Enterprise AI Strategy and Investment

Overview

Build practical enterprise AI strategy skills that help you evaluate generative AI opportunities, align investments to business goals, and communicate clear direction to leadership. In this course, you’ll develop hands-on experience relevant to roles such as AI strategy manager, innovation lead, digital transformation leader, product leader, and business technology executive.

You’ll work on connecting generative AI initiatives to enterprise priorities, assessing the value of AI applications for unstructured data, benchmarking competitive adoption, and shaping strategic recommendations that support responsible business growth. This is a non-traditional, skill-based learning experience organized around real workplace tasks instead of a fixed lecture sequence.

It’s designed to reflect responsibilities you may see in job descriptions, from defining an enterprise GenAI vision and prioritizing use cases to evaluating impact, presenting strategic imperatives to executives, and making sustainable, cost-aware investment decisions. You can personalize your path based on what you already know, focus on the skills you need most, and skip content when it’s not necessary.

The course curates high-quality lessons from expert instructors, selecting the strongest content for each skill so you can build practical, career-relevant enterprise AI strategy experience. By the end, you’ll be able to formulate a generative AI strategy aligned to business objectives, translate emerging technology concepts into executive-ready recommendations, benchmark competitive GenAI adoption, prioritize enterprise use cases, define KPIs to measure business impact, and incorporate sustainability and cost-efficiency into AI investment decisions.

This course is a strong fit if you already have experience with business strategy, digital transformation, innovation planning, or technology leadership.

Syllabus

• Start Here: Get Oriented and Check Your Skills
Start here to learn how this skill-based course works and find your recommended starting point. You’ll take a short, ungraded diagnostic to check your current skills, then decide whether to go directly to the graded skill assessments or review targeted learning content first.
• Job Task 1: Define the Enterprise GenAI Strategic Direction
Use this module to build the skills for the job task Define the Enterprise GenAI Strategic Direction. You’ll learn how to evaluate competitive GenAI adoption, connect emerging technology trends to business priorities, and shape a clear strategic vision for executive leadership. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.
• Job Task 2: Prioritize Enterprise GenAI Opportunities and Measure Business Impact
Use this module to build the skills for the job task Prioritize Enterprise GenAI Opportunities and Measure Business Impact. You’ll learn how to evaluate high-value GenAI use cases for enterprise content, prioritize opportunities based on strategic and operational factors, and define KPIs that measure business impact. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.
• Job Task 3: Integrate Sustainable and Cost-Efficient GenAI Investment Decisions
Use this module to build the skills for the job task Integrate Sustainable and Cost-Efficient GenAI Investment Decisions. You’ll learn how to evaluate sustainability and cost-efficiency tradeoffs in GenAI deployment, interpret key infrastructure impact metrics, and support responsible investment decisions with clear decision logic. Review the lessons that match the skills you want to strengthen before completing the related graded assessment.
• Wrap Up: Review Your Skill Achievement and Choose Your Next Path
Review the skills you practiced and demonstrated in this course, then prepare to describe them in career-relevant ways. You’ll also explore recommended skill paths that can help you continue building related job-ready skills.

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Taught by

Professionals from the Industry

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Subjects

Technology