Building AI Cloud Apps with Microsoft Azure

• Basic knowledge of cloud computing concepts
• Experience with at least one programming language (Python, JavaScript, or C# preferred)
• Familiarity with web application development and databases

Audience

• Cloud developers and software engineers
• AI practitioners and data scientists interested in cloud AI integration
• IT professionals and DevOps engineers

Microsoft Azure is a cloud computing platform that provides a wide range of services for building, deploying, and managing AI-powered applications.

In this course, participants will learn to develop, deploy, and scale intelligent cloud solutions, utilizing Azure services such as Azure Functions, Azure App Service, Azure AI Services, and Azure Machine Learning. Additionally, participants will explore how to use GitHub Copilot to enhance productivity and streamline cloud application development.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure.

By the end of this training, participants will be able to:

• Develop event-driven and serverless applications using Azure Functions.
• Manage Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing using Azure AI Services.
• Leverage GitHub Copilot to assist in AI-driven cloud application development.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Microsoft Azure

• Overview of Azure services and cloud computing
• Setting up an Azure subscription and environment
• Understanding resource groups, virtual machines, and networking

Building Event-Driven and Serverless Architectures

• Introduction to Azure Functions and serverless computing
• Creating event-driven applications using Azure Event Grid and Service Bus
• Developing serverless APIs and workflows

Managing Storage and Databases in Azure

• Exploring Azure Storage (Blob, Table, Queue, File)
• Managing Azure SQL Database and Cosmos DB
• Integrating storage solutions into cloud applications

Deploying Web Applications in Azure

• Understanding Azure App Service and deployment models
• Building and deploying containerized applications using Docker
• Scaling web applications using Kubernetes and Azure Container Instances

Integrating AI and Machine Learning in Cloud Apps

• Introduction to Azure AI and Cognitive Services
• Using Azure Machine Learning Studio to develop models
• Implementing computer vision and natural language processing

DevOps and CI/CD in Azure

• Setting up CI/CD pipelines using Azure DevOps
• Managing infrastructure as code with Terraform and Bicep
• Monitoring and logging applications using Azure Monitor

Enhancing Development with GitHub Copilot

• Introduction to GitHub Copilot and AI-powered coding assistance
• Using Copilot to write, debug, and optimize cloud application code
• Best practices for leveraging AI-assisted coding in cloud development

Capstone Project: Building an AI-Powered Cloud Application

• Designing a scalable AI cloud solution
• Developing and deploying the application
• Optimizing performance, security, and monitoring

Summary and Next Steps