Course Outline

Introduction to Microsoft Azure for Government

  • Overview of Azure services and cloud computing capabilities for government agencies
  • Setting up an Azure subscription and environment tailored for government use
  • Understanding resource groups, virtual machines, and networking configurations for government operations

Building Event-Driven and Serverless Architectures for Government

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

Managing Storage and Databases in Azure for Government

  • Exploring Azure Storage options (Blob, Table, Queue, File) for government data management
  • Managing Azure SQL Database and Cosmos DB for secure government data storage
  • Integrating storage solutions into cloud applications for enhanced government operations

Deploying Web Applications in Azure for Government

  • Understanding Azure App Service and deployment models suitable for government web applications
  • Building and deploying containerized applications using Docker for government projects
  • Scaling web applications using Kubernetes and Azure Container Instances to meet government demands

Integrating AI and Machine Learning in Cloud Apps for Government

  • Introduction to Azure AI and Cognitive Services for government initiatives
  • Using Azure Machine Learning Studio to develop models for government applications
  • Implementing computer vision and natural language processing solutions for government use cases

DevOps and CI/CD in Azure for Government

  • Setting up CI/CD pipelines using Azure DevOps to streamline government project delivery
  • Managing infrastructure as code with Terraform and Bicep for government cloud environments
  • Monitoring and logging applications using Azure Monitor to ensure compliance and performance in government systems

Enhancing Development with GitHub Copilot for Government

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

Capstone Project: Building an AI-Powered Cloud Application for Government

  • Designing a scalable AI cloud solution for government needs
  • Developing and deploying the application to support government operations
  • Optimizing performance, security, and monitoring to ensure robust government services

Summary and Next Steps for Government Projects

Requirements

  • Fundamental understanding of cloud computing concepts for government applications
  • Practical experience with at least one programming language (Python, JavaScript, or C# are preferred)
  • Proficiency in web application development and database management

Audience

  • Cloud developers and software engineers for government projects
  • AI practitioners and data scientists interested in integrating cloud AI solutions for government initiatives
  • IT professionals and DevOps engineers supporting government systems
 35 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories