Course Description
This technical course is designed for attendees who will extend DOI AI solutions beyond low-code configuration into engineering and integration. Participants learn when and how to use Azure AI Foundry (formerly AI Studio) as the foundation for building and operationalizing AI capabilities, and they gain hands-on exposure to developing against AI services using direct, API-level access patterns.
The course focuses on the practical considerations for implementing AI solutions in a real environment—connecting applications to AI services, structuring solution components for reuse, and building a path from prototype to scalable implementation. Guided labs are included to reinforce patterns that developers can take back to their teams for implementation and iteration.
Objectives:
By the end of the course, you will:
- Understand how to leverage Azure AI Foundry for DOI AI solutions
- Learn API-level integration patterns for AI services
- Gain hands-on experience coding against Azure AI services
- Develop practical approaches for scaling AI prototypes into production
Duration:
1 Day (5 Hours)
Ideal Attendee
Developers and technical builders who are responsible for implementing or integrating AI capabilities in applications and services—such as software engineers, solution architects, and advanced Power Platform makers who are comfortable with code. Participants should expect to work with developer tools and API concepts; experience with environments, authentication/access, and basic scripting is strongly recommended.
Prerequisites
None
Registration: