AWS Certified Machine Learning Engineer - Associate Online Training
Harness the power of AI and put it to work for your company’s needs. Prepare data, train AI and machine learning models, and deploy them securely with this AWS Machine Learning course. You’ll explore AI services like AWS SageMaker and AWS Glue and learn how to apply them in your everyday work. Don’t just study the entire AWS data pipeline — get hands-on with AI tools that simplify, accelerate, and enhance the work you’re already doing in the AWS ecosystem. At the same time, prepare for the AWS Certified Machine Learning Engineer – Associate, a career-advancing credential from the world’s cloud and AI powerhouse.
Updated December 2025
Who This Course Is For
This course is for DevOps engineers, system administrators, and cloud professionals looking to apply machine learning in AWS environments. It’s a great fit for anyone moving from on-prem operations to cloud-based AI projects and looking for practical, production-ready ML experience.
Skills Your Team Will Gain
- [
- 'Build and train machine learning models with Amazon SageMaker',
- 'Prepare and clean datasets using AWS Glue',
- 'Automate model deployment with AWS Lambda',
- 'Apply security and compliance best practices for ML workloads',
- 'Optimize training performance and costs with Amazon EC2',
- 'Monitor and evaluate model accuracy using Amazon SageMaker'
- ]
Course Curriculum
This course contains 20 skills covering 175 video lessons. Total duration: 20h 11m.
Detailed skill-by-skill breakdown coming soon.
Platform Features
- Expert trainers, not crowd-sourced
- Team reporting & compliance tracking
- Trainerbot in Slack & Mobile
- SSO / SAML integration
Certification
AWS Certified Machine Learning Engineer - Associate
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification validates the ability to design, implement, deploy, and maintain machine learning solutions on AWS. It is intended for individuals who perform a development or data scien...