Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects.

The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices.

Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.

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Spis treści

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices eBook -- spis treści

• 1. High-Performance Computing Fundamentals
• 2. Data Management and Transfer
• 3. Compute and Networking
• 4. Data Storage
• 5. Data Analysis
• 6. Distributed Training of Machine Learning Models
• 7. Deploying Machine Learning Models at Scale
• 8. Optimizing and Managing Machine Learning Models for Edge Deployment
• 9. Performance Optimization for Real-Time Inference
• 10. Data Visualization
• 11. Computational Fluid Dynamics
• 12. Genomics
• 13. Autonomous Vehicles
• 14. Numerical Optimization