Overview & Learning Objectives
A technical architecture session on provisioning, securing, and integrating Azure OpenAI Service into enterprise applications and corporate data.
By the end of this training, participants will be able to:
- Provision Azure OpenAI resource instances, deploy models (GPT-4o, Embeddings), and manage API quotas.
- Connect Azure OpenAI securely to proprietary enterprise data using RAG (Retrieval-Augmented Generation).
- Implement Azure AI Content Safety filters, Role-Based Access Control (RBAC), and private endpoints.
- Build a functional enterprise AI pilot application integrated into an existing business workflow.
Target Audience
- Developers, enterprise architects, and cloud engineers
- Technical managers and innovation leads designing secure AI infrastructure
Prerequisites
- Understanding of basic cloud architecture and web application concepts
- Familiarity with Azure portal navigation, REST APIs, or application integration
Technical Requirements
- Active Azure subscription with Azure OpenAI Service access enabled (provisioned deployment key and endpoint URL).
Format & Customization Options
Format of the Course
- Interactive lecture and live architecture demonstration.
- Guided hands-on API implementation in a sandbox Azure environment.
Course Customization Options
- Custom enterprise landing zone architecture and SDK language modules (Python, C#, JS) available upon request.