Career Accelerator: AWS Machine Learning Engineer

Affordable High-Value Training

Our cost-effective AWS Machine Learning Engineer (UCI 7005) is an immersive 15 week course that blends hands-on learning, expert instruction, and a career-focused curriculum for optimal success. This advanced course equips learners with data engineering for ML, model training strategies, MLOps orchestration, and AI governance. Using Amazon SageMaker, AWS Bedrock, and AWS Glue, learners will gain real-world experience building automated ML pipelines, deploying scalable endpoints, and monitoring model performance in production. As part of the course, learners will prepare and test for the AWS Certified Machine Learning Engineer – Associate (MLA-C01). Whether you’re looking to upskill, pivot careers, or deepen your expertise, AWS Machine Learning Engineer Associate delivers the knowledge and confidence to accelerate your
professional journey.

What You’ll Learn

Upon successful completion of all course requirements, learners will:

• Identify core AWS Machine Learning services and explain their role within the end-to-end ML lifecycle.
• Apply data engineering principles to ingest, clean, and transform large datasets using AWS Glue and SageMaker Data Wrangler.
• Evaluate model performance and bias using SageMaker Clarify and Model Monitor to ensure ethical and accurate AI outcomes.
• Develop robust MLOps pipelines that automate the training, deployment, and versioning of machine learning models.
• Design secure and scalable ML architectures that integrate CI/CD workflows, VPC security, and IAM governance.
• Obtain the AWS Machine Learning Engineer Associate certification upon successfully passing the examination at the conclusion of the course

Note: A $500 Income-Based Reduced Fee for alumni earning under $60,000 annually. Spots are limited and granted on a first-come, first-served basis, pending income verification, to ensure income is not a barrier to participation.

This course is currently run by our Per Scholas Detroit campus and is only available to applicants who reside in the following locations: Arizona, Maryland, Florida, Illinois, Michigan, New Jersey, and New York. Eligibility is subject to location-based compliance requirements.