Description
Build with AI: LLM-Powered Data Analysis App with Python and Streamlit. This fast-paced, hands-on course teaches you how to build an AI-powered data analysis app using Python, Streamlit, and the OpenAI API. Instructor Maggie Ma shows you how to build a tool that allows users to upload a dataset and ask questions in natural language. The app translates the user’s query into Python or SQL code, executes it, and provides actionable insights. This course is ideal for technical teams looking to support their non-technical colleagues, and no prior knowledge of large language models is required; only a familiarity with Python and the pandas library is required. By the end of the course, you’ll have a working prototype that can be developed or deployed internally. The development environment for this course is based on GitHub Codespaces, which provides a ready-made cloud space and eliminates the need for local setup, so you can start coding immediately, from any device.
What you will learn
- Building a Basic App with Streamlit: You’ll learn how to create a basic Streamlit app and add essential components like a sidebar and file uploader. You’ll also learn how to display data tables, summarize information, and build chatbot components.
- Connecting to OpenAI and Building Smart Prompts: Learn how to secure your API key and set up OpenAI. Make your first API call and learn about advanced prompt engineering.
- Code generation and execution: You will learn how to execute Python code generated by AI and robustly handle code errors.
- Adding memory and advanced features: You’ll learn how to build chat history and memory, optimize API cost and token usage, and how to export conversation history.
- Deployment and Next Steps: Finally, you will be introduced to a final review of the application, how to deploy it on Streamlit Cloud, and the next steps to expand the project.
This course is suitable for people who:
- Technical teams: People looking to build tools to support their non-technical colleagues.
- Python Developers: People who have knowledge of Python and pandas and want to expand their skills in artificial intelligence and data analysis.
- People with no prior experience with LLM: This course is designed for those who have no prior experience with large language models.
Course specifications Build with AI: LLM-Powered Data Analysis App with Python and Streamlit
- Publisher: LinkedIn
- Instructor: Maggie Ma
- Education level: Intermediate
- Training duration: 1 hour and 35 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
180 MB
