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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Prevalent enterprise use cases for generative AI
- Key models, core capabilities, and established solution patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment options
- Exploring the playground interface and API alternatives
- Formulating prompts and assessing AI responses
Prompt Engineering for Business Applications
- Crafting precise instructions and structured prompts
- Leveraging roles, examples, and specified output formats
- Enhancing consistency for summarization, question answering, and content creation
Developing and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications
- 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
- Utilizing Azure AI Search in conjunction with Azure OpenAI
- Anchoring AI responses with reliable business content
Security, Responsible AI, and Operational Management
- Managing access controls, data protection, and deployment considerations
- Ensuring content safety, human oversight, and adherence to responsible AI practices
- Monitoring usage, quality, and costs in production settings
Hands-On Workshop and Conclusion
- Constructing a simple enterprise AI application scenario
- Evaluating prompts, data grounding, and output accuracy
- Discussing next steps for pilot and production deployments
Requirements
- Knowledge of fundamental cloud 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
