The AWS Certified Machine Learning Engineer – Associate (MLA-C01) program prepares students with the skills needed to build, deploy, maintain, and monitor machine learning solutions on AWS. Students learn machine learning workflows, data preparation, model development, Amazon SageMaker, model deployment, machine learning operations (MLOps), security, monitoring, and optimization. The course combines machine learning theory with hands-on AWS cloud labs to prepare learners for machine learning engineering roles.
Curriculum
- 12 Sections
- 0 Lessons
- 12 Weeks
Expand all sectionsCollapse all sections
- Week 1 Introduction to Machine Learning Engineering0
- Week 2 Data Engineering Fundamentals for ML0
- Week 3 AWS Machine Learning Services Overview0
- Week 4 Machine Learning Model Development0
- Week 5 Amazon SageMaker Fundamentals0
- Week 6 Machine Learning Data Processing and Feature Engineering0
- Week 7 Model Deployment and Inference0
- Week 8 Machine Learning Operations (MLOps)0
- Week 9 Monitoring and Optimization of ML Solutions0
- Week 10 Security and Governance for Machine Learning0
- Week 11 Advanced ML Applications and Cloud Integration0
- Week 12 ML Engineer Capstone Project & Certification Preparation0
