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Course Outline
Azure OpenAI Foundations for Enterprise Use
- Defining Azure OpenAI and its role within the Azure ecosystem
- Common generative AI use cases in enterprise settings
- Essential models, features, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment strategies
- Exploring playground tools and API options
- Submitting prompts and assessing model responses
Prompt Design for Business Applications
- Crafting clear directives and structured prompts
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency for summarization, Q&A, and content creation tasks
Building and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications
- Invoking Azure OpenAI from backend services and application layers
- Designing user workflows that deliver tangible business value
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation from a practical perspective
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring AI responses to trusted business content
Security, Responsible AI, and Operations
- Managing access controls, data protection, and deployment factors
- Ensuring content safety, human oversight, and adherence to responsible AI principles
- Monitoring usage, quality, and costs in live production environments
Hands-On Application Workshop and Wrap-Up
- Constructing a basic enterprise AI application scenario
- Testing prompts, data grounding, and output accuracy
- Outlining next steps for pilot deployment and production scaling
Requirements
- Fundamental knowledge of cloud and web application concepts
- Acquaintance with Azure services, REST APIs, or application integration patterns
- Entry-level programming experience
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leaders
7 Hours
