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Course Outline
Enterprise Foundations for Azure OpenAI
- Overview of Azure OpenAI and its role within the Azure ecosystem.
- Typical enterprise use cases for generative AI.
- Essential models, capabilities, and architectural patterns.
Initiating with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment settings.
- Exploring the playground and available API options.
- Submitting prompts and analyzing model responses.
Designing Prompts for Business Applications
- Crafting clear instructions and structured prompts.
- Utilizing roles, examples, and output formatting techniques.
- Enhancing consistency for tasks like summarization, Q&A, and content generation.
Developing and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications.
- Invoking Azure OpenAI from application backends and services.
- Designing user workflows that deliver business value.
Linking AI with Enterprise Data
- Comprehending retrieval-augmented generation in a practical context.
- Utilizing Azure AI Search alongside Azure OpenAI.
- Anchoring model responses with trusted business content.
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment considerations.
- Ensuring content safety, human oversight, and responsible AI practices.
- Monitoring usage, quality, and costs in production scenarios.
Hands-On Application Workshop and Conclusion
- Creating a simple enterprise AI application scenario.
- Testing prompts, data grounding, and output quality.
- Reviewing next steps for pilot implementation and production rollout.
Requirements
- Fundamental understanding of cloud and web application concepts.
- Experience with Azure services, REST APIs, or application integration.
- Basic programming proficiency.
Target Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leads.
7 Hours
