AI-200: Develop AI cloud solutions on Azure

Price
Net €
VAT €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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From intelligent assistants to automated analytics: AI is transforming the way applications are developed. Azure provides the platform for professionally integrating AI capabilities into digital solutions.

Key Topics

Planning and development of cloud-based AI applications.
Implementation of Azure AI Services and Azure OpenAI.
Processing of speech, images, and structured data.
Connecting applications to AI models via interfaces.
Creating modern AI workflows and automations.
Fundamentals of secure and responsible AI systems.

Prerequisites
Knowledge of programming, REST APIs, and basic Azure services will make it easier to get started.

Target Audience
Designed for developers, cloud specialists, and technical roles involved in AI-based software solutions.

Intelligent cloud technologies enable applications that support complex tasks and open up new digital opportunities for businesses.

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Course Content

Deploy container applications on Azure

Store and manage containers in Azure Container Registry
Deploy containers in Azure App Service

Deploy and manage apps in Azure Container Apps

Deploy containers in Azure Container Apps
Manage containers in Azure Container Apps
Scale containers in Azure Container Apps

Deploy and monitor applications on Azure Kubernetes Service

Deploy applications to Azure Kubernetes Service
Configure applications on Azure Kubernetes Service
Monitor and troubleshoot applications on Azure Kubernetes Service

Develop AI solutions with Azure Cosmos DB for NoSQL

Create queries for Azure Cosmos DB for NoSQL
Implement vector search in Azure Cosmos DB for NoSQL
Optimize query performance for Azure Cosmos DB for NoSQL

Develop AI solutions with Azure Database for PostgreSQL

Create and query data with Azure Database for PostgreSQL
Implement vector search with Azure Database for PostgreSQL
Develop AI solutions with Azure Database for PostgreSQL

Expand AI solutions with Azure Managed Redis

Implementing data operations in Azure Managed Redis
Implement event messaging with Azure Managed Redis
Implement vector storage in Azure Managed Redis

Integrate backend services for AI solutions

Queue and process AI operations using Azure Service Bus
Develop event-driven AI workflows with Azure Event Grid
Create serverless AI backends with Azure Functions

Managing application secrets and configurations for AI solutions

Manage application secrets with Azure Key Vault
Manage application settings with Azure App Configuration

Monitor and troubleshoot apps in Azure

Instrumenting an app with OpenTelemetry
Analyze app telemetry data using logs and metrics

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently Asked Questions

Why is expertise in Azure AI development becoming increasingly important? What are the benefits of using Azure?

AI is fundamentally transforming modern applications. There is a growing need for skills to integrate intelligent features into cloud solutions in a secure, scalable, and efficient manner.

What technologies and tools are actually used in practice?

We work with solutions such as Azure AI Foundry, Azure OpenAI Service, Azure AI Search, and Azure AI Services, as well as development environments for AI applications.

What opportunities do AI solutions on Azure offer?

From intelligent assistants to automated analytics and generative AI applications, new avenues are opening up for digital business processes.

What prior knowledge is helpful for getting started?

Experience with software development, APIs, and basic cloud technologies makes it easier to work with Azure-based AI services.

What role does generative AI play in Azure applications?

Generative AI enables modern solutions such as chatbots, content processing, intelligent search, and automated workflows.

What defines professional AI development in the cloud?

The key factors are secure architecture, responsible use of AI, efficient data processing, and the integration of appropriate Azure services.

What career opportunities does expertise in Azure AI offer?

Skills in AI development, cloud architectures, and automation are among the most in-demand skills in the IT field.

How does Azure help with implementing your own AI projects?

Microsoft Azure provides scalable platforms and services to help integrate AI models into real-world applications more quickly.

Do you have any further questions? Please contact us.

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