Machine Learning Engineering on AWS
- • Jul 27–29, 2026 · Live Remote Online, 9 AM–5 PM ET
- • Oct 26–28, 2026 · Live Remote Online, 9 AM–5 PM ET
Contact IT Dojo for current pricing, available dates, and a custom quote tailored to your team or organization.
Course Duration
3 Days
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
Familiarity with basic machine learning concepts; Working knowledge of Python programming language and common data science libraries; Basic understanding of AWS services.
Course Description
Machine Learning Engineering on AWS is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, train, and deploy machine learning models using Amazon SageMaker and related AWS AI/ML services. The course covers the full ML lifecycle, data preparation, model training, hyperparameter tuning, deployment, monitoring, and MLOps practices, within the AWS environment. Topics include SageMaker Studio, SageMaker Pipelines, SageMaker Feature Store, and deploying scalable inference endpoints.
Learning Objectives
- Explain ML fundamentals and its applications in the AWS Cloud
- Process, transform, and engineer data for ML tasks using AWS services
- Select appropriate ML algorithms and frameworks for specific problem types
- Build and train ML models using Amazon SageMaker
- Optimize model performance through hyperparameter tuning and experiment tracking
- Deploy ML models to scalable inference endpoints using Amazon SageMaker
- Implement MLOps practices to automate and monitor ML pipelines
- Apply security and governance best practices to ML workloads on AWS
Course Outline
Course Topics
- Introduction to Machine Learning on AWS
- Data Preparation for Machine Learning
- Building and Training ML Models with Amazon SageMaker
- Model Evaluation and Hyperparameter Optimization
- MLOps: Automating ML Workflows with SageMaker Pipelines
- Amazon SageMaker Feature Store
- Model Deployment and Inference
- Monitoring ML Models in Production
- Security and Governance for ML Workloads
- Course Wrap-Up and Next Steps
Frequently Asked Questions
What does the Machine Learning Engineering on AWS course cover?
This course covers ML model development, training, and deployment on AWS using Amazon SageMaker. IT Dojo delivers it as live instructor-led training with an emphasis on practical skills for government and DoD professionals.
How long is IT Dojo's Machine Learning Engineering on AWS training?
IT Dojo's Machine Learning Engineering on AWS training is 3 Days. It is available as live remote online instruction or on-site at your facility. All sessions are instructor-led with small class sizes to ensure individual attention.
Is this course available as live remote online training?
Yes. IT Dojo offers Machine Learning Engineering on AWS as live remote online training. A certified instructor leads the session in real time, students interact via chat or microphone. Classes are kept small (typically no more than 16 students) to ensure engagement. On-site delivery at your government facility or contractor location is also available.
What prerequisites are recommended before this course?
Familiarity with basic machine learning concepts; Working knowledge of Python programming language and common data science libraries; Basic understanding of AWS services.
Does IT Dojo offer this training on-site at government or DoD facilities?
Yes. IT Dojo delivers Machine Learning Engineering on AWS on-site at government agencies, DoD commands, military installations, and contractor facilities. On-site training is ideal for teams of four or more and can be customized to your organization's specific environment and mission requirements. Contact IT Dojo to schedule.
How do I register for this course?
IT Dojo training is employer sponsored, your organization registers and pays for seats. To schedule Machine Learning Engineering on AWS for your team, contact IT Dojo via the Request Training form or call 757-216-3656. IT Dojo will work with your contracting officer, training coordinator, or program office to set up the course.