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Course Outline
Azure OpenAI Fundamentals for Enterprise
- Overview of Azure OpenAI and its role within the Azure ecosystem
- Typical enterprise applications for generative AI
- Key models, features, and architectural patterns
Initiating Your Journey with Azure OpenAI
- Configuring Azure OpenAI resources, access controls, and deployment strategies
- Exploring the playground interface and API options
- Issuing prompts and assessing model responses
Prompt Engineering for Business Contexts
- Formulating clear directives and structured prompts
- Leveraging roles, few-shot 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 microservices
- Architecting user workflows that deliver tangible business value
Integrating AI with Enterprise Data
- Comprehending retrieval-augmented generation in a practical context
- Utilizing Azure AI Search in conjunction with Azure OpenAI
- Anchoring responses to reliable, internal business content
Security, Responsible AI, and Operational Management
- Managing access control, data protection, and deployment considerations
- Implementing content safety, human oversight, and responsible AI protocols
- Tracking usage, quality metrics, and costs in production settings
Practical Application Workshop and Conclusion
- Constructing a simplified enterprise AI application scenario
- Validating prompts, data grounding, and output accuracy
- Outlining next steps for pilot testing and production rollout
Requirements
- A solid grasp of fundamental cloud and web application concepts
- Knowledge of Azure services, REST APIs, or application integration patterns
- Foundational programming experience
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
7 Hours
