Dr.Walter KurzMBA, M.Sc.
Enterprise AI architecture · Multi-agent systems · AI in valuation and risk
Levels I, II and III
Chief AI Officer curriculum
Build Chief AI Officer capability for the organisation you serve: company curriculum for profit-oriented companies, administrative curriculum for public authorities and institutions.
The two versions
Two versions, one role.
Which version applies follows from the kind of organisation you work in. Both are set out in full below, and both carry the same depth: thirteen modules each.
For profit-oriented companies
Company curriculum
You work in a company, and its AI has to earn its place: a return someone can point to, a market position it strengthens, and a risk the board can answer for. This is the version written for that.
Read the company curriculum
For public authorities, institutions and public-benefit bodies
Administrative curriculum
You work in an authority or a public institution, and its AI has to serve a mandate: procurement it can pass, duties of care it must keep, and decisions you can explain to the people they affect. This is the version written for that.
Read the administrative curriculumWhat it covers
Six pillars, thirteen modules, one accountable role.
Level I has thirteen modules. Level II has six. Level III adds four. Each level closes with an oral examination and a Swissi Academy for AI certificate.
Both versions run the same six pillars, so business case, technology, governance, implementation, English and presentation become one position you can defend.
Study fully online alongside your job: around three hours of live teaching a week, plus around fifteen hours a week of self-study, case work and assignments.
It is aligned with and built to the requirements of ISO/IEC 42001 for AI management systems, ISO/IEC 27001 for information security, ISO/IEC 27701 for privacy, ISO 37301 for compliance and ISO 26000 for social responsibility, so the governance work you do here can feed certification, compliance and accountability work in your organisation.
For profit-oriented companies
Company curriculum
Run the AI agenda of a commercial organisation.
You finish able to set an AI strategy, commission and govern the systems that carry it, judge their legal position, and defend the case in front of a board. Your organisation gains an officer who can carry AI decisions and the accountability that comes with them.
- Level I
- 6 pillars
- 13 modules
- 1 live AI project
- Oral examination and certificate
- Alongside your job, fully online
- Part I
AI for business
- Module 1Fundamentals of AI business
You learn where value arises, what can be protected, and how to judge an AI proposal before it absorbs budget.
- Module 2AI strategy and business models
You turn AI into strategic choices: build or buy, what is defensible, what changes in the business model, and what the law will not allow.
- Module 3AI operations and management
You run AI as a living function: portfolio cadence, funding, suppliers, adoption, benefits, retirement and the feedback that revises strategy.
- Module 1
- Part II
AI technology
- Module 4Fundamentals of AI and machine learning
You learn how AI and machine learning systems work, including why that same structure makes them attackable.
- Module 5AI system design and implementation
You read an AI system end to end: design, evaluation, oversight, exposure limits and data provenance as acceptance conditions.
- Module 6AI tools and platforms
You compare tools and platforms by cost, control, dependency, exit options, procurement constraints and shared operation.
- Module 4
- Part III
AI law
- Module 7International legal frameworks for AI
You learn how to place an AI system in the right legal framework, identify your role and derive the obligations that follow.
- Module 8Data protection rules and ethical aspects
You work through lawful use, rights, transparency and the ethical questions that remain after the legal answer is known.
- Module 9Legal challenges in the use of AI
You cover liability, contracts, intellectual property, employment and the documentation duties that make AI use accountable.
- Module 10AI governance and the management system
You build the governance charter, decision rights, inventory, risk appetite, evidence records, incident path and management system.
- Module 7
- Part IV
Live AI project
- Module 11Practical implementation of a live AI project
You carry a defined AI implementation through with the governance, evaluation and legal artefacts the earlier modules taught.
- Module 11
- Part V
Technical English
- Module 12Technical English for AI and technology governance
You practise supplier negotiations, audit conversations, regulator questions and board-level technical explanation in English.
- Module 12
- Part VI
Presentation
- Module 13Presentation and negotiation for AI projects
You present AI work under pressure, negotiate decisions and hold a justified refusal when the project should not proceed.
- Module 13
For public authorities, institutions and public-benefit bodies
Administrative curriculum
Run the AI agenda of a public body.
You finish able to set an AI strategy for your authority, commission and govern systems within procurement and data protection rules, and account for them to oversight bodies and to the public. Your organisation gains an officer who can carry AI decisions and the accountability that comes with them.
- Level I
- 6 pillars
- 13 modules
- 1 live AI project
- Oral examination and certificate
- Alongside your job, fully online
- Part I
AI for administration and government
- Module 1Fundamentals for the public sector
You learn where value arises, what can be protected, and how to judge an AI proposal before it absorbs budget.
- Module 2AI strategies for authorities and institutions
You turn AI into strategic choices: build or buy, what is defensible, what changes in the business model, and what the law will not allow.
- Module 3AI operations and management for public bodies
You run AI as a living function: portfolio cadence, funding, suppliers, adoption, benefits, retirement and the feedback that revises strategy.
- Module 1
- Part II
AI technology
- Module 4Fundamentals of AI and machine learning
You learn how AI and machine learning systems work, including why that same structure makes them attackable.
- Module 5AI system design and implementation
You read an AI system end to end: design, evaluation, oversight, exposure limits and data provenance as acceptance conditions.
- Module 6AI tools and platforms
You compare tools and platforms by cost, control, dependency, exit options, procurement constraints and shared operation.
- Module 4
- Part III
AI law
- Module 7International legal frameworks for AI
You learn how to place an AI system in the right legal framework, identify your role and derive the obligations that follow.
- Module 8Data protection rules and ethical aspects
You work through lawful use, rights, transparency and the ethical questions that remain after the legal answer is known.
- Module 9Legal challenges in the use of AI
You cover liability, contracts, intellectual property, employment and the documentation duties that make AI use accountable.
- Module 10AI governance and the management system
You build the governance charter, decision rights, inventory, risk appetite, evidence records, incident path and management system.
- Module 7
- Part IV
Live AI project
- Module 11Practical implementation of a live AI project
You carry a defined AI implementation through with the governance, evaluation and legal artefacts the earlier modules taught.
- Module 11
- Part V
Technical English
- Module 12Technical English for AI and technology governance
You practise supplier negotiations, audit conversations, regulator questions and board-level technical explanation in English.
- Module 12
- Part VI
Presentation
- Module 13Presentation and negotiation for AI projects
You present AI work under pressure, negotiate decisions and hold a justified refusal when the project should not proceed.
- Module 13
Next step
Build AI capability inside your organisation.
Tell us which version applies and how many staff members you want to train. Dates are agreed with you, and the teaching runs alongside their jobs.
Who teaches it
Learn from experienced practitioners.
Experts in technology, law, compliance, governance and organisational development. Each signs a confidentiality agreement protecting your projects and information.
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