Curriculum
- 1 Section
- 9 Lessons
- 1 Hour
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- Topics9
- 1.1Welcome & Introduction (5 mins) Overview of today’s session Brief Speaker Introduction
- 1.2Generative AI in Business – Strategic Impact (5 mins) What is Generative AI? Why Generative AI Matters Now for Business Leaders Common Business Use Cases and Strategic Value
- 1.3Plan and Prepare to Develop AI Solutions on Azure (10 mins) Introduction to AI Core concepts: Machine Learning, Deep Learning, Generative AI How AI is transforming industries today
- 1.4Azure AI Services Overview Key Azure AI services (e.g., Azure Cognitive Services, Azure OpenAI Service) Common business scenarios for Azure AI Services
- 1.5Azure AI Foundry & Developer Tools (10 mins) Introducing Azure AI Foundry Simplified AI development & deployment framework Examples of industry solutions built on Azure AI Foundry
- 1.6Azure Developer Tools and SDKs Azure AI Studio, Azure ML, APIs and SDKs How business leaders can leverage these tools for AI projects
- 1.7AWS Generative AI Solutions (10 mins) Key AWS services for Generative AI Amazon SageMaker: Building, training, and deploying AI models Amazon Bedrock: Foundation models for generative AI Amazon Q: Simplifying natural language queries Matching AWS services to business use cases
- 1.8Responsible AI & Executive Considerations (10 mins) Importance of Responsible AI: Bias, Fairness, Transparency Addressing potential risks: AI hallucinations, privacy, ethical considerations Executive considerations: Governance, skills gaps, ROI measurement
- 1.9Q&A and Closing Remarks (10 mins) Open session for participant questions Key takeaways & actionable next steps Resources and courses from LearnQuest
Responsible AI & Executive Considerations (10 mins) Importance of Responsible AI: Bias, Fairness, Transparency Addressing potential risks: AI hallucinations, privacy, ethical considerations Executive considerations: Governance, skills gaps, ROI measurement
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