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Course Outline
Foundations of Azure OpenAI for Enterprise
- An introduction to Azure OpenAI and its role within the Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, capabilities, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment settings
- Exploring the playground and available API options
- Submitting prompts and assessing the resulting responses
Prompt Design for Business Applications
- Formulating clear instructions and structured prompts
- Incorporating roles, examples, and output formatting
- Enhancing consistency for summarisation, question answering, and content creation
Building and Integrating AI Features
- Incorporating chat, summarisation, and content assistance into applications
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that drive business value
Connecting AI to Enterprise Data
- Practical understanding of retrieval-augmented generation
- Utilising Azure AI Search alongside Azure OpenAI
- Anchoring responses with trusted business content
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment considerations
- Addressing content safety, human oversight, and responsible AI principles
- Monitoring usage, quality, and costs in production environments
Hands-On Application Workshop and Conclusion
- Constructing a simple enterprise AI application scenario
- Testing prompts, data grounding, and output quality
- Reviewing the next steps for pilot and production implementation
Requirements
- A solid grasp of fundamental cloud and web application concepts
- Knowledge of Azure services, REST APIs, or application integration
- Foundational programming experience
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours