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Course Outline
Azure OpenAI Foundations for Enterprise Use
- Overview of Azure OpenAI and its position within the Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, features, and solution architectures
Initiating with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment methods
- Exploring the playground interface and API options
- Submitting prompts and analyzing resulting responses
Prompt Design for Business Applications
- Crafting clear instructions and structured prompts
- Leveraging roles, examples, and output formatting techniques
- Enhancing consistency in summarization, question answering, and content generation
Developing and Integrating AI Features
- Incorporating chat, summarization, and content assistance into applications
- Integrating Azure OpenAI into application backends and services
- Designing user workflows that deliver tangible business value
Linking AI to Enterprise Data
- Practical understanding of retrieval-augmented generation
- Utilizing Azure AI Search alongside Azure OpenAI
- Anchoring responses with reliable business content
Security, Responsible AI, and Operations
- Managing access control, data protection, and deployment strategies
- Ensuring content safety, human oversight, and adherence to responsible AI principles
- Monitoring usage, quality, and costs in production settings
Hands-On Application Workshop and Conclusion
- Developing a basic enterprise AI application scenario
- Validating prompts, data grounding, and output quality
- Evaluating next steps for implementation in pilot and production phases
Requirements
- Knowledge 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
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