Develop the skills useful for this field
This domain is for people framing an AI initiative at team or organisational level. Associated learning paths cover process mapping, AI-potential assessment, governance, product trade-offs and use-case preparation.
Related occupations and skills
The terms below are derived from the catalogue’s learning data.
Target occupations
Skills covered
Professional use cases in associated training
These use cases are drawn from courses actually linked to this broad professional domain.
Training available in this topic
Open the catalogue to review course details, access conditions, and your personal progress.

AI for Beginners
A beginner-friendly introduction to AI for non-technical people: core concepts, key terminology, practical use cases and ethical limits. No programming skills required; focused on understanding and applying AI in professional contexts.
Training · Beginner1 courses · 25 activities · 4 exercises · 10 videos

AI FinOps and Cost Engineering Specialist
Understand and optimize AI-related costs: token usage, GPU expenses, storage, vector DBs, evaluations, model routing and caching, budgets, and unit economics.
Training · Intermediate4 courses · 88 activities · 24 exercises · 12 videos

Business Process Transformation with AI
DATAS-STD-BPM-AI-001 methodology for transforming business processes: identification, mapping, documentation, AI potential assessment and prioritization of use cases. A program focused on systematic analysis and building an operational use-case portfolio.
Training · Intermediate5 courses · 17 activities · 0 exercises · 0 videos

AI Product Management and Human-Centered UX Specialist
Learn to design AI products that are useful and adopted by combining product discovery, human-centered UX, human-in-the-loop feedback, trust-building, and launch metrics. Practical focus on UX, feedback loops, and adoption indicators.
Training · Intermediate4 courses · 92 activities · 36 exercises · 12 videos

AI Governance, Compliance and Responsible AI Leader
Establish auditable AI governance: inventory systems, risk classification, policies, alignment with NIST AI RMF and regulatory readiness, documentation and incident reporting.
Training · Advanced4 courses · 84 activities · 13 exercises · 12 videos
Explore other professions
Compare this topic with other public learning paths and choose the field that best matches your professional objective. View all topic pages.