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Course Outline

Azure OpenAI Foundations for Enterprise Contexts

  • Defining Azure OpenAI and its role within the Azure ecosystem
  • Typical enterprise applications for generative AI
  • Key models, features, and architectural patterns

Initiating with Azure OpenAI

  • Configuring Azure OpenAI resources, access controls, and deployment strategies
  • Navigating the playground and evaluating API options
  • Issuing prompts and assessing model responses

Prompt Engineering for Business Solutions

  • Drafting precise instructions and structured prompts
  • Leveraging roles, examples, and output formatting
  • Enhancing consistency for summarization, Q&A, and content creation

Developing and Integrating AI Functionality

  • Implementing chat, summarization, and content assistance within applications
  • Invoking Azure OpenAI from application backends and services
  • Architecting user workflows that deliver business value

Linking AI to Enterprise Data

  • Comprehending retrieval-augmented generation in practical terms
  • Utilizing Azure AI Search alongside Azure OpenAI
  • Ensuring responses are grounded in verified business content

Security, Responsible AI, and Operational Management

  • Managing access control, data protection, and deployment factors
  • Addressing content safety, human oversight, and responsible AI protocols
  • Tracking usage, quality, and costs in production settings

Practical Application Workshop and Conclusion

  • Constructing a basic enterprise AI application scenario
  • Validating prompts, data grounding, and output accuracy
  • Assessing next steps for pilot and production deployment

Requirements

  • Fundamental understanding of cloud and web application principles
  • Experience with Azure services, REST APIs, or application integration
  • Basic programming proficiency

Target Audience

  • Application developers
  • Solution architects
  • Technical managers and innovation leads
 7 Hours

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