{"id":6719,"date":"2026-11-03T08:15:15","date_gmt":"2026-11-03T08:15:15","guid":{"rendered":"https:\/\/hahne.academy\/?page_id=6719"},"modified":"2026-11-09T20:32:27","modified_gmt":"2026-11-09T20:32:27","slug":"ai-trainings","status":"publish","type":"page","link":"https:\/\/hahne.academy\/en\/ai-trainings\/","title":{"rendered":"AI Training"},"content":{"rendered":"
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AI Training<\/span><\/h1>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

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AI for Data Professionals<\/h2>\n\n

Where Trusted Data Meets Responsible AI.<\/strong><\/p>\n\n

Artificial intelligence is changing the way companies use data, make decisions, and automate processes.<\/p>\n\n

AI for Data Professionals<\/strong> is a hands-on, three-day training program that integrates AI and agentic AI with the disciplines critical to their successful implementation in the enterprise: data management, governance, and architecture.<\/p>\n\n

Designed specifically for data professionals\u2014not for AI engineers.<\/p>\n\n

Trusted Data. Responsible AI. Practical Application.<\/strong><\/p>\n\n\n

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AI is changing more than just technology.<\/h2>\n\n

You don't have to become an AI engineer to succeed in a company that is increasingly driven by AI.<\/p>\n\n

But you should understand what AI is changing.<\/p>\n\n

How does data quality affect AI outcomes? What role do metadata, lineage, and context play? How do data governance and AI governance interact? And what happens when AI systems no longer just generate content and recommendations, but increasingly carry out actions on their own?<\/p>\n\n

These questions connect the worlds of Data Management and Artificial Intelligence<\/strong> more and more closely with one another.<\/p>\n\n

It is precisely this connection that is the focus of this training program.<\/p>\n\n\n

\n\n\n

From AI Fundamentals to Agentic AI<\/h2>\n\n

One program. Three days. A continuous learning journey.<\/strong><\/p>\n\n

The program covers everything from the essential fundamentals of AI and generative AI, through their connection to data management and governance, to the new world of agentic AI.<\/p>\n\n

First, we'll lay the necessary groundwork. Then we'll examine what changes when AI begins to act independently.<\/p>\n\n\n

DAYS 1\u20132<\/strong><\/p>\n\n

AI Fundamentals for Data Professionals<\/strong><\/p>\n\n

Laying the Foundation.<\/strong><\/p>\n\n

Understand the key principles behind artificial intelligence, machine learning, and generative AI\u2014without needing a background in data science or software development.<\/p>\n\n

You'll learn how AI relates to the data landscape you're already working in today, and why data quality, metadata, lineage, governance, and architecture are crucial for successful AI.<\/p>\n\n

Key Topics<\/strong><\/p>\n\n

\n\u2713 Fundamentals of AI & Machine Learning
\n\u2713 Generative AI & Large Language Models
\n\u2713 Retrieval-Augmented Generation (RAG)
\n\u2713 Data Quality, Metadata, and Lineage for AI
\n\u2713 Data Governance & AI Governance
\n\u2713 AI Risks, Ethics, and Responsible Use\n<\/p>\n\n\n

DAY 3<\/strong><\/p>\n\n

Agentic AI for Data Professionals<\/strong><\/p>\n\n

Understanding what changes when AI begins to act.<\/strong><\/p>\n\n

Agentic AI goes beyond systems that primarily generate content, perform analyses, or provide recommendations.<\/p>\n\n

AI agents can interpret goals, plan steps, use tools, interact with other systems, and increasingly carry out actions on their own. This opens up new possibilities\u2014but also creates new requirements for architecture, governance, and control.<\/p>\n\n

Key Topics<\/strong><\/p>\n\n

\n\u2713 From Generative AI to Agentic AI
\n\u2713 Goals, Planning, Tools & Memory
\n\u2713 Agentic Autonomy
\n\u2713 Single-agent and multi-agent approaches
\n\u2713 Agents, Data, and Enterprise Systems
\n\u2713 Governance, Oversight, and Accountability\n<\/p>\n\n\n

