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
Testimonials (5)
It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.
Arturo Sanchez - INAIT SA
Course - Microsoft Azure Infrastructure and Deployment
Assimilable form of classes
Marek - Uniwersytet Szczecinski
Course - AZ-104T00-A: Microsoft Azure Administrator
I've got to try out resources that I've never used before.
Daniel - INIT GmbH
Course - Architecting Microsoft Azure Solutions
The Exercises
Khaled Altawallbeh - Accenture Industrial SS
Course - Azure Machine Learning (AML)
very friendly and helpful