Amazon Web Services EMEA Sarl, UK Branch
Training: The Machine Learning Pipeline with AWS
Learn to build, train, evaluate, tune, and deploy an ML model using Amazon SageMaker to solve a business problem in a project-based learning environment.
- Instructor-led three-day course
- Live or virtual
- Access to a full suite of supporting materials
- Hands-on labs
- Select and justify the ML approach for a given problem
- Use the ML pipeline to solve a specific business problem
- Train, evaluate, deploy, and tune an ML model using SageMaker
- Best practices for designing scalable, cost-optimized, and secure ML pipelines
- Apply machine learning to a problem after completion
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