\n\n\n

Not another AI tools course.<\/h2>\n\n

Individual AI tools will change. Models will continue to evolve. And prompts that are relevant today may already be outdated tomorrow.<\/p>\n\n

That is why this training program takes a broader perspective.<\/p>\n\n

It connects AI with the organizational environment in which it must operate:<\/p>\n\n

DATA<\/strong>
\nIs the data understandable, reliable, and suitable for the intended purpose?<\/p>\n\n

GOVERNANCE<\/strong>
\nAre responsibilities, controls, and decision-making authority clearly defined?<\/p>\n\n

ARCHITECTURE<\/strong>
\nHow does AI interact with data, applications, and business processes?<\/p>\n\n

PEOPLE<\/strong>
\nWho evaluates and monitors the use of AI\u2014and who is responsible?<\/p>\n\n

The goal isn't simply to use AI. It's about understanding how data and AI need to work together.<\/p>\n\n\n

\n\n\n

Designed for data professionals.<\/h2>\n\n

This training program is specifically designed for:<\/p>\n\n

\nData Managers
\nData Governance Professionals
\nData Owners
\nData Stewards
\nData Architects
\nData Quality Professionals
\nMetadata & Master Data Professionals
\nData & Analytics Leads
\nBusiness Analysts
\nData Consultants
\nCDMP Professionals\n<\/p>\n\n

You don't have to be a data scientist, AI engineer, or software developer.<\/p>\n\n

What matters most is your interest in understanding what AI means for the data and areas of responsibility you\u2019re already working with today.<\/p>\n\n\n

\n\n\n

What do you take away from the training?<\/h2>\n\n

UNDERSTAND<\/strong>
\nDevelop a clear understanding of AI, generative AI, and agentic AI.<\/p>\n\n

CONNECT<\/strong>
\nDiscover how data quality, metadata, lineage, governance, and architecture influence AI.<\/p>\n\n

RATE<\/strong>
\nAssess the potential and limitations of AI beyond the current hype.<\/p>\n\n

SHAPING GOVERNANCE<\/strong>
\nUnderstand the key issues surrounding risk, accountability, transparency, and oversight.<\/p>\n\n

WORKING TOGETHER<\/strong>
\nCommunicate and work more confidently with AI specialists, architects, other departments, and management.<\/p>\n\n

APPLY<\/strong>
\nApply what you've learned to specific issues and next steps within your own organization.<\/p>\n\n\n

\n\n\n

Your Coach<\/h2>\n\n

Erik Fransen<\/strong><\/p>\n\n

\nDirector, Vista Veritas Data & AI Services
\nAmbassador & Guest Instructor \u2013 Connected Data Group & Connected Data Academy
\nBoard Member \u2013 DAMA Netherlands
\nEditorial Board Member \u2013 The Trusted Data & AI Journal\n<\/p>\n\n

Erik works at the intersection of data management, enterprise architecture, and artificial intelligence.<\/p>\n\n

As an experienced trainer and consultant, he bridges the gap between technological developments and the requirements for data, governance, architecture, and organizational capabilities necessary for successful practical application.<\/p>\n\n

Together with Dr. Michael Hahne, Erik is also one of the founders of *The Trusted Data & AI Journal*.<\/p>\n\n

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AI is changing more than just technology.<\/h2>\n\n

You don't have to become an AI engineer to succeed in a company that is increasingly driven by AI.<\/p>\n\n

But you should understand what AI is changing.<\/p>\n\n

How does data quality affect AI outcomes? What role do metadata, lineage, and context play? How do data governance and AI governance interact? And what happens when AI systems no longer just generate content and recommendations, but increasingly carry out actions on their own?<\/p>\n\n

These questions connect the worlds of Data Management and Artificial Intelligence<\/strong> more and more closely with one another.<\/p>\n\n

It is precisely this connection that is the focus of this training program.<\/p>\n\n\n

\n\n\n

From AI Fundamentals to Agentic AI<\/h2>\n\n

One program. Three days. A continuous learning journey.<\/strong><\/p>\n\n

The program covers everything from the essential fundamentals of AI and generative AI, through their connection to data management and governance, to the new world of agentic AI.<\/p>\n\n

