How literate are you in AI? Take this quiz to assess your knowledge of one of three types of roles in AI
Master the skills you need to thrive in the AI era — whether you’re leading strategy, orchestrating projects, or building systems.
Choose Your Path and Take the Self-Assessment
The AI landscape demands different skills from different roles. These three roadmaps guide you from foundation to advanced mastery, each tailored to a distinct career trajectory. All three are grounded in the Periodic Cube of AI Framework.
Take the AI Skills Self-Assessment to identify your starting point and skill gaps.
The Three Roadmaps
🎯 The Managerial Leader
- AI governance frameworks and regulatory compliance (EU AI Act, NIST)
- FinOps and AI investment portfolio management
- Organizational design for AI capabilities
- Strategic roadmapping and stakeholder engagement
🔄 The Organizational Orchestrator
- End-to-end AI project lifecycle management
- Human-in-the-loop workflow design
- Change management for AI adoption
- Multi-team coordination and vendor management
⚙️ The Technical Specialist
- Python, ML frameworks, and cloud infrastructure
- Model training, fine-tuning, and evaluation
- MLOps, deployment, and drift monitoring
- Multi-agent systems and AI platform architecture
How These Roadmaps Work
Each roadmap follows a three-level progression:
| Level | Duration | Focus |
|---|---|---|
| Foundation | Months 1–6 | Core concepts, terminology, basic tools |
| Intermediate | Months 7–18 | Hands-on practice, leading initiatives |
| Advanced | Months 19–30 | Strategic leadership, complex systems |
Every level includes:
- Core knowledge areas mapped to the Periodic Cube of AI dimensions
- Recommended courses and certifications
- Essential reading
- Practical projects to build real experience
Cross-Cutting Skills
Regardless of your path, certain capabilities matter for everyone working with AI:
Communication — AI work is cross-functional. You’ll collaborate with people from vastly different backgrounds.
Continuous learning — The field evolves rapidly. Build habits for staying current.
Ethics and responsible AI — Every role carries responsibility for building fair, transparent systems.
Business acumen — Understanding value creation matters whether you’re coding models or presenting to the board.
The Periodic Cube of AI
These roadmaps reference the Periodic Cube of AI — a unified framework that maps 100+ AI components across seven dimensions: Functional Groups, SFIA Categories, Organizational Ownership, Criticality, Cost Structure, Technology Readiness, and Human-in-the-Loop Intensity.
Understanding this framework helps you see how individual skills connect to the broader AI ecosystem.
Get Started
- Assess your current skills → Take the Self-Assessment
- Choose your primary path → Pick the roadmap that matches your role and goals
- Create your learning plan → Use the recommended resources as a starting point
- Track your progress → Revisit the assessment quarterly to measure growth
Questions or feedback? Get in touch.