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A high-impact executive program equipping leaders to implement AI with practical tools and real-world application.

Developed by Paul Kim. Stanford SMILE Methodology
Corporate AI Training · Geneva, Switzerland

From Strategy to Execution: Scaling AI Across the Enterprise
Your team is falling
behind on AI.
Fix it in 75 hours.
Modules
Request a Corporate Proposal
6
World-Class Faculty
75+
Hours of Content
1200+
Active Students
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
    Executive AI Transformation Program — full team upskill
About SMILE
Stanford Mobile Inquiry-based Learning Environment
Student-Driven Learning
Students take ownership of their learning by asking meaningful questions and engaging in self-assessment.
Teacher Facilitation
Teachers guide rather than instruct, fostering an environment of discovery and inquiry.
Global Community
Connect with over 3,000,000 users from 35+ countries in a diverse, enriching educational experience.
Accessible Anywhere
Learn on any device - mobile, tablet, desktop, or even Raspberry Pi.
Paul Kim
Author of Stanford SMILE Methodology
  • The creator and initiator of SMILE is Paul Kim, a professor at Stanford University Graduate School of Education.
  • Associate Dean & CTO at Stanford University Graduate School of Education
  • Chair of International Expert Committee at the World Bank Group
  • Tools over outcomes
Organizations fixate on tools rather than the business outcomes those tools are meant to deliver.
  • Misclassified as technical
AI treated as a technology initiative, leaving leadership out of the equation entirely.
  • Fragmented execution
Siloed efforts with no unified direction, creating duplication and misaligned priorities.
  • Theory without practice
Training programs emphasize concepts without enabling real-world implementation.
The competitive advantage is no longer access to AI — it is the ability to execute AI at scale.
The problem
Execution is the bottleneck.
AI is no longer optional.
Billions are being invested into artificial intelligence. Yet the majority of organizations remain stuck in early experimentation — unable to bridge the gap between pilot and scale.
From Learning to Execution
The program is built on the Stanford SMILE Methodology — an inquiry-driven, case-based approach that transforms participants from passive learners into active problem-solvers capable of driving real organizational change.

Case-Based Learning
Participants engage with real organizational challenges — not hypothetical examples — developing transferable judgment and decision-making capability.
01
Inquiry-Driven Methodology (SMILE)
Participants generate, stress-test, and refine high-quality solutions through structured inquiry and iterative evaluation.
02
Hands-On Development
Build AI applications, automate workflows, and develop functional prototypes tied to real business value.
03
Collaborative Problem Solving
Cross-functional teams simulate real execution environments — building alignment skills alongside technical capability.

04
Participants do not leave with notes. They leave with solutions they can implement.
Execution Framework
The 5-Stage
Execution Path
Participants follow a structured framework guiding them from opportunity identification to full organizational integration.
Identify
Pinpoint high-impact AI opportunities aligned with strategic business goals.
Design
Develop AI-enabled solutions with clear, defensible value propositions.
Build
Prototype and validate using modern AI tools and platforms.
Integrate
Embed solutions into workflows, decision systems, and organizational processes.
Scale
Expand successful initiatives across functions, business units, and geographies.
Who is this for
Designed for leaders
accountable for results.
This program is for those who carry the responsibility of driving transformation — not for spectators.
Executives & Senior Leaders
Driving strategic transformation, organizational change, and enterprise AI adoption at scale.
Government & Policy Leaders
Building national AI capability, regulatory frameworks, and workforce readiness programs.
Innovation & Strategy Teams
Identifying, validating, and scaling AI-driven initiatives across the enterprise.
Entrepreneurs & Founders
Creating AI-enabled products, platforms, and ventures with scalable business models.
LET'S GO!
Ethical and sustainable
Accessible
promoting long-term responsibility in business and society.
Practical
grounded in real-world challenges and solutions
  • Accredited and recognized internationally
  • AI-first curriculum across all programs
  • Students from 40+ countries
  • Founded in Geneva, Switzerland
Entrepreneurial
Cultivating creativity, initiative, and leadership in every learner.
open to students from diverse backgrounds and regions
Swiss Institute of Technology and Entrepreneurship is founded on the belief that education should be:
Who We Are
Learn about US
A clear, actionable AI strategy aligned with organizational goals and competitive realities.
Real AI solutions — built and tested — grounded in your specific organizational context.