First, we'll lay the necessary groundwork. Then we'll examine what changes when AI begins to act independently.<\/p>\n\n\n

DAYS 1\u20132<\/strong><\/p>\n\n

AI Fundamentals for Data Professionals<\/strong><\/p>\n\n

Laying the Foundation.<\/strong><\/p>\n\n

Understand the key principles behind artificial intelligence, machine learning, and generative AI\u2014without needing a background in data science or software development.<\/p>\n\n

You'll learn how AI relates to the data landscape you're already working in today, and why data quality, metadata, lineage, governance, and architecture are crucial for successful AI.<\/p>\n\n

Key Topics<\/strong><\/p>\n\n

\n\u2713 Fundamentals of AI & Machine Learning
\n\u2713 Generative AI & Large Language Models
\n\u2713 Retrieval-Augmented Generation (RAG)
\n\u2713 Data Quality, Metadata, and Lineage for AI
\n\u2713 Data Governance & AI Governance
\n\u2713 AI Risks, Ethics, and Responsible Use\n<\/p>\n\n\n

DAY 3<\/strong><\/p>\n\n

Agentic AI for Data Professionals<\/strong><\/p>\n\n

Understanding what changes when AI begins to act.<\/strong><\/p>\n\n

Agentic AI goes beyond systems that primarily generate content, perform analyses, or provide recommendations.<\/p>\n\n

AI agents can interpret goals, plan steps, use tools, interact with other systems, and increasingly carry out actions on their own. This opens up new possibilities\u2014but also creates new requirements for architecture, governance, and control.<\/p>\n\n

Key Topics<\/strong><\/p>\n\n

\n\u2713 From Generative AI to Agentic AI
\n\u2713 Goals, Planning, Tools & Memory
\n\u2713 Agentic Autonomy
\n\u2713 Single-agent and multi-agent approaches
\n\u2713 Agents, Data, and Enterprise Systems
\n\u2713 Governance, Oversight, and Accountability\n<\/p>\n\n\n

\n\n\n

Not another AI tools course.<\/h2>\n\n

Individual AI tools will change. Models will continue to evolve. And prompts that are relevant today may already be outdated tomorrow.<\/p>\n\n

That is why this training program takes a broader perspective.<\/p>\n\n

It connects AI with the organizational environment in which it must operate:<\/p>\n\n

DATA<\/strong>
\nIs the data understandable, reliable, and suitable for the intended purpose?<\/p>\n\n

GOVERNANCE<\/strong>
\nAre responsibilities, controls, and decision-making authority clearly defined?<\/p>\n\n

ARCHITECTURE<\/strong>
\nHow does AI interact with data, applications, and business processes?<\/p>\n\n

PEOPLE<\/strong>
\nWho evaluates and monitors the use of AI\u2014and who is responsible?<\/p>\n\n

The goal isn't simply to use AI. It's about understanding how data and AI need to work together.<\/p>\n\n\n

\n\n\n

Designed for data professionals.<\/h2>\n\n

This training program is specifically designed for:<\/p>\n\n

\nData Managers
\nData Governance Professionals
\nData Owners
\nData Stewards
\nData Architects
\nData Quality Professionals
\nMetadata & Master Data Professionals
\nData & Analytics Leads
\nBusiness Analysts
\nData Consultants
\nCDMP Professionals\n<\/p>\n\n

You don't have to be a data scientist, AI engineer, or software developer.<\/p>\n\n

What matters most is your interest in understanding what AI means for the data and areas of responsibility you\u2019re already working with today.<\/p>\n\n\n

\n\n\n

What do you take away from the training?<\/h2>\n\n

UNDERSTAND<\/strong>
\nDevelop a clear understanding of AI, generative AI, and agentic AI.<\/p>\n\n

CONNECT<\/strong>
\nDiscover how data quality, metadata, lineage, governance, and architecture influence AI.<\/p>\n\n

RATE<\/strong>
\nAssess the potential and limitations of AI beyond the current hype.<\/p>\n\n

SHAPING GOVERNANCE<\/strong>
\nUnderstand the key issues surrounding risk, accountability, transparency, and oversight.<\/p>\n\n

