Python for Data & AI: From pandas to LLM-Powered Apps
Turn raw data into insight and ship working AI features in Python. You'll wrangle and clean messy datasets with pandas, build clear visualizations, train and evaluate your first machine-learning models with scikit-learn, and finish by building a real LLM-powered app with retrieval over your own documents. By the end you'll have a portfolio of notebooks and a deployable app that answers questions grounded in your data.
Everything included
8 on-demand lessons
1h 14m of focused, project-based video.
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Course content
- Welcome & setting up your Data + AI toolkitPreviewLesson 1 · 4m Preview
- Wrangling real data with pandas: loading, cleaning & reshapingLesson 2 · 5m
- Exploratory analysis: groupby, joins & aggregation that answer questionsLesson 3 · 7m
- Telling the story: visualization with Matplotlib & SeabornLesson 4 · 8m
- Machine learning fundamentals: train/test splits, models & honest evaluationLesson 5 · 10m
- Feature engineering & avoiding the traps: leakage, overfitting & baselinesLesson 6 · 11m
- Building with LLMs: prompts, structured output & retrieval over your dataLesson 7 · 13m
- Capstone: ship a deployable AI app that answers questions from your datasetLesson 8 · 14m
Karthik RaoVerified
Course creator
Data scientist & AI engineer. I help developers turn data into insight and ship real AI features.