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Course Outline
Azure OpenAI Foundations for Enterprise Use
- An overview of 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 permissions, and deployment options.
- Exploring the playground interface and API choices.
- Sending prompts and evaluating responses.
Prompt Design for Business Applications
- Writing clear instructions and structured prompts.
- Utilizing roles, examples, and output formatting techniques.
- Enhancing consistency for summarization, question answering, and content generation.
Building and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications.
- Calling Azure OpenAI from application backends and services.
- Designing user workflows that deliver business value.
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation in practical terms.
- Leveraging Azure AI Search with Azure OpenAI.
- Grounding responses with trusted business content.
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment considerations.
- Implementing content safety measures, human oversight, and responsible AI practices.
- Monitoring usage, quality, and costs 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 fundamental 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
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