The 32 hours Machine Learning Pipeline on AWS course helps you understand how to use the Machine Learning Pipeline to solve real business problems in a project-based environment. Understand the three major business problems – Fraud Detection, Recommendation Engines or Flight Delays and learn about the various phases of the pipeline to minimize problems and risks.
This training includes Instructor-led training, hands-on labs, demonstrations, and group exercises. By the end of the course, you will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
Who Should Attend the Course
- Developers
- Solutions architects
- Data Engineers
- Anyone looking to learn about the ML pipeline using Amazon SageMaker
What You Will Learn
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Selecting the Appropriate ML Approach
Learn to select and justify the appropriate ML approach for a given business problem -
Solving Business Problems
Gain insights into real world applications of ML Pipeline solutions for specific business problems -
Implementing AWS SageMaker
Train, evaluate, deploy, and tune an ML model using Amazon SageMaker -
Understanding the Types of Business Problems
Learn to identify fraud detections, recommendation engines, or flight delays -
Designing ML Pipelines
Describe some of the best practices for designing scalable, cost-optimized ML pipelines -
Applying ML Best Practices
Understand and apply the best practices for scalable and secure Machine Learning Pipelines in AWS
After completing the Machine Learning Pipeline on AWS certification training, you will be able to:
- Select and justify the appropriate ML approach for a given business problem
- Use the ML pipeline to solve a specific business problem
- Train, evaluate, deploy, and tune an ML model using Amazon SageMaker
- Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
- Apply machine learning to a real-life business problem after the course is complete
We provide this course in English.
