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Course Outline
Azure OpenAI Essentials for Enterprise
- An overview of Azure OpenAI and its role within the Azure ecosystem
- Key enterprise applications for generative AI
- Core models, capabilities, and architectural patterns
Introduction to Azure OpenAI
- Configuring Azure OpenAI resources, managing access, and selecting deployment methods
- Exploring the playground and available API options
- Formulating prompts and assessing response quality
Designing Prompts for Business Apps
- Formulating clear directives and structured prompts
- Utilizing roles, examples, and specific output formats
- Enhancing consistency in summarization, Q&A, and content creation tasks
Developing and Integrating AI Capabilities
- Incorporating chat, summarization, and content assistance features into applications
- Invoking Azure OpenAI from backend services and applications
- Designing user workflows that deliver tangible business value
Linking AI with Enterprise Data
- Comprehending retrieval-augmented generation (RAG) in a practical context
- Integrating Azure AI Search with Azure OpenAI
- Anchoring AI responses with reliable business content
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment strategies
- Ensuring content safety, human oversight, and adherence to responsible AI guidelines
- Monitoring usage metrics, output quality, and costs in production settings
Practical Workshop and Conclusion
- Constructing a simple enterprise AI application scenario
- Evaluating prompts, data grounding, and response accuracy
- Discussing next steps for piloting and moving to production
Requirements
- A solid grasp of fundamental cloud and web application concepts
- Experience with Azure services, REST APIs, or application integration patterns
- Foundational programming skills
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours