{"course":{"productid":37203,"modality":1,"active":true,"language":"fr","title":"Master Class: AI4Business \u2013 Apply and Scale AI for Busines Success","productcode":"AI4BAS","vendorcode":"MT","vendorname":"Master Class","fullproductcode":"MT-AI4BAS","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/masterclass-ai4bas","objective":"<ul>\n<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>","essentials":"<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>","audience":"<p>Executives, product owners, change agents, and members of transformation teams who want to systematically drive AI value creation across the organization.<\/p>","contents":"<h5>Day 1: AI Fundamentals &amp; Business Understanding<\/h5><ul>\n<li>Welcome &amp; 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 &ndash; 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 &amp; 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>\n<li>Practical AI for daily work: Emails, meetings, analyses, presentations<\/li><li>Role-based prompting patterns and thinking in &quot;AI Tasks&quot;<\/li><li>Breakout: Teams use AI to solve their own work challenges<\/li><li>Storytelling &amp; 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>\n<li>AI use case strategy: What makes a good use case (value, feasibility, risk)<\/li><li>Use case checklist: Business value, data quality, regulation &amp; ethics<\/li><li>AI product lifecycle: From idea &rarr; PoC &rarr; MVP &rarr; product &rarr; 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 &amp; organizational AI readiness<\/h5><ul>\n<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 &amp; 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>","objective_plain":"- Understand AI fundamentals and key terminology (AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins)\n- Understand the opportunities for deploying AI in real business workflows and assess the concrete ROI\n- Learn practical fundamentals such as prompt engineering and the use of various AI applications for everyday work support in a hands-on manner\n- Implement responsible and secure AI use in daily work and apply regulatory frameworks such as the EU AI Act and GDPR\n- Build a personal AI productivity toolbox\n- Identify, evaluate, and prioritize high-value AI use cases\n- Understand the AI product lifecycle from idea to scale\n- Analyze organizational AI readiness across 6 dimensions\n- Shape leadership in the AI era and develop new team structures\n- Create and pitch an AI transformation strategy including a roadmap","essentials_plain":"No special technical knowledge is required. An openness to new technologies and the willingness to learn AI as a business skill are sufficient.","audience_plain":"Executives, product owners, change agents, and members of transformation teams who want to systematically drive AI value creation across the organization.","contents_plain":"Day 1: AI Fundamentals & Business Understanding\n\n\n- Welcome & Mindset Shift: Why AI literacy is the new core competency\n- Reverse Future Walk: How AI is changing work (without replacing people)\n- AI explained clearly: AI vs. ML vs. GenAI, LLMs, RAG, agents, digital twins\n- What AI can do \u2013 and what it cannot\n- Exercise: Why prompt engineering is crucial\n- AI in real business workflows: Use cases, ROI, AI vs. RPA\n- Responsible & secure AI: Data privacy, IP, hallucinations, bias, EU AI Act\n- Breakout: Where AI can support your own daily work\nDay 2: Personal AI Productivity\n\n\n- Practical AI for daily work: Emails, meetings, analyses, presentations\n- Role-based prompting patterns and thinking in \"AI Tasks\"\n- Breakout: Teams use AI to solve their own work challenges\n- Storytelling & communication with AI: Presentations, pitches, storylines\n- Building a personal AI productivity toolbox (prompt\/skill library, workflow setup)\nDay 3: From Ideas to Impactful AI Use Cases\n\n\n- AI use case strategy: What makes a good use case (value, feasibility, risk)\n- Use case checklist: Business value, data quality, regulation & ethics\n- AI product lifecycle: From idea \u2192 PoC \u2192 MVP \u2192 product \u2192 scaling\n- Methods deep dive: AI Innovation Sprint, AI Use Case Canvas\n- Breakout: Teams develop real AI use cases for their organization\nDay 4: Scale AI & organizational AI readiness\n\n\n- Organizational AI readiness: The 6 AI readiness dimensions, AI operating model\n- Defining roles, governance, and responsibilities\n- AI transformation: Good practices & lessons learned\n- Breakout: AI Readiness Quick Check + designing the transformation roadmap\n- Future of Work with AI: Modern leadership skills, new hybrid human-AI team structures\n- Final Capstone: Elevator pitch AI transformation strategy","version":"1.0","duration":{"unit":"d","value":4,"formatted":"4 jours"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":5950},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":5950},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":5950},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":5950},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":5950}}},"lastchanged":"2026-05-21T08:23:50+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course-schedule\/37203","source_lang":"fr","source":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course\/masterclass-ai4bas"}}