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Course Outline
Foundations of Azure OpenAI for Enterprise
- An overview of Azure OpenAI and its role within the broader Azure ecosystem.
- Identifying common enterprise use cases for generative AI.
- Reviewing core models, key capabilities, and standard solution patterns.
Initiating Azure OpenAI Implementation
- Configuring Azure OpenAI resources, access controls, and deployment strategies.
- Exploring the playground interface and available API options.
- Issuing prompts and assessing the quality of responses.
Prompt Engineering for Business Contexts
- Formulating clear directives and structured prompts.
- Utilizing roles, examples, and specific output formatting techniques.
- Enhancing consistency in summarization, question answering, and content generation tasks.
Developing and Integrating AI Functionality
- Incorporating chat, summarization, and content assistance features into applications.
- Invoking Azure OpenAI from application backends and microservices.
- Designing user workflows that drive tangible business value.
Integrating AI with Enterprise Data
- Understanding retrieval-augmented generation concepts in a practical context.
- Leveraging Azure AI Search in conjunction with Azure OpenAI.
- Anchoring AI responses with verified and trusted business content.
Security, Responsible AI, and Operational Management
- Managing access control, data protection, and deployment considerations.
- Implementing content safety, human oversight, and responsible AI guidelines.
- Monitoring usage metrics, output quality, and costs in production settings.
Practical Workshop and Course Conclusion
- Constructing a simple enterprise AI application scenario.
- Testing prompts, data grounding mechanisms, and output accuracy.
- Evaluating next steps for implementation in pilot and production environments.
Requirements
- Fundamental knowledge of cloud computing and web application concepts.
- Proficiency with Azure services, REST APIs, or application integration processes.
- Basic proficiency in programming.
Intended Audience
- Application developers.
- Solution architects.
- Technical managers and innovation leads.
7 Hours