WORKING TOGETHER<\/strong>
\nCommunicate and work more confidently with AI specialists, architects, other departments, and management.<\/p>\n\n

APPLY<\/strong>
\nApply what you've learned to specific issues and next steps within your own organization.<\/p>\n\n\n

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Your Coach<\/h2>\n\n

Erik Fransen<\/strong><\/p>\n\n

\nDirector, Vista Veritas Data & AI Services
\nAmbassador & Guest Instructor \u2013 Connected Data Group & Connected Data Academy
\nBoard Member \u2013 DAMA Netherlands
\nEditorial Board Member \u2013 The Trusted Data & AI Journal\n<\/p>\n\n

Erik works at the intersection of data management, enterprise architecture, and artificial intelligence.<\/p>\n\n

As an experienced trainer and consultant, he bridges the gap between technological developments and the requirements for data, governance, architecture, and organizational capabilities necessary for successful practical application.<\/p>\n\n

Together with Dr. Michael Hahne, Erik is also one of the founders of *The Trusted Data & AI Journal*.<\/p>\n\n

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Trusted Data \u00d7 Responsible AI<\/h2>\n\n

The connection between data and AI extends beyond this training program.<\/p>\n\n

Hahne Academy and The Trusted Data & AI Journal share a common perspective: The more AI is integrated into companies and their processes, the more important professional data management, responsible governance, and sound professional practice become.<\/p>\n\n

The journal, launched by Dr. Michael Hahne and Erik Fransen, explores this intersection through independent perspectives from experts in data, AI, governance, and architecture.<\/p>\n\n

\"AI for Data Professionals\" brings this perspective into the classroom.<\/strong><\/p>\n\n

\n\nDiscover *The Trusted Data & AI Journal*\n<\/a>\n<\/p>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Next Seminar<\/h2>\n\n

AI for Data Professionals<\/strong><\/p>\n\n

December 7\u20139, 2026 | Hamburg<\/strong><\/p>\n\n

3-day in-person training \u00b7 Training language: English<\/p>\n\n

\nRegistration fee: starting at \u20ac2,895 plus VAT.<\/strong>
\nFor the entire 3-day training session\n<\/p>\n\n

