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Course Outline
Foundations of Azure OpenAI for Enterprise
- Overview of Azure OpenAI and its integration within the Azure ecosystem
- Typical enterprise applications of generative AI
- Key models, capabilities, and architectural patterns
Initial Steps with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment strategies
- Navigating the playground and selecting appropriate API options
- Submitting prompts and analyzing the resulting responses
Prompt Engineering for Business Use Cases
- Crafting precise instructions and structured prompts
- Leveraging roles, examples, and format specifications
- Enhancing consistency for summarization, Q&A, and content creation
Developing and Integrating AI Capabilities
- Incorporating chat, summarization, and content assistance into applications
- Invoking Azure OpenAI from application backends and services
- Designing user workflows that deliver measurable business value
Linking AI to Enterprise Data
- Practical understanding of retrieval-augmented generation
- Utilizing Azure AI Search alongside Azure OpenAI
- Ensuring responses are grounded in trusted business content
Security, Responsible AI, and Operations
- Managing access control, data security, and deployment factors
- Enforcing content safety, human oversight, and responsible AI guidelines
- Monitoring usage, quality metrics, and costs in live environments
Practical Application Workshop and Conclusion
- Constructing a basic enterprise AI application scenario
- Validating prompts, data grounding, and output accuracy
- Evaluating next steps for pilot testing and production rollout
Requirements
- A solid grasp of fundamental cloud computing and web application principles
- Experience with Azure services, REST APIs, or application integration
- Entry-level programming proficiency
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leaders
7 Hours
