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Course Outline
Azure OpenAI Foundations for Enterprise Use
- What Azure OpenAI is and how it fits into the Azure ecosystem.
- Common enterprise use cases for generative AI.
- Core models, capabilities, and solution patterns.
Getting Started with Azure OpenAI
- Setting up Azure OpenAI resources, access, and deployment options.
- Exploring the playground and API choices.
- Sending prompts and evaluating responses.
Prompt Design for Business Applications
- Writing clear instructions and structured prompts.
- Using roles, examples, and output formatting.
- Improving consistency for summarization, question answering, and content generation.
Building and Integrating AI Features
- Adding chat, summarization, and content assistance to applications.
- Calling Azure OpenAI from application backends and services.
- Designing user workflows that support business value.
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation in practical terms.
- Using Azure AI Search with Azure OpenAI.
- Grounding responses with trusted business content.
Security, Responsible AI, and Operations
- Access control, data protection, and deployment considerations.
- Content safety, human oversight, and responsible AI practices.
- Monitoring usage, quality, and cost in production scenarios.
Hands-On Application Workshop and Wrap-Up
- Building a simple enterprise AI application scenario.
- Testing prompts, data grounding, and output quality.
- Reviewing implementation next steps for pilot and production use.
Requirements
- A foundational understanding of cloud computing and web application concepts.
- Familiarity with Azure services, REST APIs, or application integration.
- Basic programming experience.
Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leads.
7 Hours
