications using LangChain and LangGraph. You will learn to build complex AI systems including retrieval-augmented generation (RAG) and AI agents, while gaining a deep understanding of integrating various AI services and tools. Course Content: 1- Retrieval-Augmented Generation (RAG) with LangChain: This module introduces retrieval-augmented generation (RAG) using LangChain. Students will learn about embeddings, vector databases, and how to augment large language models with domain-specific knowledge for applications such as intelligent search and chatbots. 2- AI Agents with LangGraph: Explores the development of AI agents using LangGraph. You will learn how to create agents that are capable of performing actions through integration with other systems, moving beyond simple content generation to more complex interactive applications.
What you will learn:
Design and Implement RAG Systems for Domain-Specific AI Applications: You will learn how to design and implement RAG systems to improve the responses of large language models using domain-specific information.
Develop AI agents capable of performing complex tasks through system integrations: You will learn how to create AI agents that can perform actions by integrating with other systems, moving beyond simple content generation to more complex interactive applications.
Assessing the effectiveness and limitations of various AI integration techniques in solving real-world problems: You will learn how to assess the effectiveness and limitations of various AI integration techniques in solving real-world problems.
Who is this course suitable for:
Software engineers who want to create advanced artificial intelligence applications.
Data scientists who want to use large language models to solve real-world problems.
Anyone looking for a deep understanding of the integration of various AI services and tools.
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