| Instructor | Office Location & Hours | |
|---|---|---|
| Paul DeCarlo | pdecarlo@microsoft.com | Contact via e-mail 24/7/365 |
| Room |
|---|
| Microsoft Teams |
The course will cover: (a) Cloud Services - The primary technology focus will be on the Microsoft Azure Platform and cover scalable services / websites / virtual machines; (b) Platform as a Service offerings to support scalable web development / deployment with WordPress on Azure. (c) Introduction to AI concepts including computer vision and the development of custom object detection models. (d) Internet of Things applications using GPU accelerated embedded devices to employ object detection models and publish inference results to the cloud.
Take a closer look at the description above. That's right, in addition to creating a scalable website we will create artificially intelligent object detection models, and deploy AI workloads onto GPU-accelerated IoT devices to publish inference results into the Azure Cloud as part of this course! Do not worry about prerequisites, we will use templates and tools to facilitate course assignments to ensure that you are successful in understanding and applying the concepts that are covered.
The course style will be lecture based with hands-on-labs and online modules selected from Microsoft Learn. The lecture content will cover overviews of cloud concepts, web development basics, design methodologies, AI concepts, and the Internet of Things. The majority of the grade is reliant upon successful completion of the course projects and a final presentation.
The course instruction materials can be found online @ https://aka.ms/cloudpoweredappdev
A personal machine capable of running the development tools.
Check the Folder for the corresponding class day for a summary of all presentation content, quizzes, homework, and MS Learn Modules. You will want to make sure all homework and quizzes are completed before class the next day. MS Learn Modules should be completed on the day assigned, although you may work on them at your leisure which includes skipping ahead as well as postponing. Be warned that letting these pile up could make for a very stressful evening before final presentations. I will check all students for completion of these modules at the beginning of the last day of class.
| Day 1 | Suggested Time |
|---|---|
| Introduction | 30 Mins |
| Create Azure Accounts | 15 Mins |
| Create Microsoft Learn Accounts | 15 Mins |
| Enroll in Cloud Skills Challenge | 15 Mins |
| Enroll in Microsoft Imagine Cup | 15 Mins |
| Enroll in Deep Learning Institute | 15 Mins |
| Presentation - Intro to Azure | 15 Mins |
| Azure Fundamentals | 1 hour |
| Deploy Windows VM | 1 hour |
| Brainstorming Website Ideas | 1 hour |
| Deploy WordPress Instance on Azure | 1 hour |
| Work on Website and Design Documents | 1 hour |
| MS Learn Modules | 1 hour |
| Homework | 1 hour |
| Day 2 | Suggested Time |
|---|---|
| Presentation - Interactive Introduction to WordPress | 1 hour |
| Instructor-Assisted Website Development | 3 hours |
| Presentation - All About the Internet of Things | 1 hour |
| MS Learn Modules | 1 hour |
| Homework | 1 hour |
| Day 3 | Suggested Time |
|---|---|
| Discuss Web Sites | 30 minutes |
| Presentation - GPU Accelerated IoT Workloads at the Edge | 1 hour |
| Fundamentals of Deep Learning - Workshop | 4 hours |
| MS Learn Modules | 1 hours |
| Homework | 1 hour |
| Day 4 | Suggested Time |
|---|---|
| Fundamentals of Deep Learning - Workshop | 4 hours |
| Presentation - Intelligent Home Security with NVIDIA Jetson | 1 hour |
| Homework | 1 hour |
| Day 5 | Suggested Time |
|---|---|
| Class Presentations | 4 hours |
- Quizzes 10%
- Design Documents 10%
- Publishing Scalable Web Site 20%
- DLI Lab 10%
- Design IoT Solution 10%
- Online Learn Modules 20%
- FinalPresentation 20%
Final Grade will be determined by the sum of the above criteria.
- A = 90 – 100
- B = 80 – 89
- C = 70 – 79
- D = 60 – 69
- F = 0 - 59