AWS Machine Learning Engineer – Associate Roadmap
The four AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam domains: data preparation, ML model development, deployment & orchestration of ML workflows, and ML solution monitoring, maintenance & security.
concepts mastered
Data Preparation
0% · 0/8Ingesting, cleaning, transforming, engineering, splitting and storing data so it is ready to train ML models on AWS (Domain 1 · 28%)
Model Development
0% · 0/8Choosing approaches and algorithms, training and tuning models in SageMaker, evaluating them honestly, and detecting bias (Domain 2 · 26%)
Deployment & Orchestration
0% · 0/6Serving models with the right endpoint type, managing model versions, and automating ML workflows with pipelines and CI/CD (Domain 3 · 22%)
Monitoring & Security
0% · 0/6Monitoring models and infrastructure, detecting drift and retraining, securing ML solutions with IAM/VPC/KMS, and optimising cost (Domain 4 · 24%)
Finish line