Artificial Intelligence for Business and Workplace Innovation

2026 Curriculum and Completion Plan

This structured 24-hour certificate contains eight sequenced units, applied work products, knowledge checks and a capstone.

Learning Outcomes

• Apply current concepts, standards and professional responsibilities.
• Use structured tools to plan, analyze, document and communicate work.
• Recognize ethical, legal, security, quality and referral risks.
• Demonstrate learning through applied work products and a capstone.

Eight-Module Curriculum

1. Module 1: AI Foundations and Business Value — AI terminology, capabilities, limitations, value cases and human oversight.
2. Module 2: Data, Machine Learning and Analytical AI — data quality, models, classification, prediction and decision support.
3. Module 3: Generative AI and Prompt Design — language models, multimodal tools, prompt patterns, verification and iteration.
4. Module 4: Automation and Digital Workflows — process mapping, task automation, integration, controls and exception handling.
5. Module 5: AI-Assisted Decisions and Innovation — decision quality, experimentation, measurement and responsible innovation.
6. Module 6: Ethics, Privacy, Bias and Security — fairness, privacy, intellectual property, cybersecurity and accountable use.
7. Module 7: Implementation, Governance and Change — policy, roles, procurement, workforce readiness, monitoring and adoption.
8. Module 8: AI Adoption and Innovation Capstone — integration of opportunity analysis, design, risk, implementation and evaluation.

Learning Resources

Required digital resource: Cengage MindTap for Hoisington/Ciampa, Introduction to Artificial Intelligence: A Business Perspective, 1st Edition (ISBN 9798214024332), linked through ADRA LTI 1.3.

Completion Requirements

Complete all eight units in order, finish every required activity, achieve at least 80 percent on required assessments and submit the capstone. Estimated total learning time: 24 hours.