Course Outline
Introduction to Microsoft Azure
- Overview of Azure services and cloud computing.
- Setting up an Azure subscription and development 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
Requirements
- Foundational understanding of cloud computing principles.
- Experience with at least one programming language (Python, JavaScript, or C# are preferred).
- Familiarity with web application development and database management.
Target Audience
- Cloud developers and software engineers.
- AI specialists and data scientists interested in integrating AI into cloud environments.
- IT professionals and DevOps engineers.
Testimonials (3)
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
The course, Trainer
Novat Adam - Tanzania Revenue Authority
Course - Architecting Microsoft Azure Solutions
The details and the presentation style.
