Course Overview
Generative AI is transforming how organizations innovate, optimize operations, and deliver value to customers. In this focused, one-hour webinar, business leaders will discover how to strategically leverage Generative AI solutions using AWS and Microsoft Azure. Explore core AI concepts, plan effective AI implementation strategies, understand key Azure and AWS generative AI services, and learn best practices for responsible and ethical AI deployment.
What you’ll learn
- Define Generative AI and recognize its strategic impact on business operations.
- Understand foundational AI concepts and how they apply to Azure and AWS platforms.
- Identify key Azure AI services, including Azure Cognitive Services, Azure OpenAI Service, Azure AI Foundry, and associated developer tools.
- Describe essential AWS generative AI offerings such as Amazon SageMaker, Amazon Bedrock, and Amazon Q.
- Recognize best practices for responsible AI, addressing issues of bias, transparency, and governance.
- Develop strategies for successful adoption and deployment of generative AI solutions in their organizations.
Target audiences
- This session is designed specifically for business leaders, executives, senior managers, technology decision-makers, and non-technical stakeholders seeking practical insights on implementing and leveraging generative AI using AWS and Azure.
Curriculum
- 1 Section
- 9 Lessons
- 1 Hour
Expand all sectionsCollapse all sections
- 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
Instructor
