Already know basic Python? Build one real thing end to end: a small AI data app that loads a dataset, sends a slice of it to a language model, and turns the response into a written analysis. You will use pandas only as much as the app needs, call an LLM API directly (no agents, no frameworks), wire the pieces into a single script with real error handling, and ship it as a shareable Streamlit app you can run locally. A project-based intermediate course with a free certificate of completion.
You already know a little Python, and you are tired of tutorials that hand you disconnected snippets and never build anything real. This project-based course fixes that by walking you through one complete build: a small AI data app that loads a dataset, sends a compact slice of it to a language model, and shows you a written analysis of what the numbers actually mean. You start in the terminal and finish with a shareable web app.
Across seven focused lessons you load and clean real data with pandas (only as much as the app needs), make your first plain API call to an LLM, design prompts that keep the analysis grounded in real numbers, wire everything into a single script with proper error handling, and wrap it in a clean Streamlit interface with a file upload and an Analyze button. There are no agents and no heavy frameworks here, just direct API calls, so every moving part stays visible and debuggable.
This is an intermediate course for students and self-taught coders who can already read a for loop and a function and now want to apply Python to AI by shipping something usable. It sits between an absolute-beginner Python tour and advanced agent engineering: a hands-on capstone you can put on your resume or GitHub. The pandas and scripting lessons run in interactive Python playgrounds right in the page, so you can practice without installing anything.
The course is 100% free, with no signup wall, and finishing it earns you a free certificate of completion for your LinkedIn and resume.
3 modules • 7 lessons
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