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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Typical enterprise applications of generative AI
- Key models, core capabilities, and architectural patterns
Initiating Azure OpenAI Implementations
- Configuring Azure OpenAI resources, access controls, and deployment settings
- Navigating the playground interface and selecting appropriate APIs
- Issuing prompts and analyzing the resulting responses
Prompt Engineering for Business Contexts
- Formulating clear directives and structured prompts
- Leveraging roles, examples, and specific output formats
- Enhancing consistency for summarization, question answering, and content creation
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 to Enterprise Data
- Practical understanding of retrieval-augmented generation
- Utilizing Azure AI Search in conjunction with Azure OpenAI
- Anchoring responses using verified business content
Security, Responsible AI, and Operational Management
- Considerations for access control, data privacy, and deployment
- Content safety measures, human oversight, and ethical AI practices
- Tracking usage, quality, and costs in live production environments
Practical Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Validating prompts, data grounding, and output accuracy
- Outlining subsequent steps for piloting and production deployment
Requirements
- A foundational grasp of basic cloud and web application principles
- Working knowledge of Azure services, REST APIs, or application integration
- Basic programming proficiency
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
Testimonials (1)
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