- Machine learning foundational concepts and tools
- Common algorithms
- Data wrangling
- Jupyter notebooks
- Python development
- Key AWS services
- SageMaker
- Kinesis
- Glue
Foundation
Develop a foundational knowledge of the subject
- Common algorithms and when to apply them
- Data manipulation to achieve good data for model use
- Inference deployment and operationalization
AWS Services
Understand key AWS machine learning services and how to use them to solve specific problems
- Build, train, tune, and deploy machine learning models using the AWS Cloud
- Design, implement, deploy, and maintain machine learning solutions for given business problems
- Select and justify the appropriate machine learning approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
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