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Duration 7 hours
Course Outline
Azure OpenAI Foundations for Enterprise Adoption
- An overview of Azure OpenAI and its role within the broader Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, core capabilities, and established solution patterns
Introduction to Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment strategies
- Exploring the playground interface and available API options
- Generating prompts and assessing model responses
Prompt Engineering for Business Use Cases
- Formulating clear directives and structured prompt designs
- Incorporating roles, examples, and specific output formats
- Enhancing consistency in summarization, question-answering, and content generation
Developing and Integrating AI Capabilities
- Implementing chat, summarization, and content assistance features in applications
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that deliver tangible business value
Integrating AI with Enterprise Data
- Practical understanding of retrieval-augmented generation
- Leveraging Azure AI Search alongside Azure OpenAI
- Anchoring model responses with verified business content
Security, Responsible AI, and Operational Management
- Managing access control, data protection, and deployment considerations
- Ensuring content safety, human oversight, and adherence to responsible AI practices
- Monitoring usage, output quality, and costs in live production scenarios
Practical Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Testing prompts, data grounding, and response quality
- Evaluating subsequent implementation steps for pilot and production deployment
Requirements
- A solid grasp of fundamental cloud and web application principles.
- Knowledge of Azure services, REST APIs, or application integration methods.
- Foundational programming experience.
Target Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leaders.
