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Home Specialist skills Artificial Intelligence LangChain Unleashed: Building Decentralized Language Applications for the Future

LangChain Unleashed: Building Decentralized Language Applications for the Future

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    Understand the core components and design patterns of the LangChain framework
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    Build and manage prompt templates, chains, and memory within LLM applications
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    Integrate external tools and APIs using LangChain agents
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    Implement retrieval-augmented generation workflows with vector databases
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    Evaluate, debug, and optimise LLM-driven applications for reliability
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    Deploy LangChain-powered applications into production environments.

Overview

Off the shelf (OTS)

This course is designed for software developers, data scientists, ML engineers, and technical professionals who want to build applications that integrate large language models (LLMs) using the LangChain framework. It is suitable for those working on natural language interfaces, automation tools, or advanced AI systems.

Participants should have a working knowledge of Python. Familiarity with APIs and basic concepts of machine learning or large language models is recommended.

The LangChain Training Course provides an in-depth introduction to developing LLM-powered applications using LangChain. Participants will learn the LangChain architecture and core components, how to manage memory and chains, how to integrate external tools and APIs, and how to implement agents for dynamic task execution. The course also covers retrieval-augmented generation (RAG) and deployment strategies for production-ready applications.

Key Topics Covered:
• Overview of LangChain and its architecture
• Prompt templates, chains, and memory management
• Integration with external tools, APIs, and agents
• Retrieval-augmented generation (RAG) using vector stores
• Evaluation, debugging, and monitoring of LLM applications
• Deployment strategies and best practices

The course is delivered over three days and includes hands-on exercises to reinforce learning.

Delivery method
Virtual icon

Virtual

Course duration
Duration icon

21 hours

Competency level
Working icon

Working

Pink building representing strand 4 of the campus map
Delivery method
  • Virtual icon

    Virtual

Course duration
Duration icon

21 hours

Competency level
  • Working icon

    Working

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