BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Course Overview
This three-day, instructor-led course helps you turn your machine learning expertise into production-ready solutions on AWS. You’ll learn how to build, deploy, and operationalize ML applications using Amazon SageMaker and EMR. Designed for ML professionals aiming for AWS certification, this hands-on course equips you with practical skills to implement enterprise-grade machine learning solutions. At the completion of this course, participants will be able to:
- Explain the fundamentals of machine learning and its applications on the AWS platform.
- Process, transform, and engineer data for machine learning tasks using AWS services, like Amazon SageMaker Data Wrangler, Amazon EMR, and SageMaker Processing.
- Select appropriate machine learning algorithms and modeling approaches based on problem requirements and model interpretability.
- Design and implement scalable machine learning pipelines using AWS services for model training, deployment, and orchestration.
- Create automated CI/CD pipelines for machine learning workflows.
- Discuss appropriate security measures for machine learning resources on AWS.
- Implement monitoring strategies for deployed machine learning models, including techniques for detecting data drift.
Schedule
Currently, there are no public classes scheduled. Please contact a Phoenix TS Training Consultant to discuss hosting a private class at 301-258-8200.
Module 1: Introduction to Machine Learning (ML) on AWS
Module 2: Analyzing Machine Learning (ML) Challenges
Module 3: Data Processing for Machine Learning (ML)
Module 4: Data Transformation and Feature Engineering
Module 5: Choosing a Modeling Approach
Module 6: Training Machine Learning (ML) Models
Module 7: Evaluating and Tuning Machine Learning (ML) models
Module 8: Model Deployment Strategies
Module 9: Securing AWS Machine Learning (ML) Resources
Module 10: Machine Learning Operations (MLOps) and Automated Deployment
Module 11: Monitoring Model Performance and Data Quality
Module 12: Course Wrap-up
BONUS! Cyber Phoenix Subscription Included: All Phoenix TS students receive complimentary ninety (90) day access to the Cyber Phoenix learning platform, which hosts hundreds of expert asynchronous training courses in Cybersecurity, IT, Soft Skills, and Management and more!
Phoenix TS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints re-garding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org
