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Microsoft Certified: AI Business Professional (AB-730)
Microsoft / AB-730Build the skills for your next mission.
This intermediate-level certification course, "Microsoft Certified: AI Business Professional (AB-730)," provides a comprehensive exploration of leveraging Artificial Intelligence (AI) to drive strategic business outcomes within an organizational context.
Course objectives
Build practical skills across the key domains covered in Microsoft Certified: AI Business Professional (AB-730) (AB-730).
Understanding AI Fundamentals and Business ApplicationsDescribe core AI concepts, including machine learning, deep learning, and natural language processing.
- Describe core AI concepts, including machine learning, deep learning, and natural language processing.
- Identify different types of AI (e.g., supervised, unsupervised, reinforcement learning) and their appropriate business use cases.
- Explain the potential business value and impact of AI across various industries and functions.
- Recognize common AI applications such as predictive analytics, recommendation systems, and intelligent automation.
- Differentiate between AI, automation, and traditional analytics.
- Understand the ethical considerations and responsible AI principles in business contexts.
Identifying and Prioritizing AI OpportunitiesDefine business problems and opportunities suitable for AI solutions.
- Define business problems and opportunities suitable for AI solutions.
- Conduct stakeholder interviews and workshops to gather requirements for AI projects.
- Assess the availability and quality of data required for potential AI solutions.
- Evaluate the technical feasibility and complexity of implementing AI solutions.
- Develop a business case for AI initiatives, including potential ROI and strategic alignment.
- Prioritize AI projects based on business impact, feasibility, and resource availability.
Designing and Planning AI SolutionsSelect appropriate AI models and techniques for specific business problems.
- Select appropriate AI models and techniques for specific business problems.
- Outline the high-level architecture of an AI solution, including data sources, processing, and deployment.
- Identify key roles and responsibilities within an AI project team.
- Plan for data acquisition, preparation, and governance in AI projects.
- Develop a strategy for integrating AI solutions with existing business processes and systems.
- Address user experience (UX) and user adoption considerations in AI solution design.
Managing AI Project Lifecycle and GovernanceApply agile methodologies to manage AI project development.
- Apply agile methodologies to manage AI project development.
- Monitor and evaluate the performance of AI models in production.
- Identify and mitigate risks associated with AI projects, including data privacy and security.
- Establish governance frameworks for responsible AI development and deployment.
- Plan for the maintenance, retraining, and evolution of AI models.
- Communicate AI project progress and outcomes to stakeholders effectively.
Leading AI Transformation and Organizational ChangeDevelop a strategy for fostering an AI-ready organizational culture.
- Develop a strategy for fostering an AI-ready organizational culture.
- Manage organizational change and resistance to AI adoption.
- Identify and address skill gaps within the workforce related to AI.
- Measure the business impact and ROI of AI initiatives post-implementation.
- Communicate the vision and benefits of AI transformation to all levels of the organization.
- Understand the role of leadership in driving successful AI adoption.
Find your DoD 8140 pathway
Explore how this training may align to DoD 8140 work roles and proficiency levels.
About this course
This intermediate-level certification course, "Microsoft Certified: AI Business Professional (AB-730)," provides a comprehensive exploration of leveraging Artificial Intelligence (AI) to drive strategic business outcomes within an organizational context. Participants will gain a deep understanding of identifying AI opportunities, evaluating AI solutions, managing AI project lifecycles, and ensuring ethical and responsible AI deployment. The curriculum emphasizes translating complex AI capabilities into tangible business value, focusing on practical application and strategic decision-making rather than deep technical implementation.
Training alone does not establish DoD 8140 qualification. Confirm position-specific requirements with your organization.