In this six-day training course, you’ll learn how to effectively utilize data and AI within your organization without any prior technical knowledge. You’ll gain insight into strategy, governance, stakeholder engagement, and the practical application of AI. Through theory, real-world examples, workshops, and group assignments, you’ll work step by step toward a concrete AI implementation plan tailored to your own work environment. By the end of the course, you’ll be able to lead and guide data-driven work and AI initiatives as an advisor, policymaker, or project leader.

What you learn

• Explain key concepts: data, analytics, machine learning, and AI, using relatable real-world examples.
• Identify the applications and limitations of AI across various sectors.
• Translate an AI vision into business objectives and develop a concrete Data & AI roadmap.
• Establish data governance: privacy, ethics, compliance, and a data-driven culture.
• Guide AI implementation: phases, roles, risks, and success factors.
• Analyze and engage stakeholders, and develop communication plans for AI adoption.
• Translate the value of AI into KPIs and measurable business results.
• Identify modern AI tools and translate strategic plans into concrete actions.

Contents (General Program)

Day 1 – Fundamentals of Data & AI

• Key concepts, areas of application, the data-to-value chain, and initial opportunities and risks for the organization.

Day 2 – From Vision to AI Roadmap

• Translating the AI vision into business goals, building blocks of an AI strategy, and drafting an initial roadmap.

Day 3 – Governance and Data-Driven Work

• Data governance, privacy, ethics, compliance, and designing a governance model.

Day 4 – From Plan to Execution

• Phases of AI implementation, required roles and skills, risks, and developing an implementation plan.

Day 5 – Stakeholders and Adoption

• Stakeholder analysis, communication and adoption plan, and translating AI value into KPIs.

Day 6 – Practical AI Applications & Conclusion

• Identifying and applying modern AI tools, translating strategic plans into actionable steps, and reflecting on next steps.

• Consultants, policymakers, project leaders, and team coordinators involved in innovation or digital transformation.
• Professionals who want to use data and AI in their work but lack a technical background.
• Managers and executives who want to understand, steer, and implement AI initiatives.
• Anyone who wants to play a strategic and advisory role in their organization’s data and AI transition.

Prerequisites

• No prior technical knowledge is required.
• A laptop is recommended for digital assignments.
• An interest in organizational issues related to innovation or strategy is a plus.