Developing AI workflows with the Python Machine Learning Client for SAP HANA

 By the end of this learning journey, learners will be able to:

• Know how to install and configure the Python Machine Learning Client (hana-ml) and connect securely to SAP HANA Cloud.
• Apply HANA DataFrames to access, prepare, and explore SAP HANA data for machine learning tasks.
• Think critically to build, train, and deploy machine learning models using PAL functions for regression, classification, and time-series forecasting.
• Impact business outcomes by using real-world datasets (e.g., housing prices, employee churn) to complete end-to-end ML workflows.
• Evaluate models using appropriate metrics to assess performance, robustness, and business relevance.