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Course Outline
Fundamentals of Azure OpenAI for Enterprise Applications
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Typical enterprise use cases for generative AI
- Core models, capabilities, and solution patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment options
- Exploring the playground interface and API options
- Sending prompts and assessing response quality
Prompt Engineering for Business Applications
- Structuring clear instructions and prompts
- Utilizing roles, examples, and output formatting techniques
- Enhancing consistency for summarization, Q&A, and content generation tasks
Developing and Integrating AI Capabilities
- Implementing chat, summarization, and content assistance features
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that deliver tangible business value
Integrating AI with Enterprise Data
- Practical understanding of Retrieval-Augmented Generation (RAG)
- Leveraging Azure AI Search alongside Azure OpenAI
- Anchoring responses in trusted, business-specific content
Security, Responsible AI, and Operations
- Access control, data protection measures, and deployment considerations
- Ensuring content safety, human oversight, and adherence to responsible AI standards
- Monitoring usage patterns, output quality, and costs in production environments
Practical Workshop and Conclusion
- Constructing a simplified enterprise AI application scenario
- Evaluating prompts, data grounding techniques, and output accuracy
- Reviewing next steps for pilot implementation and production deployment
Requirements
- Foundational knowledge of cloud computing and web application concepts
- Experience with Azure services, REST APIs, or application integration
- Basic proficiency in programming
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
