This unit introduces the drivers, capabilities, and business implications of AI in the enterprise, covering demand, common AI patterns, enabling technologies, and practical constraints such as data and compliance. Students will build a shared vocabulary, map organizational competencies, and practice communicating AI value and risks to prepare for deeper technical and managerial work in subsequent units.
Learning Objectives
- Analyze market and organizational drivers for AI adoption and estimate potential business impacts using real-world examples
- Differentiate AI systems from non-AI tools by identifying enabling technologies, typical capabilities, and key limitations in enterprise scenarios
- Apply the AI competency hierarchy and democratization principles to recommend roles, skills, and training priorities for a sample organizational chart
- Evaluate data, compliance, and ethical risks and produce visualizations and stakeholder-facing recommendations that communicate both value and mitigation strategies
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
Free
Leave a Reply