Description
Build with AI: LLM-Powered Applications with Streamlit. This course provides hands-on training in building applications powered by large language models (LLMs) and artificial intelligence using the Streamlit Python framework. Instructor Megan Silvey demonstrates how to use Streamlit to build web applications, which has become a key tool for data and AI professionals. The course focuses on designing and deploying a Retrieval-Augmented Generation (RAG)-enabled document Q&A chatbot in Streamlit using Python and the OpenAI API. The course begins with an overview of Streamlit and large language models, and covers best practices for working with AI and APIs. Participants then learn how to prepare text data to create a RAG pipeline and integrate it into a Streamlit chat interface. By the end, participants will be able to test, maintain, and deploy a fully functional chatbot on the Streamlit Community Cloud platform.
What you will learn
- Building the first LLM-based application with Python and Streamlit
- LLM and RAG Basics Training: This course will teach you the concepts of LLM and RAG.
- Creating a knowledge base: You will learn how to prepare text data for embedding, generate embeddings for searching, and create a Faiss vector store for fast information retrieval.
- Building a Chatbot UI: You will learn how to build a chat UI in Streamlit for LLM interactions, integrate the RAG pipeline into your application, and handle errors properly.
- Testing, Maintenance, and Deployment: You will learn how to test, maintain, and improve your chatbot and deploy it for free on the Streamlit Community Cloud.
This course is suitable for people who:
- AI enthusiasts: People looking to learn how to build applications using large language models (LLMs) and modern frameworks.
- Python programmers and developers: People who want to expand their skills in artificial intelligence and machine learning using Streamlit.
- Students and researchers: People who are studying in fields related to data science, artificial intelligence, or programming and are looking for practical projects to strengthen their resume.
Course Details Build with AI: LLM-Powered Applications with Streamlit
- Publisher: LinkedIn
- Instructor: Megan Silvey
- Education level: Intermediate
- Training duration: 3 hours and 16 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
387 MB
