AWS Classroom Training
Machine Learning Engineering on AWS
Learn how to transform your ML expertise into real-world solutions from an expert AWS Instructor
Machine Learning Engineering on AWS
Transform your ML expertise into production-scale solutions on AWS. Learn to build, deploy, and operationalize machine learning applications using Amazon SageMaker and EMR. Perfect for ML professionals seeking AWS certification, this hands-on course delivers practical skills for implementing enterprise-grade ML solutions in this three-day course.

Course details
Course overview
- Level: Intermediate
- Type: Classroom (virtual and in person)
- Length: 3 days
What you'll learn
- 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.
Who should take this course
- Machine Learning Engineers
- DevOps Engineers
- Developers
- SysOps Engineers
What experience you'll need
- Familiarity with basic machine learning concepts, such as supervised and unsupervised learning, regression, classification, and clustering algorithms.
- Working knowledge of Python programming language and common data science libraries like NumPy, Pandas, and Scikit-learn.
- Basic understanding of cloud computing concepts and familiarity with the AWS platform.
- Familiarity with SQL and relational databases is recommended but not mandatory.
- Experience with version control systems like Git is beneficial but not required.
What languages are offered
This course is offered in the following languages: English.
We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.