AWS Certified Machine Learning Engineer Associate: Hands On!
About this course
FULLY UPDATED for the MLA-C02 exam released in September 2026. Practice exam included.Get certified by Amazon for your knowledge of machine learning on AWS! Prepare to ace one of the most challenging certifications in the cloud domain—the AWS Certified Machine Learning Engineer Associate Exam! Whether you're a backend developer, data engineer, or data scientist, this comprehensive course is your gateway to success.Why This Course?This course is expertly crafted by industry veterans Frank Kane and Stephane Maarek, who have collectively educated over 3 million students on Udemy. Frank Kane, with over 9 years of experience at Amazon, has specialized in machine learning and AI, and Stephane Maarek is an AWS expert and renowned instructor. Together, they bring an unparalleled depth of knowledge to guide you through every aspect of the exam.What You’ll Learn:Master AWS ML and AI Services: Dive deep into Amazon SageMaker, Amazon Bedrock, and a host of other AWS services like Comprehend, Rekognition, and Translate, which are crucial for the exam.Hands-on Labs: Gain practical experience with hands-on activities, labs, and demos that reinforce your understanding and help you build confidence.Practice Exam and Practice Questions: A full-length 65-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the examData Preparation & Feature Engineering: Learn how to ingest, transform, and validate data for ML modeling, ensuring data integrity and model readiness.Model Development & Deployment: Explore hyperparameter tuning, model performance analysis, and best practices for deploying scalable ML and AI solutions on AWS.
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What you'll learn
- Master AWS ML Services, including Amazon SageMaker and Amazon Bedrock
- Gain practical experience through hands-on labs and demos
- Understand data preparation and feature engineering for ML modeling
- Learn about model development, hyperparameter tuning, and deployment practices
- Discover monitoring and security best practices for ML models on AWS
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