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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its integration within the Azure ecosystem
- Typical enterprise scenarios for generative AI
- Essential models, features, and architectural patterns
Initiating Your Journey with Azure OpenAI
- Configuring Azure OpenAI resources, permissions, and deployment strategies
- Investigating the playground interface and available API options
- Submitting prompts and assessing output quality
Designing Prompts for Business Applications
- Crafting clear directives and structured prompts
- Incorporating roles, examples, and specific output formats
- Enhancing consistency for tasks such as summarization, question answering, and content creation
Developing and Integrating AI Capabilities
- Embedding chat, summarization, and content assistance features into applications
- Invoking Azure OpenAI from application backends and services
- Designing user experiences that deliver tangible business value
Linking AI to Enterprise Data
- Understanding retrieval-augmented generation in a practical context
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring responses with verified business content
Security, Responsible AI, and Operations
- Managing access controls, data protection, and deployment factors
- Ensuring content safety, human oversight, and adherence to responsible AI guidelines
- Tracking usage, performance, and costs in live environments
Practical Workshop and Conclusion
- Constructing a simplified enterprise AI application scenario
- Testing prompts, data grounding, and output accuracy
- Evaluating subsequent steps for pilot and production deployment
Requirements
- Foundation in basic cloud and web application principles
- Experience with Azure services, REST APIs, or application integration methods
- Fundamental programming knowledge
Intended Audience
- Application developers
- Solution architects
- Technical managers and innovation leaders
7 Hours
Testimonials (1)
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