Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Hands-On AI: Building LLM-Powered Apps

via LinkedIn Learning

Overview

Get started building apps powered by large language models in this hands-on, skills-based course for beginners.

Syllabus

Introduction
  • Building apps using large language models
1. LLM: The Essentials
  • Language models and tokenization
  • Large language model capabilities
  • Challenge: Introduction to Chainlit
  • Solution: Introduction to Chainlit solution
  • Prompts and prompt templates
  • Obtaining an OpenAI token
  • Challenge: Adding an LLM to the Chainlit app
  • Solution: Adding an LLM to the Chainlit app
  • Large language model limitations
2. Retrieval Augmented Generation
  • Retrieval augmented generation
  • Search engine basics
  • Embedding search
  • Embedding model limitations
  • Challenge: Enabling load PDF to Chainlit app
  • Solution: Enabling load PDF to Chainlit app
  • Challenge: Indexing documents into a vector database
  • Solution: Indexing documents into a vector database
  • Challenge: Putting it all together
  • Solution: Putting it all together
  • Trying out your chat with the PDF app
3. Prompt Engineering
  • Prompt engineering basics
  • Challenge: Set up prompting
  • Solution: Set up prompting
  • Prompt playground for LLM apps
  • Challenge: Fixing hallucination via prompting
  • Solution: Fixing hallucination via prompting
Conclusion
  • Continue your LLM journey

Taught by

Han-chung Lee

Reviews

4.7 rating at LinkedIn Learning based on 65 ratings

Start your review of Hands-On AI: Building LLM-Powered Apps

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.