This unit guides learners through converting data and AI strategy into actionable programs by evaluating costs, prioritizing use cases, and defining project scope, KPIs, and stakeholder roles. Students will assess foundation model readiness, skills and compliance gaps, and produce implementation artifacts such as project charters, training plans, and monetization recommendations to prepare for technical deployment.
Learning Objectives
- Analyze total cost of ownership and cost-benefit trade-offs to recommend build-vs-buy options for specified data and AI solutions
- Evaluate and prioritize potential use cases by scoring strategic value, financial impact, compliance risk, and technical feasibility using defined KPIs
- Design a comprehensive project charter and implementation plan that defines scope, schedule, stakeholders, KPIs, training/hiring needs, and resource allocation for a selected data initiative
- Assess organizational readiness for foundation models by identifying skill gaps, data infrastructure and compliance requirements, and proposing mitigation and monetization strategies
Curriculum
- 1 Section
- 23 Lessons
- 30 hours
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- Unit 3 — Operationalizing Data & AI Strategy23
- 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
Free
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