Neopolis Akademy · Free AI training

Free AI training in strategy and transformation

Free AI training for governance, strategy, processes and responsible AI implementation.

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.

5learning paths
18courses
306activities
77exercises
46videos

Related occupations and skills

The terms below are derived from the catalogue’s learning data.

Target occupations

Cross-functional path

Skills covered

Applied AI skills

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

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IA pour les nuls – Initiation

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 · Beginner

1 courses · 25 activities · 4 exercises · 10 videos

AI FinOps and Cost Engineering Specialist

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 · Intermediate

4 courses · 88 activities · 24 exercises · 12 videos

Transformation des Processus par l'IA

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 · Intermediate

5 courses · 17 activities · 0 exercises · 0 videos

AI Product Management and Human-Centered UX Specialist

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 · Intermediate

4 courses · 92 activities · 36 exercises · 12 videos

AI Governance, Compliance and Responsible AI Leader

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 · Advanced

4 courses · 84 activities · 13 exercises · 12 videos

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