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Course Outline
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
Requirements
- 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
35 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £9500 online delivery, based on a group of 2 delegates, £3000 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses
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
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
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
The practical part, I was able to perform exercises and to test the Microsoft Azure features
