OVERVIEW
Program Overview
Master cloud engineering, data infrastructure, and machine learning workloads on the world’s leading cloud platform. This AWS program provides hands-on experience with core compute, storage, analytics, and serverless services equipping you to design scalable architectures, build automated pipelines, and deploy intelligent applications in production.
TOOLS
Key Services
CONTENTS
Curriculum
Learn how to design, store, and organize large-scale data using S3, Lake Formation, Redshift, and Athena for fast, accessible analytics.
Build scalable applications without managing servers by leveraging event-driven functions, API integrations, and automated workflows.
Use SageMaker to prepare data, train models, tune hyperparameters, and deploy secure, production-ready ML endpoints.
Process large datasets using distributed compute engines, automated ETL pipelines, and real-time streaming analytics.
Apply AWS best practices for identity management, encryption, networking, and cost governance to build resilient and efficient systems.
Implement automation with CloudWatch, Step Functions, and CodePipeline to streamline deployments and maintain reliable cloud operations.
Start your AWS journey today.
Join thousands of professionals advancing their careers in AWS
