Microsoft
Building AI Cloud Apps with Microsoft Azure Specialization
Microsoft

Building AI Cloud Apps with Microsoft Azure Specialization

Master Azure cloud development and building AI solutions. Learn how to create scalable, intelligent cloud applications using Microsoft Azure.

Microsoft

Instructor: Microsoft

Included with Coursera Plus

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Get in-depth knowledge of a subject
4.6

(44 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.6

(44 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • 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 

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
167 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Microsoft

Specialization - 10 course series

What you'll learn

  • Develop an Azure Function

  • Deploy an Azure Function

  • Evaluate Azure services for integration and process automation scenarios

  • Test an Azure Function

Skills you'll gain

Serverless Computing, Microsoft Azure, GitHub, Event-Driven Programming, Cloud Development, Application Programming Interface (API), Cloud Applications, Microservices, Microsoft Development Tools, Business Process Automation, Cloud API, and Event Monitoring

What you'll learn

  • 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

Skills you'll gain

Microsoft Azure, Event-Driven Programming, Cloud Development, Cloud Storage, Microservices, Cloud Applications, Middleware, Communication Systems, C# (Programming Language), Distributed Computing, Platform As A Service (PaaS), Cloud Services, and Real Time Data

What you'll learn

  • The basics of storage management in Azure

  • How to create a Storage Account

  • How to choose the right model for your data

Skills you'll gain

Data Storage, Cloud Storage, Microsoft Azure, Authentications, Cloud Security, Data Storage Technologies, Unstructured Data, Analytics, Key Management, Cloud Applications, Application Development, Data Architecture, Data Management, and Data Security

What you'll learn

  • 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

Skills you'll gain

Virtual Machines, Microsoft Azure, Linux, Node.JS, Infrastructure As A Service (IaaS), MongoDB, Service Management, Javascript, Virtualization, Linux Administration, Application Deployment, Virtualization and Virtual Machines, Cloud Hosting, Cloud Applications, Cloud Development, Web Applications, and Linux Servers

What you'll learn

  • 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

Skills you'll gain

Microsoft Azure, Scalability, Docker (Software), Application Deployment, Microsoft Visual Studio, Continuous Deployment, Web Applications, Development Environment, Platform As A Service (PaaS), Integrated Development Environments, Cloud Applications, Containerization, and ASP.NET

What you'll learn

  • How to identify guiding principles for responsible AI

  • How to identify features of common AI workloads

Skills you'll gain

Artificial Intelligence, Microsoft Azure, Responsible AI, Machine Learning, Natural Language Processing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, and Anomaly Detection

What you'll learn

  • 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

Skills you'll gain

Microsoft Azure, Machine Learning, Supervised Learning, Regression Analysis, Machine Learning Algorithms, Predictive Modeling, Unsupervised Learning, Artificial Intelligence, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), No-Code Development, and Automation

What you'll learn

  • How to identify Azure tools and services for computer vision tasks

  • How to identify common types of computer vision solutions

Skills you'll gain

Computer Vision, Microsoft Azure, Machine Learning, Deep Learning, Application Development, Unstructured Data, Artificial Intelligence, Data Processing, Image Analysis, and Natural Language Processing

What you'll learn

  • 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

Skills you'll gain

Microsoft Azure, Natural Language Processing, Cloud API, Unstructured Data, Artificial Intelligence, Analytics, Artificial Intelligence and Machine Learning (AI/ML), Application Development, and Text Mining

What you'll learn

Skills you'll gain

Prompt Engineering, Application Development, Computer Programming, Microsoft Copilot, Generative AI, Development Environment, and Integrated Development Environments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Microsoft
239 Courses1,929,390 learners

Offered by

Microsoft

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