LangChain Training Course in Washington D.C.

LangChain Training Course Outline

Module 1: LangChain Ecosystem and Setup

• The LangChain Ecosystem: LangChain, LangGraph, LangSmith
• LangChain Architecture and Core Abstractions
• Environment Setup, Dependencies, and First Configuration

Module 2: Models, Prompts, and Structured Output

• Model and Provider Integrations
• Prompt Templates and Dynamic Composition
• Structured Output with Pydantic and Output Parsers
• LCEL: Runnable Composition and Chaining
• LCEL: Streaming, Fallbacks, and Runtime Configuration
• Lab: Build a Structured-Output Chain with a Prompt Template

Module 3: Tools, Tool Calling, and Agents

• Defining and Registering Custom Tools
• Tool Calling: How LLMs Invoke Tools
• Agent Types and the ReAct Loop
• Short-Term Memory and Conversation History
• Lab: Build a Tool-Enabled Conversational Agent

Module 4: Retrieval-Augmented Generation

• RAG Architecture and Use Cases
• Document Loaders and Text Splitting Strategies
• Embeddings and Vector Stores
• Retrievers: Similarity Search and Filtering
• Combining Retrieval with an Agent or Chain
• Lab: Build a RAG Pipeline over Your Own Documents

Module 5: LangGraph Fundamentals

• LangGraph Concepts: Graphs, Nodes, and Edges
• State Management and Conditional Routing
• Choosing LangGraph over Simple Chains
• Lab: Add a LangGraph Flow to an Existing Agent

Module 6: Observability and Evaluation with LangSmith

• Tracing Runs and Reading LangSmith Traces
• Debugging Failures and Inspecting Intermediate Steps
• Building and Comparing Evaluation Datasets
• Testing Output Quality and Comparing Runs
• Lab: Instrument a Chain and Evaluate Its Outputs in LangSmith

Module 7: Production Readiness Essentials

• API Key Management and Sensitive Configuration
• Token Usage, Latency Control, and Cost Awareness
• Failure Handling, Retries, and Fallback Strategies
• Secure Deployment and Safe Application Exposure

Who Should Attend this LangChain Training Course?

This LangChain Training Course is specifically designed for professionals and enthusiasts who are eager to deepen their understanding and skills in advanced computing and language processing frameworks. It is particularly beneficial for a range of professionals including:

• Data Scientists
• AI Researchers
• System Architects
• Machine Learning Engineers
• IT Project Managers
• Language Technology Enthusiasts
• Software Developers

Prerequisites of the LangChain Training Course

There are no formal prerequisites for this LangChain Training Course. However, a basic understanding of Python, APIs, and Artificial Intelligence concepts can help delegates understand LangChain fundamentals, LLM chains, LCEL, LangServe, and LangSmith more effectively.

LangChain Training Course Overview

The LangChain Training Course introduces delegates to the fundamentals of building applications with Large Language Models. It explains how LangChain supports chains, prompts, workflows, and application logic. The course is relevant for delegates working with AI applications and language model integration.

Delegates will learn how to create basic LLM chains, use LangChain Expression Language, and add memory, fallbacks, streaming, and custom functions. They will also understand how to serve applications using LangServe. The course covers monitoring, tracing, evaluation, and debugging with LangSmith.

This 1-Day course by The Knowledge Academy helps delegates apply LangChain concepts and LangChain for LLM Application Development in real workplace projects. They can use these skills to build, serve, monitor, and improve LLM-based applications. This supports better AI workflow management, testing, and application performance.

LangChain Training Course Objectives

• To grasp LangChain's core concepts, installation process, and security features
• To understand the fundamentals and applications of LangChain Expression Language
• To learn practical skills in managing data and custom functions
• To familiarise with LangServe's key features and installation procedures
• To acquire knowledge in handling authentication and custom user types
• To develop proficiency in using LangSmith for data analysis and export

Upon completion of this LangChain Training Course, delegates will have the knowledge and skills to build, configure, serve, monitor, and manage LangChain applications effectively. They will be able to use LangChain Expression Language, apply memory and fallback features, manage endpoints with LangServe, and evaluate application performance using LangSmith. 

What’s Included in this LangChain Training Course?

• World-Class Training Sessions from Experienced Instructors
• LangChain Training Certificate
• Digital Delegate Pack