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Course Outline
Azure OpenAI Foundations for Enterprise Use
- Understanding Azure OpenAI and its role within 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
- Understanding of fundamental cloud 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
