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Course Outline
Fundamentals of Azure OpenAI for Enterprise Use
- Understanding what Azure OpenAI is and its role within the Azure ecosystem.
- Common enterprise applications for generative AI.
- Core models, key capabilities, and standard solution patterns.
Initial Steps with Azure OpenAI
- Establishing Azure OpenAI resources, permissions, and deployment choices.
- Exploring the playground interface and API options.
- Sending prompts and assessing responses.
Prompt Engineering for Business Applications
- Crafting clear instructions and structured prompts.
- Leveraging roles, examples, and output formatting techniques.
- Enhancing consistency for summarisation, question answering, and content generation.
Developing and Integrating AI Features
- Incorporating chat, summarisation, and content assistance into applications.
- Invoking Azure OpenAI from application backends and services.
- Designing user workflows that deliver tangible business value.
Linking AI with Enterprise Data
- Gaining a practical understanding of retrieval-augmented generation (RAG).
- Utilising Azure AI Search alongside Azure OpenAI.
- Grounding responses in trusted business content.
Security, Responsible AI, and Operational Management
- Access control, data protection, and deployment considerations.
- Content safety, human oversight, and responsible AI practices.
- Monitoring usage, quality, and costs in production environments.
Practical Application Workshop and Conclusion
- Constructing a simple enterprise AI application scenario.
- Evaluating prompts, data grounding, and output quality.
- Reviewing subsequent implementation steps for pilot and production phases.
Requirements
- Familiarity with fundamental cloud computing and web application concepts.
- Knowledge of Azure services, REST APIs, or application integration techniques.
- Basic proficiency in programming.
Target Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leads.
7 Hours
