Course Units/Overview for AI Project Management And Integration

Course Description

This course equips learners with the practical skills required to successfully plan, manage, and integrate Artificial Intelligence projects within organizations. It focuses on managing AI initiatives as business projects, covering scoping, vendor management, data readiness, integration, risk management, and organizational change. The course does not require technical or programming knowledge.

Course Learning Outcomes

By the end of the course, learners will be able to:
• Understand how AI projects differ from traditional IT and digital projects
• Translate business problems into clear AI project scopes
• Plan and manage AI implementation lifecycles
• Work effectively with AI vendors and technical teams
• Integrate AI solutions into existing business processes
• Manage risks, ethics, and change during AI adoption
• Evaluate AI project performance and business value

Course Outline

Week 1: Foundations of AI Project Management

• Overview of AI projects in business
• Key differences between AI and traditional projects
• Roles and responsibilities in AI initiatives
• Common reasons AI projects fail

Week 2: AI Use Case Identification and Scoping

• Identifying high-value AI opportunities
• Defining project objectives and success metrics
• Feasibility assessment and risk identification
• Aligning AI projects with business strategy

Week 3: Data and Organizational Readiness

• Data requirements for AI projects
• Data quality, availability, and governance
• Infrastructure and system considerations
• Organizational readiness assessment

Week 4: Managing AI Development and Vendors

• Build, buy, or partner decisions
• Working with AI vendors and consultants
• Managing timelines, costs, and expectations
• Contracting, accountability, and performance management

Week 5: Integration and Change Management

• Integrating AI into existing workflows and systems
• User adoption and workforce impact
• Managing resistance to change
• Training and communication strategies

Week 6: Monitoring, Governance, and Scaling

• Measuring AI performance and return on investment
• Ongoing monitoring and risk management
• Ethical considerations and responsible AI use
• Scaling successful AI initiatives across the organization

Assessment and Certification

Assessment is based on:
• Participation in discussions and activities
• Case study analysis
• Final AI Project Implementation Plan

Successful participants receive a Certificate of Completion in AI Project Management and Integration (AI-PMI 101).