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In this hands-on course, you'll walk through an end-to-end machine learning project using Amazon SageMaker, AWS’s fully managed platform for building, training, and deploying ML models. From data visualization to feature engineering, model tuning, and deployment, you'll learn how to apply SageMaker to real-world business problems like customer retention analysis.
What You’ll Learn:
- Prepare and preprocess your data for ML
- Train, evaluate, and auto-tune ML models using SageMaker
- Deploy ML models into a production environment
- Analyze model outcomes to drive better decisions
Who Should Attend:
- Python Developers looking to break into data science
- Data Scientists ready to deploy scalable ML solutions
- Anyone eager to tap into the most popular cloud platform in the market
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