A practical plan for scaling AI initiatives across functions and business units.

Strategic Clarity
Built & Validated Solutions
Scaling Roadmap

Identify and rank high-impact AI opportunities using proven evaluation frameworks.

Lead cross-functional AI initiatives with clarity, authority, and alignment needed to succeed.
A comprehensive blueprint tailored to your organization — plus a portfolio of validated use cases.

Opportunity Prioritization

Executive Confidence

AI Strategy Blueprint

Leave with solutions,
not slide decks.
What You Achieve
Participants do not leave with notes. They leave with solutions they can implement the following Monday.
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 & Landscape
    Embodied AI, robotics, 2026 investment landscape, VC perspective on what actually scales. Taught by practitioners, not academics.

    4.5h / Live Q&A
    2
  • Design Thinking & Innovation
    Stanford DT methodology, Reframing & prototyping, and Pitching AI initiatives — from problem framing to rapid testing and compelling execution.

    9h / Live Sessions / Offline Depth
    3
  • Hard Entrepreneurial Skills
    TAM/SAM/SOM, AI cost structure, Unit economics & pricing models, and Finding customers & scaling GTM — from market sizing to monetization and scalable growth.

    4.5h / 20 Lessons
    4
  • Operations in the AI Era
    Process analysis & improvement, Supply chain basics & inventory, and Socially responsible supply chains — optimizing operations, managing flow, and building sustainable systems.

    13.5h / 37 Lessons
    5
  • Deep Learning & Engineering
    Neural nets, CNNs, Transformers, and LLMs; Fine-Tuning, RAG, and AI Agents; Gradio apps, API Economy, and Production AI — from core models to deployment and scalable AI systems.

    11h / 46 Lessons
    6
  • Soft Entrepreneurial Leadership
    Communication, Negotiation, and Storytelling; Leading teams & managing AI change; Decision-making under uncertainty — driving alignment, leadership, and confident action in complex environments.
    7
Faculty
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
    Stanford University
    World Bank Expert Committee
    Creator of Stanford SMILE. CTO & Associate Dean, Stanford GSE. Led AI education initiatives across 50+ countries.
  • Dr. Li Jiang

    AI Trends & Robotics
    Head of AI, Glodon
    Visiting Prof., Guangzhou Univ.
    Expert in embodied AI, robotics, and industry-specific 2026 AI trends. Leads AI product development at Glodon.
  • Dr. Joy Chen

    AI Investment
    Senior Advisor
    Stanford Accelerator for Learning
    Advises governments & organizations on AI strategy, workforce transformation, and national competitiveness.
  • Sergio Monsalve

    Venture Strategy
    Founding Partner
    Roble Ventures, Silicon Valley
    VC investor in AI startups across the Americas. Expert in evaluating, pitching, and scaling AI business models.
  • Bola Adegbulu

    Hard Entrepreneurial Skills
    AI Consultant
    Infinite Ascent Ventures
    Specialist in taking AI from prototype to production. Covers market sizing, unit economics, pricing models, and building the revenue engine for AI ventures.
  • Prof. Yoo-Taek Lee

    Operations & Digital Transformation
    Vice Rector, Woosong Univ. Kazakhstan
    Former: Boston University · Babson
    Six Sigma Blackbelt (ASQ). Expert in smart factory, digital transformation, and enterprise AI deployment.
Ecosystem
Everything in One Smart LMS
Our learning platform is built around the student's entire journey — from lectures to career placement. Not just a course list.
Recognition
Internationally Accredited & Globally Recognized
A SITE diploma is recognized and valued worldwide. Our accreditations confirm the highest standards of quality in education, management, and professional development.
Partners
Our partners & clients
Our Partners & Ecosystem SITE collaborates with leading academic institutions, business networks, and innovation hubs across Europe, Central Asia, and the Americas.
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.
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