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Course Outline
Azure OpenAI Foundations for Enterprise Contexts
- An overview of Azure OpenAI and its integration within the Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, core capabilities, and architectural patterns
Initial Setup with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment strategies
- Exploring the playground interface and available API options
- Submitting prompts and assessing the quality of responses
Designing Prompts for Business Needs
- Formulating clear directives and structured prompt frameworks
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency in summarization, question answering, and content creation
Developing and Integrating AI Capabilities
- Incorporating chat, summarization, and content assistance into applications
- Interacting with Azure OpenAI from application backends and microservices
- Designing user workflows that deliver tangible business value
Linking AI to Enterprise Data Sources
- Comprehending retrieval-augmented generation in a practical context
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring AI responses to verified business content
Security, Responsible AI, and Operational Management
- Managing access control, data protection, and deployment factors
- Ensuring content safety, human supervision, and adherence to responsible AI guidelines
- Tracking usage metrics, output quality, and costs in live environments
Practical Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Evaluating prompts, data grounding accuracy, and output standards
- Discussing next steps for pilot deployment and production readiness
Requirements
- A solid grasp of fundamental cloud and web application principles
- Knowledge of Azure services, REST APIs, or application integration techniques
- Foundational programming experience
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
