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

Hands-On AI: Building LLM-Powered Apps

via LinkedIn Learning

Write review

DataCamp

AI Engineer - Learn how to integrate AI into software applications

Corporate Finance Institute

Learn Excel & Financial Modeling the Way Finance Teams Actually Use Them

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

Get Full Access

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