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Master Azure cloud development and building AI solutions. Learn how to create scalable, intelligent cloud applications using Microsoft Azure.
Instructor: Microsoft
Included with
(14 reviews)
Recommended experience
Intermediate level
Data sci & software engineering experience not required but general programming knowledge helpful. Must know cloud, gen'l computing, & basic ML/AI.
(14 reviews)
Recommended experience
Intermediate level
Data sci & software engineering experience not required but general programming knowledge helpful. Must know cloud, gen'l computing, & basic ML/AI.
Develop and deploy create event-driven, serverless architectures with Microsoft Azure
Manage and select appropriate Microsoft Azure storage solutions
Deploy and manage containerized web applications using Azure App Service
Integrate Microsoft Azure machine learning, computer vision, and natural language processing into software solutions
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October 2024
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This Building AI Cloud Apps with Microsoft Azure program offers a comprehensive nine-course program that covers a wide range of topics on developing cloud and AI solutions with Microsoft Azure, including Azure Functions, Azure Service Bus, Azure Storage, Azure Virtual Machines, and Azure App Service.
You will learn to create event-driven systems, master publish-subscribe patterns, manage Azure storage options, and deploy web applications using Azure App Service. After which, the specialization will discuss developing intelligent software solutions with artificial intelligence and machine learning using Microsoft Azure, including exploring key AI concepts and building practical AI applications. You will gain hands-on experience with Azure Machine Learning Studio, Azure Computer Vision Services, and Azure Natural Language Processing Services. You’ll also learn how to use GitHub Copilot to improve your efficiency as a software developer.
By completing this program, you will be well-equipped to design, develop, and deploy sophisticated cloud solutions that incorporate cutting-edge AI capabilities, positioning your software development ability to the forefront of the rapidly evolving field of cloud computing and artificial intelligence.
Applied Learning Project
Throughout the specialization, learners will work on various hands-on projects that simulate real-world business scenarios. These projects will range from building serverless cloud solutions using Azure Functions to building language translation solutions using Azure Natural Language Services. These projects include:
Developing serverless, event-driven software solutions with Azure Functions and Azure Event Bus
Implementing storage solutions and managing virtual machines in Azure
Building and deploying web applications using Azure App Service and Docker containers
Implementing AI, computer vision, and natural language processing solutions using Azure AI Services
Develop an Azure Function
Deploy an Azure Function
Evaluate Azure services for integration and process automation scenarios
Test an Azure Function
How Azure Functions enable the creation of event-driven, compute-on-demand systems that can be triggered by various external events.
Implement the publish-subscribe pattern in the cloud using Azure Queue storage
Use Azure Service Bus topics and queues in a distributed architecture to ensure reliable communications
Connect sending and receiving applications with Event Hubs so you can handle extremely high loads without losing data
The basics of storage management in Azure
How to create a Storage Account
How to choose the right model for your data
Learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps
Create and manage a virtual machine. Work with Windows virtual machines in Azure
Build a run a web application with the MEAN stack
Create and manage a Linux virtual machine
Use deployment slots to streamline deployment and roll back a web app in Azure App Service
Implement and deploy a web app to Azure App Service
Use the publishing features of Visual Studio 2019 to deploy and manage an ASP.NET Core web application hosted on Azure
Deploy and run a containerized web app with Azure App Service
How to identify guiding principles for responsible AI
How to identify features of common AI workloads
How to describe capabilities of no-code machine learning with Azure Machine Learning Studio
How to identify core tasks in creating a machine learning solution
How to describe core machine learning concepts
How to identify common machine learning types
How to identify Azure tools and services for computer vision tasks
How to identify common types of computer vision solutions
How to describe features of Natural Language Processing (NLP) workloads on Azure
How to identify features of common NLP Workload Scenarios
How to identify Azure tools and services for NLP workloads
Join our course led by Gabe Leon de Mattos, a seasoned developer and leader. You will learn how to use GitHub Copilot.
This course is for developers who want to be more productive with GitHub Copilot. You'll learn how to use GitHub Copilot in real projects. The course is hands-on and lasts 90 minutes. You'll set up Copilot, write better prompts, and work Copilot into your coding routine. By the end of the course, you will be able to: - Work confidently with GitHub Copilot to accelerate your coding endeavors - Use prompt engineering to generate relevant code suggestions on real projects - Navigate AI outputs, and integrate them into your projects. You will finish the course with the skills to write better code faster. This will give you more time to solve difficult problems. To succeed in this course, it's recommended to have basic Python knowledge and be familiar with Visual Studio Code (VSCode).
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more. In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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