This unit introduces the business context, basic technologies, and operational realities of applying AI across an enterprise. Students will explore market demand, recognize AI systems and capabilities, learn core data and compliance considerations, and practice communicating AI benefits and limitations to stakeholders in preparation for deeper technical and implementation work in later units.
Learning Objectives
- Analyze drivers of demand and common enterprise use cases for AI, and categorize opportunities by business function and expected impact
- Evaluate AI capabilities and limitations by differentiating automated systems from human judgment and mapping the AI competency hierarchy to organizational roles
- Demonstrate data literacy and governance awareness by describing data sources, the characteristics of large-scale data (volume, velocity, variety), and key compliance and privacy obligations for enterprise AI
- Apply basic monitoring and visualization techniques to summarize AI performance, risks, and business benefits for diverse stakeholder audiences
Curriculum
- 1 Section
- 14 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — Foundations of Enterprise AI14
- 1.1Understanding the Demand for AI20 mins
- 1.2Recognizing AI When You See It20 mins
- 1.3Democratizing AI20 mins
- 1.4The AI Competency Hierarchy20 mins
- 1.5Surfing the Data Tsunami20 mins
- 1.6Navigating the Compliance Minefield20 mins
- 1.7Hearing the Message in the Media20 mins
- 1.8Spying on Your Machines20 mins
- 1.9Making Friends by the Millions20 mins
- 1.10Proliferation of AI in the Enterprise20 mins
- 1.11AI Is Not Human20 mins
- 1.12Identifying the Enabling Technology20 mins
- 1.13Benefits of AI for Your Enterprise20 mins
- 1.14Visualizing Results20 mins
Instructor
Leave a Reply