This hands-on course teaches you how to build, train, deploy, and run a complete ML application on SAP’s Business Technology Platform — using an industry-standard tech stack: Python, Scikit-Learn, FastAPI, Streamlit & Cloud Foundry.
You won’t just learn theory — you will build a real-world Heart Disease Prediction App from scratch, including:
- Data preparation & feature engineering
- Model training using Logistic Regression
- Evaluating the model (Accuracy, Precision, Recall, F1, AUC)
- Saving the trained model
- Building an API with FastAPI
- Creating a UI with Streamlit
- Deploying the backend & frontend to Cloud Foundry
- Running everything directly inside SAP Business Application Studio (BAS)
This is one of the first and only end-to-end ML project courses built specifically for the SAP BTP ecosystem. If you’re aiming to combine AI skills + SAP skills, this course puts you ahead of 99% of developers. Whether you’re a Python enthusiast, Machine Learning beginner, SAP developer, or a professional looking to enter the AI space — this course gives you the exact skills you need.
Tools & Technologies You Will Use:
- Python 3
- Pandas, NumPy, Scikit-Learn
- FastAPI
- Streamlit
- Joblib
- SAP Business Application Studio
- SAP BTP Cloud Foundry
- Uvicorn, Requests, Matplotlib, Seaborn
By the end, you will have a cloud-deployed ML application that you built entirely by yourself.
