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Chapter 1: About AB-731: AI Transformation Leader Microsoft’s Certification Exam

About AB-731: AI Transformation Leader Microsoft’s Certification Exam

Chapter 2: Identify the foundational concepts of generative AI

Describe the differences between generative AI and other types of AI
Select a generative AI solution to meet a business need
Describe the differences between AI models, including fine-tuned and pretrained models
Explain the cost drivers in generative AI usage, including tokens and return-on-investment (ROI) considerations
Identify the challenges of using generative AI solutions, including fabrications, reliability, and bias
Identify when generative AI solutions can provide business value, including scalability and automation

Chapter 3: Identify benefits and capabilities of generative AI solutions

Chapter 4: Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot

Chapter 5: Identify benefits and capabilities of Foundry Tools

Chapter 6: Align an AI strategy with Microsoft responsible AI policies

Chapter 7: Plan for AI adoption across the organization

Chapter 8: Identify the business value of generative AI solutions

Identify the business value of generative AI solutions

Chapter 9: Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services

Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services

Chapter 10: Identify an implementation and adoption strategy for Microsoft’s AI apps and services

Identify an implementation and adoption strategy for Microsoft’s AI apps and services

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