LangChain: Building AI-Powered Applications

• Basic knowledge of Python programming
• Familiarity with AI concepts and large language models

Audience

• Developers
• Software engineers
• AI enthusiasts

LangChain is an open-source framework designed to facilitate the development of applications using large language models (LLMs).

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.

By the end of this training, participants will be able to:

• Understand the fundamentals of LangChain and its components.
• Integrate LangChain with large language models (LLMs) like GPT-4.
• Build modular AI applications using LangChain.
• Troubleshoot common issues in LangChain applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to LangChain

• Overview of LangChain and its purpose
• Setting up the development environment

Understanding Large Language Models (LLMs)

• LLMs vs traditional models
• Capabilities and limitations of LLMs

LangChain Components and Architecture

• Core components of LangChain
• Understanding the architecture and workflow

Integrating LangChain with LLMs

• Connecting LangChain to LLMs like GPT-4
• Building chains for specific tasks

Building Modular Applications

• Creating modular components with LangChain
• Reusing components across different applications

Practical Exercises with LangChain

• Hands-on coding sessions
• Developing sample applications using LangChain

Advanced LangChain Features

• Exploring advanced functionalities
• Customizing LangChain for complex use cases

Best Practices and Patterns

• Coding best practices with LangChain
• Design patterns for AI-powered applications

Troubleshooting

• Identifying common issues in LangChain applications
• Debugging techniques and solutions

Summary and Next Steps