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Coursera

Foundations of Agentic AI with LangChain

Packt via Coursera

Overview

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Build a strong foundation in agentic AI by mastering LangChain's core concepts, architecture, and essential tools. Learn to create robust AI chains, integrate APIs, and develop your first intelligent applications. This course introduces you to the fundamentals of building agentic AI systems using LangChain. You will set up your development environment, connect with leading AI providers, and explore the architecture and core concepts of LangChain, including LCEL, runnable chains, and output parsers. By the end of the course, you will be able to design and implement basic AI chains, optimize model configurations, and build your first smart Q&A bot, equipping you with the skills to tackle more advanced AI challenges. Through a blend of clear explanations, practical demonstrations, and interactive quizzes, this course guides you step-by-step from setup to building your first AI-powered applications. Each concept is reinforced with real-world examples to ensure you gain practical, applicable knowledge. This course is part one of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Agentic AI Systems: Build & Deploy with LangChain/LangGraph, by Paulo Dichone. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Introduction
    • This module provides an overview of the course structure, introduces essential prerequisites, and highlights the significance of LangChain and LangGraph in modern AI development. Learners will gain foundational knowledge about the tools and concepts they will use to build advanced AI systems.
  • LangChain Foundations - A Deep Dive
    • This module provides a comprehensive introduction to LangChain, covering its ecosystem, setup, and core concepts like LCEL and runnable chains. Learners will explore API integration, model configuration, and practical applications such as building a Q&A bot, with a focus on real-world implementation and problem-solving.
  • Chain Patterns
    • This module covers the fundamentals of chain patterns in LangChain, including building basic and parallel chains, implementing branching, and debugging techniques. Learners will gain hands-on experience with RAG, memory systems, and passthrough runnables to create efficient and flexible LLM applications.

Taught by

Packt - Course Instructors

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