Master Class: AI4Business – Apply and Scale AI for Busines SuccessAI4BASMTMaster ClassMT-AI4BAS1.0<ul>
<li>Understand AI fundamentals and key terminology (AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins)</li><li>Understand the opportunities for deploying AI in real business workflows and assess the concrete ROI</li><li>Learn practical fundamentals such as prompt engineering and the use of various AI applications for everyday work support in a hands-on manner</li><li>Implement responsible and secure AI use in daily work and apply regulatory frameworks such as the EU AI Act and GDPR</li><li>Build a personal AI productivity toolbox</li><li>Identify, evaluate, and prioritize high-value AI use cases</li><li>Understand the AI product lifecycle from idea to scale</li><li>Analyze organizational AI readiness across 6 dimensions</li><li>Shape leadership in the AI era and develop new team structures</li><li>Create and pitch an AI transformation strategy including a roadmap</li></ul><p>No special technical knowledge is required. An openness to new technologies and the willingness to learn AI as a business skill are sufficient.</p><p>Executives, product owners, change agents, and members of transformation teams who want to systematically drive AI value creation across the organization.</p><h5>Day 1: AI Fundamentals & Business Understanding</h5><ul>
<li>Welcome & Mindset Shift: Why AI literacy is the new core competency</li><li>Reverse Future Walk: How AI is changing work (without replacing people)</li><li>AI explained clearly: AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins</li><li>What AI can do – and what it cannot</li><li>Exercise: Why prompt engineering is crucial</li><li>AI in real business workflows: Use cases, ROI, AI vs. RPA</li><li>Responsible & secure AI: Data privacy, IP, hallucinations, bias, EU AI Act</li><li>Breakout: Where AI can support your own daily work</li></ul><h5>Day 2: Personal AI Productivity</h5><ul>
<li>Practical AI for daily work: Emails, meetings, analyses, presentations</li><li>Role-based prompting patterns and thinking in "AI Tasks"</li><li>Breakout: Teams use AI to solve their own work challenges</li><li>Storytelling & communication with AI: Presentations, pitches, storylines</li><li>Building a personal AI productivity toolbox (prompt/skill library, workflow setup)</li></ul><h5>Day 3: From Ideas to Impactful AI Use Cases</h5><ul>
<li>AI use case strategy: What makes a good use case (value, feasibility, risk)</li><li>Use case checklist: Business value, data quality, regulation & ethics</li><li>AI product lifecycle: From idea → PoC → MVP → product → scaling</li><li>Methods deep dive: AI Innovation Sprint, AI Use Case Canvas</li><li>Breakout: Teams develop real AI use cases for their organization</li></ul><h5>Day 4: Scale AI & organizational AI readiness</h5><ul>
<li>Organizational AI readiness: The 6 AI readiness dimensions, AI operating model</li><li>Defining roles, governance, and responsibilities</li><li>AI transformation: Good practices & lessons learned</li><li>Breakout: AI Readiness Quick Check + designing the transformation roadmap</li><li>Future of Work with AI: Modern leadership skills, new hybrid human-AI team structures</li><li>Final Capstone: Elevator pitch AI transformation strategy</li></ul>- Understand AI fundamentals and key terminology (AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins)
- Understand the opportunities for deploying AI in real business workflows and assess the concrete ROI
- Learn practical fundamentals such as prompt engineering and the use of various AI applications for everyday work support in a hands-on manner
- Implement responsible and secure AI use in daily work and apply regulatory frameworks such as the EU AI Act and GDPR
- Build a personal AI productivity toolbox
- Identify, evaluate, and prioritize high-value AI use cases
- Understand the AI product lifecycle from idea to scale
- Analyze organizational AI readiness across 6 dimensions
- Shape leadership in the AI era and develop new team structures
- Create and pitch an AI transformation strategy including a roadmapNo special technical knowledge is required. An openness to new technologies and the willingness to learn AI as a business skill are sufficient.Executives, product owners, change agents, and members of transformation teams who want to systematically drive AI value creation across the organization.Day 1: AI Fundamentals & Business Understanding
- Welcome & Mindset Shift: Why AI literacy is the new core competency
- Reverse Future Walk: How AI is changing work (without replacing people)
- AI explained clearly: AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins
- What AI can do – and what it cannot
- Exercise: Why prompt engineering is crucial
- AI in real business workflows: Use cases, ROI, AI vs. RPA
- Responsible & secure AI: Data privacy, IP, hallucinations, bias, EU AI Act
- Breakout: Where AI can support your own daily work
Day 2: Personal AI Productivity
- Practical AI for daily work: Emails, meetings, analyses, presentations
- Role-based prompting patterns and thinking in "AI Tasks"
- Breakout: Teams use AI to solve their own work challenges
- Storytelling & communication with AI: Presentations, pitches, storylines
- Building a personal AI productivity toolbox (prompt/skill library, workflow setup)
Day 3: From Ideas to Impactful AI Use Cases
- AI use case strategy: What makes a good use case (value, feasibility, risk)
- Use case checklist: Business value, data quality, regulation & ethics
- AI product lifecycle: From idea → PoC → MVP → product → scaling
- Methods deep dive: AI Innovation Sprint, AI Use Case Canvas
- Breakout: Teams develop real AI use cases for their organization
Day 4: Scale AI & organizational AI readiness
- Organizational AI readiness: The 6 AI readiness dimensions, AI operating model
- Defining roles, governance, and responsibilities
- AI transformation: Good practices & lessons learned
- Breakout: AI Readiness Quick Check + designing the transformation roadmap
- Future of Work with AI: Modern leadership skills, new hybrid human-AI team structures
- Final Capstone: Elevator pitch AI transformation strategy4 jours5950.005950.005950.005950.005950.00