I passed the AWS Certified Machine Learning Engineer — Associate (MLA-C01) exam in just two weeks of focused prep. This repo shares a brief summary of how I did it and what worked for me.
With a few years of ML experience, I wanted to validate my skills and grow my AWS credibility. The MLA-C01 felt like the perfect challenge to level up professionally.
- Focused on hands-on practice instead of long theory courses
- Spent time with AWS documentation for SageMaker, Lambda, and Rekognition
- Brushed up on model tuning, deployment, and monitoring pipelines
- Reviewed real-world ML use cases and architecture patterns on AWS
Exam Guide: https://algoholic.io/exams/aws-certified-machine-learning-engineer-associate-mla-c01
One key resource that helped me prepare effectively was Certifiedumps. https://www.certifiedumps.com/amazon/mla-c01-dumps.html
Their practice questions were realistic and made me more confident about the exam structure and question style.
You can see my official certificate above 👆
This certification is absolutely doable — even on a short timeline — if you focus on the core AWS ML services and apply your existing ML knowledge. Best of luck to everyone preparing!