AI Career mini-MBA

Corporate AI Training · Geneva, Switzerland

Your team is falling
behind on AI.
Fix it in 40 hours.

The Mini MBA in AI is a full-stack corporate learning program designed to transform your people — from executives who can't evaluate AI vendors to managers who can build, deploy, and govern AI systems.

Request a Corporate Proposal

5
World-Class Faculty

40+
Hours of Content

1200+
Active Students

Trusted credentials

QAHE Accredited
ISO 21001:2018
CEEMAN Member
ECBE Member
Stanford SMILE Methodology
Geneva, Switzerland

Your competitors aren't waiting.

Every week without an AI-literate workforce is a week your rivals gain ground. These are the symptoms we see in every organization we talk to.

No shared AI language

Business and tech teams talk past each other. Executives can't evaluate vendor claims. Strategy gets built on buzzwords.
AI budget going nowhere

Tools adopted without a framework. Pilots that never scale. Leadership that can't measure ROI because they don't understand what they're measuring.
Innovation stuck at the idea stage

Teams generate proposals, then stall. No structured process to go from concept to working prototype to business case.
Unmanaged AI risk

No one owns bias, hallucination, or governance. Legal and reputational liability accumulates silently while deployment accelerates.

The Cost of Doing Nothing

Compare what organizations pay for AI upskilling versus what disorganized AI adoption actually costs them.

$5,000–15,000

Typical corporate AI workshop (1 day)
$80,000+/person

Executive MBA programs (full)
$250,000+

Failed AI pilot cost (average)
Fraction of one pilot

Mini MBA in AI — full team upskill

Learn more

Program 2

AI Strategy &
Business Application
~40 hours
- Introduction to AI — Python, prompt engineering, real model training
- Global AI Trends — 2026 landscape with Dr. Li Jiang & Dr. Joy Chen
- Industry Cases — Finance, Healthcare, Manufacturing, Retail (live sessions)
- Stanford Design Thinking & Innovation Sprints
Program 2

Deep Learning &
Entrepreneurial Leadership
~25 hours
- Neural Networks, CNNs, Transformers, LLMs — built from scratch
- Fine-Tuning, RAG, AI Agents — production-ready projects
- Soft Entrepreneurial Skills — 46 lessons across leadership, comm & resilience
- AI Pitch Toolkit — present AI initiatives to boards and investors

Modules

Introduction to AI

Google Colab labs, prompt engineering, training your first model. Every participant walks away having built something real.

9h / 27 Lessons

1
AI Trends & Global Landscape

Embodied AI, robotics, 2026 investment landscape, VC perspective on what actually scales. Taught by practitioners, not academics.

4.5h / Live Q&A

2
Industry Cases

Real cases in Finance, Healthcare, Manufacturing, Retail and Government. Discussed in live online sessions; in-depth offline in Option 2.

9h / Live Sessions / Offline Depth

3
Design Thinking & Innovation

Stanford methodology for AI projects — reframing, prototyping, pitching. Never-Assume Principle applied to your organization's real challenges.

4.5h / 20 Lessons

4
Deep Learning & Engineering

Neural nets to LLMs. Fine-tuning, RAG, agents and Gradio apps — for technical leads and product managers who need to direct AI engineering.

13.5h / 37 Lessons

5
Entrepreneurial Leadership

Communication, negotiation, leading under uncertainty, emotional intelligence. 46 lessons to build leaders who can drive transformation — not just understand it.

11h / 46 Lessons

6

Not instructors. Practitioners.

Every faculty member teaches from a position of real authority — building AI systems, advising governments, writing VC checks, running universities.

Prof. Paul Kim

Lead Faculty

CTO & Associate Dean
Stanford GSE

World Bank Expert Committee Chair
Creator of SMILE Methodology
Dr. Li Jiang

AI Trends & Robotics

Head of AI, Glodon
(China's largest construction tech)

Visiting Prof., Guangzhou University & China Academy of Art
Dr. Joy Chen

AI Investment & Strategy

Senior Advisor
Stanford Accelerator for Learning

Advises governments & orgs on AI strategy & workforce transformation
Sergio Monsalve

Venture Strategy

Founding Partner
Roble Ventures, Silicon Valley

VC portfolio in AI startups across Americas & emerging markets
Prof. Yoo-Taek Lee

Digital Transformation

Vice Rector, Woosong Univ. Kazakhstan
Former: Boston University
& Babson College

Six Sigma Blackbelt (ASQ)

Participation Options

Choose your level
of transformation.

Both options run on the same Stanford-validated platform. The difference is depth, intensity, and access.

Online +

Live Sessions

Option 1

Flexible, asynchronous — fits your team's schedule. Structured enough to guarantee completion and transformation.

✓ Full async access — Programs 1 and/or 2 on SITE's AI-powered LMS

✓ SMILE interactive activities — inquiry, open, and team modes

✓ Google Colab coding labs — real AI tools, not slides

✓ Industry Cases discussed in live online sessions with faculty

✓ 2–3 live online Q&A sessions with expert speakers

✓ Real-time admin dashboard — track team progress and engagement

✓ SITE AI University certificate of completion

Start with Option 1

Full

Immersion

Option 2

For organizations committed to deep transformation — executive cohorts, high-potential managers, strategic AI initiatives.

✓ Everything in Option 1

✓ Industry Cases: in-depth offline case analysis workshop

✓ 2-day offline workshop with Prof. Paul Kim— Stanford DT sprint, your org's AI strategy roadmap

✓ 2-day offline workshop with Prof. Yoo-Taek Lee— enterprise AI deployment, digital transformation

✓ Small-group format — direct faculty access, real problems addressed

✓ Organizational AI Roadmap deliverable — yours to keep

✓ Premium certificate + post-program SITE expert network access

Request Full Immersion Proposal

Get Started

Ready to build an
AI-ready organization?

Send us your team size, industry, and timeline. We'll prepare a tailored proposal within 48 hours — including curriculum recommendations, logistics, and pricing for your cohort.

Request a Proposal

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