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AWS Certified Machine Learning Engineer Associate: Hands On!

Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

$10.99 (90% OFF)
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About This Course

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. 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!

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.