This course is designed to help students gain valuable and in-depth architecture skills on Microsoft Azure along with gaining the essential skills to pass Microsoft Exam 70-534. This course will put the attendees through several interactive architecture sessions where as one or more teams they will design the appropriate solution to address an architecture scenario based on several services in Microsoft Azure.
Key Learning Areas
- Understand key capabilities of several Azure services
- Understand the different compute options Azure offers such as Web Apps, Virtual Machines, Batch, Cloud Services, and introductory Service Fabric.
- Understand how to architect solutions using Azure Infrastructure-as-a-Service (IaaS)
- Understand how to secure applications and data in Azure
- Understand how to architect solutions that require hybrid identity with Azure AD
- Understand how to architect solutions that have a variety of needs for different data sources
Architecting Azure Infrastructure as a Service
Learn how to design solutions using Azure Infrastructure as a Service Components. This module will focus on core capabilities, use cases, and general best practices.
Architecting Azure Hybrid Identity
Learn the core capabilities and use cases of Azure Active Directory (AD). This module will emphasize strategies and techniques for integrating on-premises Active Directory with an Azure AD environment.
Architecting Azure Governance
We'll walk you through how to use features and capabilities within Azure to architect solutions to apply governance at scale with Microsoft Azure. This will include architecting the Azure EA portal for delegated access and charge back and discuss features like implementing role based access control (RBAC), and resource manager policies to enable enterprise control of an Azure deployment.
Architecting Azure Connectivity
We'll discuss the capabilities of the Azure networking stack for connecting networks. This module will focus on capabilities and use cases so the student will be able to make an educated decision on connectivity requirements.
Architecting a DevOps Solution
We'll cover how DevOps methodologies can be implemented in Microsoft Azure. This module will focus on several key technologies such as configuration management with Azure Automation DSC, Chef, and Puppet, to Azure Resource Manager templates and command line tools.
Security in the Cloud
Learn key technologies and best practices for implementing secure workloads and securing data in the cloud.
Architecting a Hybrid Management Solution
Attendees will learn how to design a solution that enables automated management and monitoring of hybrid infrastructure workloads. This solution will show students how to identify events that occur either on-premises or in the cloud and enable automation to resolve them.
Architecting for Business Continuity
We'll cover how to design a solution that enables reliable offsite backups for key enterprise workload as well as designing solutions for hybrid workload failover between on-premises and Azure.
Architecting Azure App Services
Learn the core capabilities and use cases of Azure App Services. This module will focus on capabilities from Web, Mobile, Logic, and API apps on Azure.
Choosing the Right Storage
We'll discuss the various storage options from SQL Database to NoSQL and Document-based database technologies. This module is focused on choosing the right tool for the right job and considering the decision points architects will make when designing storage for their apps.
Architecting Global Solutions
You'll learn how to use technologies like Traffic Manager and platform replication strategies to architect solutions for global scale and availability.
Architecting Big Data Solutions
This module will provides an overview of big data and IoT solutions in Azure. We will look at the Azure components used in big data solution and how they fit together to build an end-to-end lambda architecture in Azure.
Real-Time Data Ingestion in Azure
Attendees will learn about the protocols for real-time ingest including HTTP, AMQP and MQTT and the storage of data received using queue-based services provided by IoT Hub and Event Hubs.
Introduction to Machine Learning
A jump-start into machine learning processes critical to understanding more advanced Azure ML architecture. Topics will include data connections, sampling, modeling, and data cleansing.
Architecting Scalable Services
Let's architect highly scalable micro-services architectures using Azure Service Fabric. This session will focus on design principles and patterns as well as capabilities of apps built on Service Fabric.
IT Professionals, Developers, and Architects
Intermediate understanding of Microsoft Azure