\nDays 1\u20132<\/strong>
\nAI Fundamentals for Data Professionals\n<\/p>\n\n

\nDay 3<\/strong>
\nAgentic AI for Data Professionals\n<\/p>\n\n

Coach: Erik Fransen<\/strong><\/p>\n\n

From the basics of AI to agentic AI\u2014specifically for data professionals.<\/p>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t    Further information     <\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTo the registration<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\nAdditional dates for 2027 will be posted here shortly.\n<\/b>\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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AI-Trainings AI for Data Professionals Wo Trusted Data auf Responsible AI trifft. K\u00fcnstliche Intelligenz ver\u00e4ndert, wie Unternehmen Daten nutzen, Entscheidungen treffen und Prozesse automatisieren. AI for Data Professionals ist ein praxisorientiertes dreit\u00e4giges Trainingsprogramm, das AI und Agentic AI mit den Disziplinen verbindet, die f\u00fcr ihren erfolgreichen Einsatz im Unternehmen entscheidend sind: Data Management, Governance und Architektur. Entwickelt speziell f\u00fcr Data Professionals \u2013 nicht f\u00fcr AI Engineers. Trusted Data. Responsible AI. Practical Application. AI ver\u00e4ndert mehr als nur Technologie. Sie m\u00fcssen kein AI Engineer werden, um in einem zunehmend AI-gepr\u00e4gten Unternehmen erfolgreich zu arbeiten. Aber Sie sollten verstehen, was AI ver\u00e4ndert. Wie beeinflusst Data Quality die Ergebnisse von AI? Welche Rolle spielen Metadata, Lineage und Kontext? Wie greifen Data Governance und AI Governance ineinander? Und was geschieht, wenn AI-Systeme nicht mehr nur Inhalte und Empfehlungen erzeugen, sondern zunehmend selbstst\u00e4ndig Aktionen ausf\u00fchren? Diese Fragen verbinden die Welten von Data Management und Artificial Intelligence immer st\u00e4rker miteinander. Genau diese Verbindung steht im Mittelpunkt dieses Trainingsprogramms. Von AI Fundamentals zu Agentic AI Ein Programm. Drei Tage. Eine durchg\u00e4ngige Learning Journey. Das Programm f\u00fchrt von den wesentlichen Grundlagen von AI und Generative AI \u00fcber deren Verbindung mit Data Management und Governance bis hin zur neuen Welt von Agentic AI. Zun\u00e4chst schaffen wir das notwendige Fundament. Anschlie\u00dfend betrachten wir, was sich ver\u00e4ndert, wenn AI beginnt, selbstst\u00e4ndig zu handeln. TAG 1\u20132 AI Fundamentals for Data Professionals Das Fundament schaffen. Verstehen Sie die wesentlichen Prinzipien hinter Artificial Intelligence, Machine Learning und Generative AI \u2013 ohne dass daf\u00fcr ein Hintergrund in Data Science oder Softwareentwicklung erforderlich ist. Sie erfahren, wie AI mit der Datenlandschaft zusammenh\u00e4ngt, in der Sie bereits heute arbeiten, und warum Data Quality, Metadata, Lineage, Governance und Architektur f\u00fcr erfolgreiche AI entscheidend sind. Zentrale Themen \u2713 Grundlagen von AI & Machine Learning \u2713 Generative AI & Large Language Models \u2713 Retrieval-Augmented Generation (RAG) \u2713 Data Quality, Metadata & Lineage f\u00fcr AI \u2713 Data Governance & AI Governance \u2713 AI-Risiken, Ethik & verantwortungsvoller Einsatz TAG 3 Agentic AI for Data Professionals Verstehen, was sich ver\u00e4ndert, wenn AI beginnt zu handeln. Agentic AI geht \u00fcber Systeme hinaus, die in erster Linie Inhalte generieren, Analysen durchf\u00fchren oder Empfehlungen geben. AI Agents k\u00f6nnen Ziele interpretieren, Schritte planen, Tools nutzen, mit anderen Systemen interagieren und zunehmend eigenst\u00e4ndig Aktionen ausf\u00fchren. Dadurch entstehen neue M\u00f6glichkeiten \u2013 aber auch neue Anforderungen an Architektur, Governance und Kontrolle. Zentrale Themen \u2713 Von Generative AI zu Agentic AI \u2713 Ziele, Planung, Tools & Memory \u2713 Agentic Autonomy \u2713 Single- und Multi-Agent-Ans\u00e4tze \u2713 Agents, Daten & Enterprise-Systeme \u2713 Governance, Oversight & Accountability Nicht noch ein AI-Tools-Kurs. Einzelne AI-Tools werden sich ver\u00e4ndern. Modelle werden sich weiterentwickeln. Und Prompts, die heute relevant sind, k\u00f6nnen morgen bereits \u00fcberholt sein. Deshalb verfolgt dieses Trainingsprogramm eine breitere Perspektive. Es verbindet AI mit dem organisatorischen Umfeld, in dem sie funktionieren muss: DATA Sind die Daten verstanden, verl\u00e4sslich und f\u00fcr den jeweiligen