Elective
AI Convergence Solution Consulting
From AI readiness assessment to strategic proposals - learn to lead AI projects as a consultant.
Duration
12 weeks, 24 sessions
Audience
Practitioners who advise on AI adoption, project managers, and aspiring consultants.
Prerequisites
Industry familiarity and basic analytics; spreadsheet and presentation skills.
Venue
Thu 19:00-21:00, Room 1 (B414), from 17 September 2026. 20 places.
Tools
Browser Spreadsheet Presentation tools Basic analytics
Learning Outcomes
- ✓ Assess organizational AI readiness across data, infrastructure, people, and governance
- ✓ Identify, prioritize, and validate AI use cases with feasibility and ROI modeling
- ✓ Design end-to-end AI solutions covering data lifecycle, MLOps, and productization
- ✓ Apply AI governance frameworks (NIST) and manage organizational change
- ✓ Write and deliver strategic AI proposals with KPI architecture and executive presentations
Curriculum
12-Week Curriculum
| Week | Session A | Session B |
|---|---|---|
| 1 | The AI Ready Consultant | AI Readiness: Data & Infra |
| 2 | AI Readiness: People & Governance | Use Case Identification & Prioritization |
| 3 | Feasibility & Value (ROI / TCO Modeling) | Research & Strategic Roadmap |
| 4 | GenAI - RAG vs Fine Tuning | Advanced GenAI - Hybrid |
| 5 | Solution: Data & AI Lifecycle | Productization: MLOps Blueprint |
| 6 | Stakeholder Comms: Tech Visualization | Data Storytelling for Value |
| 7 | AI Lifecycle vs Traditional SW | Agile for AI: Managing Experiments |
| 8 | AI Project Management: PRD/BRD, RACI, RAID | Operation: AI Governance vs Data Governance |
| 9 | Governance: NIST & Regulations | Change Management & Adoption |
| 10 | Strategic Proposal I: Solution & Value | Strategic Proposal II: Exec/Gov/Risk |
| 11 | Optimization & Measurement | MLOps: Monitoring & Retraining |
| 12 | Case Integration: AI KPI Architecture and MLOps Consulting Cases | Capstone: End-to-End Proposal |
Assessment
Attendance 40%
Expert Lecture Participation 10%
Exams & Core Project 50%
Completion requires ≥75% attendance (9 of 12 weeks), grade D or above in both enrolled courses, and taking the midterm TEST (Week 7, online) and final TEST (Week 12, online).
Grades: A · B · C · D · F
Tools & Platforms
Browser Spreadsheet Presentation tools Basic analytics