Theory | Hands-On Labs | Full Practice Exam with Explanations | Downloadable PDF Slides | Pass the certification exam
What you will learn
Master key AWS ML services including SageMaker, Bedrock, and Comprehend through hands-on demonstrations and practical implementation.
Design, deploy, and monitor machine learning pipelines on AWS using services like CloudWatch, CloudTrail, and SageMaker Model Monitor.
Implement data preparation workflows using AWS analytics services including Glue, EMR, and Athena for effective ML model development.
Develop secure and cost-effective ML solutions by implementing best practices in IAM policies, encryption, and resource optimization.
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