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Duration 7 hours
Course Outline
Azure OpenAI Foundations for Enterprise Use
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Common enterprise use cases for generative AI
- Key models, capabilities, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment options
- Exploring the playground interface and API selections
- Submitting prompts and assessing model responses
Prompt Design for Business Applications
- Formulating clear instructions and structured prompts
- Leveraging roles, examples, and output formatting
- Enhancing consistency in summarization, Q&A, and content generation
Building 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
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation (RAG) in practical contexts
- Utilizing Azure AI Search in conjunction with Azure OpenAI
- Anchoring responses to trusted 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 metrics, and costs in live production
Hands-On Application Workshop and Wrap-Up
- Developing a simple enterprise AI application scenario
- Testing prompts, data grounding, and output quality
- Evaluating next steps for pilot testing and production rollout
Requirements
- Foundational knowledge of cloud computing and web application concepts
- Familiarity with Azure services, REST APIs, or application integration
- Basic programming proficiency
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
