LangChain: Building AI-Powered Applications Training Course
LangChain serves as an open-source framework engineered to streamline the creation of applications leveraging large language models (LLMs).
This instructor-led, live training, available either online or onsite, targets intermediate developers and software engineers eager to construct AI-powered solutions using the LangChain framework.
Upon completion of this training, participants will achieve the following capabilities:
- Comprehend the core principles and constituent parts of LangChain.
- Effectively integrate LangChain with prominent large language models such as GPT-4.
- Develop modular AI applications utilizing LangChain.
- Diagnose and resolve typical issues arising in LangChain applications.
Course Structure
- Engaging lectures coupled with interactive discussion.
- Extensive exercises and practical practice.
- Real-time implementation within a live laboratory environment.
Customisation Options
- To arrange a bespoke training session tailored to your needs, please reach out to us.
Course Outline
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
Requirements
- Foundational understanding of Python programming
- Familiarity with artificial intelligence concepts and large language models
Target Audience
- Developers
- Software engineers
- AI enthusiasts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
LangChain: Building AI-Powered Applications Training Course - Enquiry
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