Cloud Bootcamp

This module is developed for those that are new to the entire cloud concept and will cover the Microsoft accredited six-part series that teaches you basic cloud concepts, provides a streamlined overview of many Azure services, and guides you with hands-on exercises to deploy your very first services for free.

Introduction to Microsoft Azure fundamentals and core Azure architectural components. This section helps you to know the Microsoft Azure compute services, storage services, analytics and database.

You will have to learn all the tools and services from Microsoft Azure. In this learning path, you'll be introduced to many of these tools and services and will be asked to help choose the best one for a given business scenario.

This module will teach about the various Azure services you can use to help ensure that your cloud resources are safe, secure, and trusted. Every application and service, whether on-premises or in the cloud, needs to be designed with security in mind. Security needs to happen at the application level, at the data level, and at the network level.

Learn how Azure can help you secure access to cloud resources, what it means to build a cloud governance strategy, and how Azure adheres to common regulatory and compliance standards.

Learn about the factors that influence cost, tools you can use to help estimate and manage your cloud spend, and how Azure's service-level agreements (SLAs) can impact your application design decisions.

Learn how to organize data within a database, and access it using Structured Querying Language (SQL). Develop core querying skills, including how to manipulate data within a database and connect your data to other tools.

In this course, you will learn the basics of deploying an application to Azure. Understand the benefits and costs of cloud deployments, different types of service models, and how to navigate the Microsoft Azure platform. Distinguish two types of compute services in Azure, virtual machines and app services, when to use each, and how to deploy applications onto the related service.

In this course, you will learn how to implement a serverless microservice back-end architecture in Python using Azure cloud serverless offerings. You’ll compare and contrast common Azure microservices architecture and compute options, configure an instance of a MongoDB database with Azure CosmosDB, and allow the API to talk to this database. You will also apply Enterprise Logic Apps and Event Grid to structure an application workflow. Finally, you’ll deploy published API endpoints so they provide the necessary responses to complete the client-side requests of the front-end web application.

This course focuses on the techniques, processes, and nuances of migrating an existing application to Azure. It will cover the whole end-to-end process of an Azure migration from predicting costs of the migration to refactoring the code to ensure the application and corresponding databases are compatible with Azure. In addition, the course walks through best practices of the different application components migrated to Azure: web applications, background processes, and databases.

This course enables students to acquire skills which allow them to collect data about the health & performance of an application, analyze and display the collected data to make informed decisions, and create automation to remedy application health or performance issues. You will set up and use; Application Insights on a variety of Azure resources, and use the Application Insights SDK in a P ython application to collect and transmit data about the application. You’ll also query, transform, and display the collected application data so that the data can easily be analyzed, and use automation in Azure to manage cloud resources.