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Course Outline
Foundations of Azure OpenAI for Enterprise
- Understanding Azure OpenAI and its role within the Azure ecosystem
- Exploring common enterprise use cases for generative AI
- Reviewing core models, capabilities, and solution patterns
Initial Setup with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment choices
- Exploring the playground interface and API options
- Submitting prompts and assessing responses
Prompt Engineering for Business Apps
- Crafting clear directives and structured prompts
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency in summarization, question answering, and content generation
Developing and Integrating AI Capabilities
- Incorporating chat, summarization, and content assistance features into applications
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that drive business value
Linking AI to Enterprise Data
- Comprehending retrieval-augmented generation in a practical context
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring responses with trusted business content
Security, Responsible AI, and Operational Management
- Managing access control, data protection, and deployment considerations
- Addressing content safety, human oversight, and responsible AI standards
- Monitoring usage, quality, and costs in live scenarios
Practical Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Testing prompts, data grounding, and output quality
- Outlining next steps for pilot and production deployment
Requirements
- A solid grasp of fundamental cloud and web application concepts
- Experience with Azure services, REST APIs, or application integration
- Foundational programming skills
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
