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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, capabilities, and architectural patterns
Getting Started with Azure OpenAI
- Configuring Azure OpenAI resources, access permissions, and deployment options
- Utilizing the playground and selecting appropriate API methods
- Submitting prompts and assessing response quality
Prompt Engineering 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 Capabilities
- Incorporating chat, summarization, and content assistance into applications
- Invoking Azure OpenAI from application backends and services
- Designing user journeys that drive business value
Connecting AI with Enterprise Data
- Practical understanding of retrieval-augmented generation
- Integrating Azure AI Search with Azure OpenAI
- Anchoring responses using 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, and costs in production settings
Hands-On Application Workshop and Conclusion
- Developing a basic enterprise AI application scenario
- Testing prompts, data grounding, and output reliability
- Discussing next steps for pilot and production deployment
Requirements
- A solid grasp 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