Zweck geeignet? GOVERNANCE Sind Verantwortlichkeiten, Kontrollen und Entscheidungsbefugnisse klar definiert? ARCHITEKTUR Wie interagiert AI mit Daten, Anwendungen und Gesch\u00e4ftsprozessen? MENSCHEN Wer bewertet und \u00fcberwacht den Einsatz von AI \u2013 und wer tr\u00e4gt Verantwortung? Das Ziel besteht nicht einfach darin, AI zu nutzen. Es geht darum zu verstehen, wie Data und AI zusammenwirken m\u00fcssen. Entwickelt f\u00fcr Data Professionals. Dieses Trainingsprogramm richtet sich insbesondere an: Data Managers Data Governance Professionals Data Owners Data Stewards Data Architects Data Quality Professionals Metadata & Master Data Professionals Data & Analytics Leads Business Analysts Data Consultants CDMP Professionals Sie m\u00fcssen kein Data Scientist, AI Engineer oder Softwareentwickler sein. Entscheidend ist Ihr Interesse daran zu verstehen, was AI f\u00fcr die Daten und Verantwortungsbereiche bedeutet, mit denen Sie bereits heute arbeiten. Was nehmen Sie aus dem Training mit? VERSTEHEN Entwickeln Sie ein klares Verst\u00e4ndnis von AI, Generative AI und Agentic AI. VERBINDEN Erkennen Sie, wie Data Quality, Metadata, Lineage, Governance und Architektur AI beeinflussen. BEWERTEN Beurteilen Sie AI-Potenziale und Grenzen jenseits des aktuellen Hypes. GOVERNANCE GESTALTEN Verstehen Sie die zentralen Fragen rund um Risiken, Verantwortung, Transparenz und Oversight. ZUSAMMENARBEITEN Kommunizieren und arbeiten Sie souver\u00e4ner mit AI-Spezialisten, Architekten, Fachbereichen und Management. ANWENDEN \u00dcbertragen Sie das Gelernte auf konkrete Fragestellungen und n\u00e4chste Schritte in Ihrer eigenen Organisation. Ihr Trainer Erik Fransen Director, Vista Veritas Data & AI Services Ambassador & Guest Instructor \u2013 Connected Data Group & Connected Data Academy Board Member \u2013 DAMA Netherlands Editorial Board Member \u2013 The Trusted Data & AI Journal Erik arbeitet an der Schnittstelle von Data Management, Enterprise Architecture und Artificial Intelligence. Als erfahrener Trainer und Consultant verbindet er technologische Entwicklungen mit den Anforderungen an Daten, Governance, Architektur und organisatorische F\u00e4higkeiten, die f\u00fcr eine erfolgreiche Anwendung in der Praxis notwendig sind. Gemeinsam mit Dr. Michael Hahne geh\u00f6rt Erik zudem zu den Initiatoren des The Trusted Data & AI Journal. AI ver\u00e4ndert mehr als nur Technologie. Sie m\u00fcssen kein AI Engineer werden, um in einem zunehmend AI-gepr\u00e4gten Unternehmen erfolgreich zu arbeiten. Aber Sie sollten verstehen, was AI ver\u00e4ndert. Wie beeinflusst Data Quality die Ergebnisse von AI? Welche Rolle spielen Metadata, Lineage und Kontext? Wie greifen Data Governance und AI Governance ineinander? Und was geschieht, wenn AI-Systeme nicht mehr nur Inhalte und Empfehlungen erzeugen, sondern zunehmend selbstst\u00e4ndig Aktionen ausf\u00fchren? Diese Fragen verbinden die Welten von Data Management und Artificial Intelligence immer st\u00e4rker miteinander. Genau diese Verbindung steht im Mittelpunkt dieses Trainingsprogramms. Von AI Fundamentals zu Agentic AI Ein Programm. Drei Tage. Eine durchg\u00e4ngige Learning Journey. Das Programm f\u00fchrt von den wesentlichen Grundlagen von AI und Generative AI \u00fcber deren Verbindung mit Data Management und Governance bis hin zur neuen Welt von Agentic AI. Zun\u00e4chst schaffen wir das notwendige Fundament. Anschlie\u00dfend betrachten wir, was sich ver\u00e4ndert, wenn AI beginnt, selbstst\u00e4ndig zu handeln. TAG 1\u20132 AI Fundamentals for Data Professionals Das Fundament schaffen. Verstehen Sie die wesentlichen Prinzipien hinter Artificial Intelligence, Machine Learning und Generative AI \u2013 ohne dass daf\u00fcr ein Hintergrund in Data Science oder Softwareentwicklung erforderlich ist. Sie erfahren, wie AI mit der Datenlandschaft zusammenh\u00e4ngt, in der Sie bereits heute arbeiten, und warum Data Quality, Metadata, Lineage, Governance und Architektur f\u00fcr erfolgreiche AI entscheidend sind. Zentrale Themen \u2713 Grundlagen<\/p>","protected":false},"author":8926,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-6719","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nAI for Data Professionals Training | Hahne Academy<\/title>\n<meta name=\"description\" content=\"Practical AI training for Data Professionals. 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