In this module, you’ll understand cloud computing, the advantages and disadvantages of cloud service, different cloud deployment models, and the cloud service model.

Introduction to Azure services, understanding the core Azure services, Azure region, and Azure resource manager.

Concepts associated with Azure security. Understanding Azure security measures, Azure identity management, and Azure compliance.

Understanding the Azure Architecture, including Azure subscription, Azure resource manager templates, and Azure marketplace.

Includes Azure pricing and support. Understanding Azure pricing and licensing, Azure support options, and Azure service level Agreements (SLAs)

Understanding the cloud-based service for creating and managing machine learning (ML). Learn how it’s used to help data scientists and machine learning engineers leverage their existing data processing and model development skills & frameworks.

Understanding the core AWS services, their use cases, and how to configure them. You’ll also learn how it allows application providers, ISVs, and vendors to quickly and securely host applications – whether an existing application or a new SaaS-based application.

In this module, you’ll learn how to design and deploy scalable, highly available, and fault-tolerant systems on AWS.

You’ll learn how to select the appropriate AWS services based on the data, compute, database, or security requirements of a given application.

Understanding how to use AWS networking and security services to secure and scale applications.

Understanding how to architect and deploy AWS-based applications using AWS Elastic Beanstalk, AWS cloud formation, and AWS OpsWorks.

This module is designed to help you understand the overall landscape of Google Cloud. Here, you’ll take a brief look at some of the commonly used features and get pointers to documentation that can help you go deeper. Knowing what’s available and how the parts work together can help you make decisions about how to proceed.