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Build AI-Powered Applications with Streamlit and RAG

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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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