Seminarinhalt
In diesem Training finden Führungskräfte das Wissen und die Ressourcen, um KI in ihren Organisationen zu übernehmen. Es untersucht die Planung, Strategierung und Skalierung von KI-Projekten auf verantwortungsvolle Weise. Dieser Kurs hilft Fachleuten bei der Einführung von Microsoft AI-Lösungen für ihre Branchen und identifiziert KI-Anwendungsfälle, Tools und Erkenntnisse aus branchenspezifischen KI-Erfolgsgeschichten wie Gesundheitswesen, Finanzen, Nachhaltigkeit, Einzelhandel und Fertigung.
Programm
Discover Microsoft AI for leaders in healthcare
Leverage AI tools and resources for your business
Leverage AI tools and resources for your business
Embrace responsible AI principles and practices
Leverage AI tools and resources for your business
Embrace responsible AI principles and practices
Leverage AI tools and resources for your business
Leverage AI tools and resources for your business
Leverage AI tools and resources for your business
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
Embrace responsible AI principles and practices
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- AI in financial services
- Goals and challenges in financial services
- Opportunities for AI in financial services organizations
- Discover how Microsoft AI secures transactions in banking – A Swift success story
- Discover the potential of Microsoft AI Services in insurance – A Manulife success story
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
Embrace responsible AI principles and practices
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- AI and sustainability
- Goals and challenges in sustainability
- Opportunities for AI in sustainability
- Discover how Microsoft AI powers the global energy transition – An EDP success story
- Discover how Microsoft AI protects natural resources – A Department of Natural Resources success story
- Discover how Microsoft AI enables green mobility – A Stadtwerke München success story
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- AI in retail
- Goals and challenges in retail
- Opportunities for AI in retail
- Discover how Microsoft AI improves shopping experiences
- Discover the potential of Azure OpenAI Service in car selling – A CarMax success story
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- AI and manufacturing
- Goals and challenges in manufacturing
- Opportunities for AI in manufacturing
- Microsoft AI technology for manufacturing use cases
- Discover how Azure AI Services cuts development time – A Siemens success story
Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- AI and nonprofit organizations
- Explore how AI helps nonprofits achieve mission impact
- Explore opportunities for AI in nonprofit
- Discover how Microsoft AI enables evidence-based public policy and data-backed best practices – An RTI International success story
- Discover how Microsoft AI enables predicting and preventing malnutrition - an Amref Health Africa success story
- Discover how Microsoft AI transforms lives through access to essential surgery – An Operation Smile success story
Zielgruppen
Microsoft AI for Business Leaders wurde entwickelt, um Führungskräften dabei zu helfen, das Wissen und die Ressourcen zu finden, um KI in ihren Organisationen zu übernehmen. In diesem Training werden Ki-Projekte auf verantwortungsvolle Weise geplant, strategiert und skaliert, wobei sie sich auf Anwendungsfälle, Tools und Erkenntnisse aus branchenspezifischen KI-Erfolgsgeschichten wie Gesundheitswesen, Finanzen, Nachhaltigkeit, Einzelhandel und Produktion konzentrieren. Dieses Training wurde so entwickelt, dass Kursleiter auswählen können, welche bestimmte Branche oder Branchen sie als Teil des endgültigen Abschnitts einbeziehen möchten, wobei jede Lieferung für das jeweilige Publikum zusammengestellt wird.
Vorkenntnisse
- Erfahrung mit der Verwendung des Azure-Portals zum Erstellen von Ressourcen
- Grundkenntnisse zu Sicherheitskonzepten wie Identitäten, Berechtigungen und Verschlüsselung
- Grundlegende Kenntnisse von Netzwerkkonzepten wie virtuellen Netzwerken, Subnetzen und Hybridszenarien
- Grundlegende Kenntnisse von Azure Policy- und Azure Arc-Konzepten
