The AWS Certified Machine Learning Engineer – Associate (MLA-C01) program prepares students with the knowledge and practical skills to build, deploy, manage, and optimize machine learning solutions on the AWS Cloud. Students learn data preparation, feature engineering, model development, Amazon SageMaker, MLOps, model deployment, monitoring, AI security, and responsible AI practices. The course combines instructor-led instruction with hands-on AWS labs and real-world machine learning projects to prepare learners for the AWS Certified Machine Learning Engineer – Associate certification.
Curriculum
- 12 Sections
- 0 Lessons
- 12 Weeks
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- Week 1 Introduction to Machine Learning on AWS0
- Week 2 Data Collection and Preparation0
- Week 3 Machine Learning Fundamentals0
- Week 4 Amazon SageMaker Fundamentals0
- Week 5 Building and Training Machine Learning Models0
- Week 6 Deploying Machine Learning Models0
- Week 7 Machine Learning Operations (MLOps)0
- Week 8 Monitoring and Optimizing ML Solutions0
- Week 9 AWS AI Services and Foundation Models0
- Week 10 Security, Governance, and Responsible AI0
- Week 11 Advanced Machine Learning Architectures0
- Week 12 Certification Preparation & Machine Learning Capstone0
