What will you learn in Unleash the Power of Large Language Models Using LangChain Course
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Understand the core concepts of language models and the architecture of LangChain
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Craft and manage prompt templates, parse LLM outputs, and handle message formats
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Integrate external tools and services into LangChain workflows for extended functionality
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Generate and work with embeddings, store and query vectors in vector databases
Program Overview
Module 1: Introduction to LangChain
25 minutes
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Topics: What Is a Language Model?; What Is LangChain and Why Does It Matter?; Use Cases of LangChain
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Hands-on: Complete the initial interactive lessons to grasp core LangChain components and real-world integration scenarios
Module 2: Exploring LangChain
45 minutes
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Topics: Chat Models, Messages, and Prompt Templates; Parsing Outputs; Runnables & Expression Language; Tools; Embeddings & Vector Stores
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Hands-on: Build and test simple chains—craft prompts, parse outputs, invoke tools, and retrieve embeddings from vector stores
Module 3: LangGraph Basics
45 minutes
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Topics: What Is LangGraph?; Main Components of LangGraph; Why Traditional Chains Fall Short; How to Create a Routing System; LangGraph Quiz
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Hands-on: Configure and evaluate a router chain to orchestrate multi-agent workflows dynamically
Module 4: Wrapping Up
10 minutes
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Topics: Integrating LangChain with LLMs, dynamic agents, and future possibilities
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Hands-on: Finalize the course with a practical wrap-up and explore the “Query CSV Files with Natural Language Using LangChain and Panel” project
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Job Outlook
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The average Artificial Intelligence Engineer salary in the U.S. is $106,386 per year as of June 2025
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Employment of software developers, quality assurance analysts, and testers is projected to grow 17% from 2023 to 2033
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Proficiency with LLM frameworks and prompt engineering drives roles like AI Engineer, Machine Learning Engineer, and AI Consultant
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LangChain expertise is increasingly sought after for building chatbots, retrieval-augmented generation systems, and custom LLM services
Explore More Learning Paths
Elevate your AI expertise with these carefully curated programs designed to help you master large language models, LangChain, and generative AI applications.
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Generative AI with Large Language Models Course – Gain practical experience in leveraging LLMs for AI-powered solutions and real-world projects.
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Introduction to Large Language Models Course – Build a strong foundation in LLM concepts, architecture, and applications for AI-driven tasks.
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