Udemy – SAP BTP BAS AI Dev: Machine Learning ~ Build, Train, Deploy

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.

DOWNLOAD LINK: SAP BTP BAS AI Dev: Machine Learning ~ Build, Train, Deploy

SAP_BTP_BAS_AI_Dev_Machine_Learning_Build_Train_Deploy.part1.rar – 1000.0 MB
SAP_BTP_BAS_AI_Dev_Machine_Learning_Build_Train_Deploy.part2.rar – 788.2 MB

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