IoT Architecture Design and Business Planning

Online Course

edX
IoT Architecture Design and Business Planning

What is the course about?

IoT Architecture Design and Business Planning
The course IoT Architecture Design and Business Planning is an online class provided by Microsoft through edX. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Ready to migrate your IoT projects to a production environment? Need to evaluate your solution architecture and business docs before committing resources? This course provides the expert guidance and hands-on experience that you need.

Course description

This course is part of the Microsoft Professional Program Certificate in IoT. Is your business preparing to roll out an IoT solution to a production environment? Do you need to evaluate your solution architecture or submit final business docs before committing valuable resources? Have you completed a thorough evaluation of the security risks that your business might be facing? This course provides the expert guidance and hands-on experience that you need in order to prepare for a successful IoT solution roll-out. Module 1 provides an overview of the IoT Reference Architecture, introducing Things, Insights and Actions. With a basic understanding of the architecture, students will examine the core and optional subsystems, cross-cutting concerns, principles and concepts of the Reference Architecture, and architecture of key subsystems. Module 2 uses the Remote Monitoring Solution Accelerator to explore the receipt and processing of remote device telemetry (the most common scenario for IoT) within the context of the Reference Architecture. Students will identify the areas of alignment and where the solution departs from the reference, as well as the tools used to deploy the solution. Students then review some options for customizing the Remote Monitoring solution and complete some customization activities. Students will also review additional accelerator solutions and learn when they may be applicable.   Module 3 introduces students to approaches that can be used to determine and document the business and system requirements that drive key factors such as security, scalability, availability, and disaster recovery service level agreements. They will then apply the requirements, develop a candidate architecture, build a PoC, deliver a cost analysis, and evaluate against quality measures. To finish up the module, students will propose the IoT Hub Operations, Monitoring and Security Processes and Procedures to support the candidate architecture. In Module 4 students take their defined business requirements and examine how to apply their understanding of IoT Architecture and the capabilities of Azure IoT to create a compelling proposal. They will learn the key attributes of the Azure Cloud and the Azure IoT architecture that should be emphasized, approaches for developing the cost of a proposal and other factors such as support. Students will also consider the steps necessary for moving from a Proof of Concept to a full rollout and how to support the solution.

Prerequisites & Facts

IoT Architecture Design and Business Planning

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Microsoft

Course Skill Level

Intermediate

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

IoT Architecture Design and Business Planning

To obtain a verified certificate from edX / Microsoft you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (99.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Microsoft
IoT Architecture Design and Business Planning
provided by edX

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School: Microsoft
Topic: Computer Science