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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its role within the broader Azure ecosystem
- Key enterprise use cases for generative AI
- Essential models, capabilities, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment configurations
- Navigating the playground and selecting appropriate API options
- Crafting prompts and assessing model responses
Prompt Engineering for Business Applications
- Formulating clear directives and structured prompts
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency in summarization, Q&A, and content generation tasks
Development and Integration of AI Features
- Incorporating chat, summarization, and content assistance into applications
- Invoking Azure OpenAI from application backends and service layers
- Designing user workflows that deliver tangible business value
Connecting AI to 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
- Considerations for access control, data protection, and deployment strategy
- Ensuring content safety, human oversight, and adherence to responsible AI guidelines
- Monitoring usage, quality metrics, and costs in live production environments
Hands-On Application Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Testing prompt effectiveness, data grounding, and output quality
- Reviewing next steps for implementation in pilot and production phases
Requirements
- Fundamental understanding of cloud and web application concepts
- Experience with Azure services, REST APIs, or application integration
- Basic programming skills
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leaders
7 Hours
