Microsoft Certified: AI Transformation Leader (AB-731)
This Microsoft Certification is for business decision-makers who guide AI transformation and innovation with Microsoft 365 Copilot, Azure AI, and Microsoft Foundry, without requiring coding skills.
This Certification is designed for business decision-makers at all levels who are responsible for guiding transformation and innovation within their teams or organisations. In this role, you’re expected to demonstrate AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions, but are not expected to write any code.
Training Overview
As a candidate for this Microsoft Certification, you should understand how to recognise opportunities for AI transformation, identify the right AI tools and resources, plan for AI adoption, optimise business processes, and drive innovation by using Microsoft 365 Copilot and Azure AI services.
As a candidate for this Certification, you should be able to evaluate AI opportunities, champion responsible AI practices, and align AI investments with business goals. You need experience leading adoption or change management in a business context. You must also be familiar with Microsoft 365 services, Microsoft Foundry, and general AI capabilities.
Course Agenda
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.
Identify the benefits and capabilities of generative AI solutions.
Describe the impact of prompt engineering.
Understand techniques of prompt engineering.
Identify business requirements for grounding solutions.
Understand how retrieval-augmented generation (RAG) is used for AI solutions.
Understand the impact of data on AI solutions, including data type, data quality, and representative datasets.
Describe the importance of secure AI.
Identify scenarios when machine learning adds value.
Describe the lifecycle of a machine learning solution.
Identify security considerations for AI systems, including application security, data security, and authentication requirements.
Identify the benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot.
Map business processes and use cases to Copilot.
Understand differences in capabilities between versions of Copilot.