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Course Outline
Azure OpenAI Foundations for Enterprise Use
- Overview of Azure OpenAI and its role within the Azure ecosystem.
- Typical enterprise use cases for generative AI.
- Key models, features, and architectural patterns.
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment methods.
- Exploring the playground interface and API options.
- Submitting prompts and assessing the quality of responses.
Prompt Design for Business Applications
- Formulating clear directives and structured prompts.
- Leveraging roles, examples, and output formatting techniques.
- Enhancing consistency for summarization, Q&A, and content generation.
Building and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications.
- Interacting with Azure OpenAI from backend services.
- Designing user workflows that deliver tangible business value.
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation in a practical context.
- Utilizing Azure AI Search alongside Azure OpenAI.
- Anchoring AI responses with reliable business content.
Security, Responsible AI, and Operations
- Considerations for access control, data protection, and deployment.
- Content safety, human supervision, and responsible AI guidelines.
- Tracking usage, performance, and costs in live environments.
Hands-On Application Workshop and Wrap-Up
- Developing a basic enterprise AI application scenario.
- Validating prompts, data grounding, and output accuracy.
- Discussing next steps for pilot testing and production deployment.
Requirements
- Familiarity with fundamental cloud and web application principles.
- Knowledge of Azure services, REST APIs, or application integration.
- Basic programming skills.
Target Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leads.
7 Hours
