Develop AI Cloud Solutions on Azure (AI-200)

Duration: 5 days
Exam Voucher: Yes
Language: English
Level: Intermediate

Learn to develop, deploy, integrate, and monitor AI-powered cloud applications using Microsoft Azure. This course provides developers with practical skills in containerized application hosting, serverless computing, event-driven architectures, and Azure data services that support AI workloads.

Explore Azure Container Apps, Azure Kubernetes Service, Azure Functions, Cosmos DB, PostgreSQL, and Azure Managed Redis while learning to build secure, scalable, and reliable AI cloud solutions.

Develop AI Cloud Solutions on Azure (AI-200) Delivery Methods

In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.

Develop AI Cloud Solutions on Azure (AI-200) Training Information

In this course, you will learn how to:
- Deploy and manage containerised applications using Azure Container Apps and Azure Kubernetes Service.
- Develop scalable AI application backends using Azure data services.
- Integrate cloud services using serverless and event-driven architectures.
- Secure application secrets, identities, and configuration.
- Monitor, troubleshoot, and optimise AI cloud applications.
Who Should Attend

This course is designed for software developers, cloud application developers, and technical professionals responsible for building and maintaining AI-powered applications on Microsoft Azure. It is particularly beneficial for developers working with backend services, containerised applications, cloud data solutions, and distributed architectures.

Prerequisites

Participants should have:
- Experience developing applications using a programming language such as C#, Python, or JavaScript.
- Familiarity with fundamental Azure services and cloud computing concepts.
- Basic understanding of APIs, databases, and application development.
- Familiarity with containers and distributed application concepts is beneficial.

Azure AI Cloud Solutions Training Outline

Learning Objectives

Get started with Azure AI Foundry

Explore Azure AI Foundry capabilities
Understand Azure AI Foundry portals and resources
Manage AI projects and workspaces
Use Azure AI Foundry tools and SDKs

Develop generative AI applications with Azure OpenAI Service

Provision Azure OpenAI resources
Deploy Azure OpenAI models
Generate text using prompts
Integrate Azure OpenAI into applications
Configure model parameters

Implement prompt engineering techniques

Design effective prompts
Apply prompt engineering best practices
Control model responses
Optimise prompts for business scenarios

Build copilots with Azure AI technologies

Create conversational AI experiences
Develop copilots using Azure AI services
Manage conversational flows
Integrate AI copilots into applications

Implement retrieval-augmented generation solutions

Understand retrieval-augmented generation concepts
Use vector search capabilities
Ground prompts with enterprise data
Integrate AI search solutions

Develop AI agents and orchestration workflows

Create AI orchestration workflows
Manage multi-step AI interactions
Coordinate AI agents and tools
Integrate external services into AI workflows

Implement responsible AI practices

Understand responsible AI principles
Evaluate AI safety considerations
Apply content filtering and moderation
Mitigate harmful AI outputs

Deploy and manage generative AI applications

Deploy AI applications in Azure
Monitor AI solution performance
Manage scalability and governance
Secure AI workloads and services

Commercial Pricing

35 690 kr

5-day instructor-led training course
Microsoft Official Course content
Hands-on Training
One-on-one after-course instructor coaching included
Certification exam voucher included in course tuition

Would you like to take this course as a team?

Include dates with afternoon start times

nov. 30 - dec. 4 15:00 - 22:30 CET

Ottawa or AnyWare
dec. 14 - 18 9:00 - 16:30 CET

Stockholm or AnyWare
dec. 14 - 18 10:00 - 17:30 CET

London or AnyWare
jan. 4 - 8 15:00 - 22:30 CET

Herndon, VA or AnyWare
feb. 1 - 5 9:00 - 16:30 CET

Stockholm or AnyWare
feb. 1 - 5 10:00 - 17:30 CET

London or AnyWare
feb. 22 - 26 15:00 - 22:30 CET

Ottawa or AnyWare
mars 15 - 19 9:00 - 16:30 CET

Stockholm or AnyWare
mars 15 - 19 10:00 - 17:30 CET

London or AnyWare
apr. 5 - 9 15:00 - 22:30 CEST

Herndon, VA or AnyWare
apr. 26 - 30 9:00 - 16:30 CEST

Stockholm or AnyWare
apr. 26 - 30 10:00 - 17:30 CEST

London or AnyWare
maj 17 - 21 15:00 - 22:30 CEST

Ottawa or AnyWare
juni 14 - 18 9:00 - 16:30 CEST

Stockholm or AnyWare
juni 14 - 18 10:00 - 17:30 CEST

London or AnyWare
juli 12 - 16 15:00 - 22:30 CEST

Herndon, VA or AnyWare
aug. 30 - sep. 3 15:00 - 22:30 CEST

Ottawa or AnyWare
okt. 4 - 8 15:00 - 22:30 CEST

Herndon, VA or AnyWare

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Develop AI Cloud Solutions on Azure (AI-200) Training FAQs

You'll learn to build, deploy, integrate, secure, and monitor AI-powered applications using Microsoft Azure. The course covers containerized applications, serverless computing, Azure data services, event-driven architectures, and application monitoring.

This course is designed for software developers, cloud application developers, and IT professionals who build or support AI-driven applications on Azure. It is particularly useful for developers working with backend services, cloud infrastructure, and distributed applications.

You'll work with Azure Container Apps, Azure Kubernetes Service (AKS), Azure Functions, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Managed Redis, Azure Service Bus, Event Grid, Azure Key Vault, and Azure monitoring services.

Yes. This intermediate-level course is best suited for participants with programming experience and a basic understanding of Azure, APIs, databases, and cloud application development. Familiarity with containers and distributed applications is helpful.

No. While the course supports AI application development, its primary focus is building the cloud infrastructure, backend services, data integrations, and monitoring capabilities needed to run AI-powered applications on Azure.

Yes. The course aligns with Exam AI-200, associated with the Microsoft Certified: Azure AI Cloud Developer Associate certification. It covers relevant technical skills, although additional study and hands-on practice may be needed to prepare for the exam.

Develop AI Cloud Solutions on Azure (AI-200)

Develop AI Cloud Solutions on Azure (AI-200) Delivery Methods

Develop AI Cloud Solutions on Azure (AI-200) Training Information

Azure AI Cloud Solutions Training Outline

Learning Objectives

Live Instructor 35 690 kr

Develop AI Cloud Solutions on Azure (AI-200) Training FAQs

What will I learn in the Develop AI Cloud Solutions on Azure course?

Who should take this course?

What Azure technologies are covered in this course?

Do I need prior Azure or programming experience?

Does this course focus on generative AI and prompt engineering?

Does this course prepare me for a Microsoft certification?

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