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Codecademy

Build AI-Powered Applications with Streamlit and RAG

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Overview

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Learn to build and deploy production-ready AI applications with Streamlit, integrate ML models, and monitor performance in real-world systems.

Syllabus

  • Welcome to Build AI-Powered Applications with Streamlit and RAG
    • Welcome to Build AI-Powered Applications with Streamlit and RAG!
  • Build AI Applications with Streamlit
    • Learn Streamlit to build and deploy interactive AI applications with Python in this hands-on course.
  • Creating AI Applications using Retrieval-Augmented Generation (RAG)
    • Learn how to give your large language model the powers of retrieval with RAG, and build a RAG app with Streamlit and ChromaDB.
  • Best Practices in AI Deployment
    • Learn machine learning operations best practices to deploy, monitor, and maintain production AI systems that are reliable, secure, and cost-effective.
  • Build AI-Powered Applications Next Steps
    • Build AI-Powered Applications with Streamlit and RAG Next Steps!

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