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Course Outline
Azure OpenAI Foundations for Enterprise
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Typical generative AI use cases in an enterprise context
- Essential models, capabilities, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment strategies
- Navigating the playground and selecting appropriate APIs
- Testing prompts and assessing response quality
Prompt Engineering for Business Applications
- Crafting clear instructions and structured prompt frameworks
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency for summarization, QA, 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 tangible business value
Integrating AI with Enterprise Data
- Practical understanding of retrieval-augmented generation
- Utilizing Azure AI Search in conjunction with Azure OpenAI
- Anchoring responses with reliable business content
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment considerations
- Ensuring content safety, human oversight, and responsible AI adherence
- Monitoring usage, quality, and costs in production environments
Practical Application Workshop and Conclusion
- Constructing a simplified enterprise AI application scenario
- Validating prompts, data grounding, and output accuracy
- Reviewing next steps for pilot and production deployment
Requirements
- A solid grasp of fundamental cloud and web application concepts
- Experience with Azure services, REST APIs, or application integration
- Foundational programming skills
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
