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Course Outline
Foundations of Azure OpenAI for Enterprise Use
- An overview of Azure OpenAI and its integration within the Azure ecosystem
- Typical enterprise use cases for generative AI
- Essential models, capabilities, and architectural solution patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment options
- Exploring the playground and available API options
- Submitting prompts and assessing response quality
Prompt Engineering for Business Applications
- Crafting clear instructions and structured prompts
- Utilising roles, examples, and output formatting techniques
- Enhancing consistency for summarisation, question-answering, and content generation
Developing and Integrating AI Features
- Embedding chat, summarisation, and content assistance into applications
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that deliver tangible business value
Linking AI with Enterprise Data
- Understanding retrieval-augmented generation in practical terms
- Utilising Azure AI Search alongside Azure OpenAI
- Anchoring responses with trusted business content
Security, Responsible AI, and Operations
- Access control, data protection, and deployment considerations
- Content safety, human oversight, and responsible AI practices
- Monitoring usage, quality, and cost in production scenarios
Hands-On Application Workshop and Conclusion
- Building a simple enterprise AI application scenario
- Testing prompts, data grounding, and output quality
- Reviewing next steps for implementation in pilot and production environments
Requirements
- A solid understanding of fundamental cloud and web application concepts
- Familiarity with Azure services, REST APIs, or application integration patterns
- Basic programming proficiency
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
