LangChain Training Course in Des Moines

LangChain Training Course Outline

Module 1: LangChain Fundamentals

• Introduction to LangChain
• Core Concepts of LangChain
• Overview of Key Modules
• Building a Basic LLM Chain

Module 2: LangChain Expression Language (LCEL)

• Introduction to LCEL
• Core LCEL Constructs
• Runtime Configuration in LCEL
• Adding Memory and Fallbacks
• Streaming and Custom Functions

Module 3: Serving Applications with LangServe

• Overview of LangServe
• CLI and Endpoint Management
• Playground and Widgets
• Endpoint Security and Configuration

Module 4: Monitoring and Debugging with LangSmith

• Overview of LangSmith
• Logging and Tracing Chains
• Evaluating and Comparing Runs
• Dataset Export and Test Review

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