This unit translates strategic intent into actionable plans by assessing build-vs-buy tradeoffs, defining project charters, and aligning stakeholders, skills, and KPIs for data and AI initiatives. Students will prepare operational artifacts—use-case roadmaps, audits, training and hiring plans, and governance recommendations—that enable effective execution and measurement of value.
Learning Objectives
- Analyze build-versus-buy options for a proposed data/AI use case by comparing costs, timelines, compliance risks, and required skill sets, and produce a justified procurement recommendation.
- Evaluate and prioritize potential data and AI use cases by applying KPI, feasibility, and financial-impact criteria to produce a ranked roadmap suitable for executive decision-making.
- Design a complete project charter and data resources audit that defines scope, schedule, stakeholders, success metrics (KPIs), governance controls, and foundation-model considerations for an initiative.
- Develop a staffing, training, and compliance plan that addresses identified skills gaps, stakeholder alignment, model management needs (including fine-tuning), and potential data monetization pathways.
Curriculum
- 1 Section
- 23 Lessons
- 30 hours
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- Unit 3 — Implementing Data & AI Initiatives23
- 1.1Cost Considerations: Build vs. Buy20 mins
- 1.2Researching and Identifying Appropriate Use Cases20 mins
- 1.3Considerations for Foundation Models in Data Infrastructure20 mins
- 1.4Evaluating Skill Set Needs for Managing and Fine-tuning Foundation Models20 mins
- 1.5Strategies for Improving Overall Adherence and Compliance20 mins
- 1.6Defining the Scope, Schedule, Stakeholders, and KPIs for the Intended Data Initiative20 mins
- 1.7Addressing Data Skills and Literacy Gaps20 mins
- 1.8Stakeholder and Departmental Alignment20 mins
- 1.9To the Product and Program Managers20 mins
- 1.10Crafting an Effective Plan: Data Strategy vs. AI Strategy20 mins
- 1.11Financial Improvements Use Cases20 mins
- 1.12Notes20 mins
- 1.13Speed and Efficiency20 mins
- 1.14Extracting Relevant Information from Existing Documentation and Interviews20 mins
- 1.15Conducting and Producing a Data Resources Audit20 mins
- 1.16Notes20 mins
- 1.17How to Write a Project Charter20 mins
- 1.18Developing Training Plans20 mins
- 1.19Training and Hiring Recommendations20 mins
- 1.20To the Data and Technology Professionals20 mins
- 1.21Data Product vs. Data Project vs. Data Initiative20 mins
- 1.22Data Monetization Use Cases20 mins
- 1.23Recommended Reading20 mins
Instructor
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