Designing Agentic Systems with LangChain

via DataCamp

DataCamp

60 Courses


Overview

Immerse yourself in the transformative world of LangChain, where you will master the creation of dynamic, agentic systems designed for the future of AI. This course provides a comprehensive understanding of LangChain agents, guiding you in building custom chat agents capable of performing sophisticated tasks.

Discover how agentic workflows incorporating large language models and essential tools are revolutionizing productivity and task automation. Throughout this course, you'll learn to configure prompts, integrate tools, and manage complex workflows using the Reasoning and Action (ReAct) framework.

Develop the skills needed to set up agentic workflows, configure necessary tools, and understand the core principles of LangChain agents. With LangGraph, visualize these workflows effectively, define nodes and edges, and create conditional pathways for adaptable solutions.

Your learning journey includes building custom agents, setting up tools for data retrieval from resources like the Wikipedia API, and managing agent states effectively. By the conclusion of this course, you'll be equipped to monitor messages, define nodes for versatile function calls, and configure your chatbot for seamless multi-tool handling.

Join this DataCamp course to build intelligent systems that enhance productivity and tailor solutions to specific business needs through the integration of prompts, language models, and tools into sophisticated workflows.

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