[Udemy Course] AWS Certified Machine Learning Engineer Associate: Hands On! by Sundog Education by Frank Kane, Stephane Maarek

What you’ll learn

Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam.

Understand and apply key AWS machine learning services like SageMaker, Bedrock, and more.

Perform data preparation, feature engineering, and data validation for ML models.

Master hyperparameter tuning, model training, and deployment strategies on AWS.

Implement CI/CD pipelines and automation for scalable machine learning workflows.

Secure, monitor, and optimize AWS ML infrastructure for performance and cost-efficiency.

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 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 20-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the exam

Data 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 solutions on AWS.

Monitoring & Security: Discover how to monitor ML models and infrastructure, optimize costs, and secure your AWS environment, ensuring compliance and performance.

Why Choose Us?

Proven Track Record: Our instructors have helped millions of students achieve their AWS certification goals.

Real-World Experience: Learn from experts who have worked at Amazon and have extensive experience with AWS services.

Comprehensive Coverage: This course covers everything you need to pass the exam—from AWS service knowledge to advanced machine learning topics that the exam will test you on.

Who Should Enroll?

This course is perfect for anyone preparing to take the AWS Certified Machine Learning Engineer Associate Exam. If you’re serious about your certification and want to ensure you walk into the exam center with confidence, this course is for you.

Don’t Leave Your Success to Chance

This certification is tough, and the stakes are high. Don’t risk hundreds of dollars on an exam until you’re fully prepared. Enroll now and take the first step towards becoming an AWS Certified Machine Learning Engineer!

Enroll Today and Start Your Journey to Certification Success!

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