$3,350
- 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
Develop AI Cloud Solutions on Azure (AI-200)
Course 8774
- Duration: 5 days
- Exam Voucher: Yes
- Language: English
- Level: Intermediate
This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities.
Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.
Azure AI Cloud Solutions Training Delivery Methods
In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.
Azure AI Cloud Solutions Training Information
Course Benefits
- Build practical generative AI applications using Microsoft Azure technologies
- Learn to integrate Azure OpenAI models into enterprise applications
- Develop AI copilots and conversational agents
- Gain hands-on experience with prompt engineering and orchestration
- Understand responsible AI implementation and AI safety controls
- Prepare for modern AI-focused development roles
- Gain skills aligned with rapidly growing enterprise AI adoption
- Includes hands-on labs and Microsoft official content
- Supports hybrid and remote participation through AnyWare® delivery
Prerequisites
- Experience developing software applications
- Familiarity with Python or C#
- Basic understanding of cloud computing concepts
- Basic familiarity with Azure services
- Understanding of REST APIs and JSON recommended
Exam Information
This course can help you prepare for the following Microsoft role-based certification exam — Microsoft Certified: Azure AI Cloud Developer Associate (beta)
Azure AI Cloud Solutions Training Outline
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
- Optimize 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
Need Help Finding The Right Training Solution?
Our training advisors are here for you.
Azure AI Cloud Solutions Training FAQs
You will learn how to build and deploy generative AI applications using Azure AI Foundry and Azure OpenAI technologies.
Yes. Participants should have prior experience with software development and basic cloud concepts.
Yes. The course includes practical exercises and AI application development labs.
Examples may include Python and C#.
This course is best suited for developers with foundational cloud and coding experience.