AI Manager:in
AI has the potential to fundamentally transform business operations. But where do you start and how do you proceed? In this Future Jobs Class, you will learn how to identify areas of action, plan AI initiatives, implement AI in your company, and manage AI projects. You will benefit from close support from experiencedexperts strategy, technology, and operationalization.
This master class offers you
Become a certified AI manager in 4 months
4 online courses with a learning time of 80 hours
Learn alongside your job in live webinars and self-study phases
Certificate & Open Badge upon completion
Your benefit
This master class will enable you to become the driving force behind the successful implementation of AI projects in your company.
- Mastering use cases: You identify and evaluate strategically relevant AI projects and ensure their success.
- Combining business and technology: You will become the central interface between specialist departments and IT.
- Managing transformation: You support change through AI and establish clear innovation processes.
- Know the compliance requirements for AI solutions: You have internalized the risk-based regulatory approach of the EU AI Act.
How to learn
Our learning concept combines various methods and offers you the ideal mix for learning, applying, and networking. With Future Jobs Classes, you can expand your skills for the working world of the future and learn in a flexible, practical way while continuing to work.
1. Live events & learning community
1. Live events & learning community
Whether online or on-site: you will meet your trainers the other participants in person during regular live sessions. You will gain new knowledge, receive answers to your questions, and get specific help to deepen what you have learned and apply it directly in practice. The live sessions take place during the week at working hours.
2. Self-study phases
2. Self-study phases
Learn independently, at your own pace and whenever you want. We provide you with high-quality materials – consisting of videos, texts, interactive exercises, practical tasks, and quizzes. You can plan your self-study phases flexibly.
3. Learning community
3. Learning community
You don't learn alone: the digital learning community is available to you throughout your learning journey. trainers with other participants and trainers , clarify questions, and discover new perspectives.
4. Practical coaching
4. Practical coaching
In the Master Class, you will have the opportunity to address your personal questions, challenges, and learning goals in a 1:1 practical coaching session—so that knowledge can be turned into real change. The practical coaching session will take place with the speaker of your choice and will be coordinated with them during the Master Class.
5. Examination
5. Examination
In the end, the focus is on practical application. With the final exam or project assignment, you demonstrate that you have understood and applied your knowledge and transferred it to your professional reality. After successfully passing the exam, you will receive a certificate and Open Badge confirming your achievements.
6. Future Jobs Club
6. Future Jobs Club
Become part of an exclusive community for future shapers. In the Future Jobs Club, you'll benefit from exciting ideas, events, experts, and practical insights into the working world of tomorrow. This will help you stay connected, inspired, and fit for the future.
7. E-learning library
7. E-learning library
Get access to an extensive digital learning library with up-to-date e-learning courses, videos, and learning prompts on topics related to future skills, AI, data analytics, new work, and change management. Ideal for deepening your knowledge on demand and staying on top of things.
Contents
Discover all the content of this training program: The Junior Class includes courses 1-2, the Professional Class includes courses 1-3, and the Master Class includes all courses, including the final exam and practical coaching.
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Overview
Module overview
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Certificate
Upon completion of the Master Class, you will receive a recognized certificate in cooperation with the University of Applied Sciences for Management (HdWM), Mannheim. This certifies the content and examination results. You will also receive a digital Open Badge. The Junior and Professional Classes conclude with a certificate of participation and an Open Badge.
Target groups
Artificial intelligence is the leading innovation topic and is highly relevant for organizations in all industries. With this continuing education program, you will qualify for a new field of expertise that will play an important role today and in the future.
This training course is suitable for:
- Contractors for the implementation of AI projects
- Project and product managers
- process managers
- Change & Innovation Managers
- Individuals with BI skills
- People from the IT sector
- People from corporate contexts
You've come to the right place if...
- you have fundamental project management skills
- you have a rough idea of processes and procedures
- you have initial experience in using AI tools (at your own workplace)
Certifications & Seals
This further training course was designed in cooperation with the Mannheim School of Management (HdWM) and meets the university's quality standards in terms of overall concept, content, trainers and examinations. As a result, participants benefit from high-quality qualifications with guaranteed topicality, high practical relevance and excellent trainers.
After completing the Future Jobs Classes, you will receive an Open Badge (a recognized digital certificate of participation). This verifiable proof is the current standard for inclusion in career networks such as LinkedIn. It allows you to digitally demonstrate the skills you have acquired.
Following a user survey, Statista named Haufe Akademie the winner Haufe Akademie the "Professional Development" category in its ranking of Germany's top continuing education providers for 2025.
The experts
Paul Christian Wallbott
Professor Janine Wendt
Dr. Sandra Romeis
Björn Rosenthal
Darav Taha
Meike Quentin
Christopher Kuhl
What participants say
Maria von Loh
"The AI Manager Master Class gave me exactly the strategic insights I was looking for. I was particularly impressed by how practically everything was taught - for example with a tool that we now actually use for our AI projects. The exchange with the trainers and other participants was just as valuable as the flexible design, which fitted perfectly into my everyday working life."
Frequently asked questions
How much time per week is required to complete the courses in the Master Class AI Manager?
How much time per week is required to complete the courses in the Master Class AI Manager?
The weekly time commitment for courses 1, 3, and 4 is approximately 3-4 hours for the self-study phases. In addition, there is the time for the live webinars. Course 2 requires a little more time. Here, you can plan on approximately 4-5 hours per week for the self-study units. Again, you must add the time for the live webinars.
Is the content of the individual courses in the Master Class AI Manager also available as a PDF download?
Is the content of the individual courses in the Master Class AI Manager also available as a PDF download?
Yes, you can download the PDF for the five individual courses of the Master Class right here:
- Course 1 (Artificial intelligence in business)
- Course 2 (Identify & realize AI projects economically)
- Course 3 (Machine Learning and Data Mining)
- Course 4 (Successfully operationalizing artificial intelligence in the company)
- Course 5 (AI Update: EU AI Act)
You can find all the key information about the entire Master Class in our Future Jobs Classes online brochure.
What prior knowledge do I need for the Future Jobs Class to become an AI manager?
What prior knowledge do I need for the Future Jobs Class to become an AI manager?
The Future Jobs Class AI Manager is suitable for newcomers and career changers, as well as for participants with prior knowledge. Numerous successful implementations have confirmed that interest and curiosity in the topic are the most important factors and that no further prior knowledge is required. The aim of the Master Class is to deepen AI knowledge, put it into practice, and implement AI initiatives in your own field.
How do I learn in a Future Jobs Class?
How do I learn in a Future Jobs Class?
In Future Jobs Classes, you learn independently and alongside your job using the blended learning concept. In live webinars, you can ask questions and trainers with trainers . The digital learning community allows you to interact with other participants and experts. In the self-study phases, you can acquire knowledge at your own pace. The courses offer videos, articles, interactive exercises, quizzes, and learning assessments. In the Master Class, you also benefit from individual practical coaching.
Are the courses fixed, or can I put them together myself?
Are the courses fixed, or can I put them together myself?
The Future Jobs Classes consist of predefined modules that build on each other. Together with subject matter experts , we subject matter experts developed learning journeys that will best help you achieve your goals. For optimal learning success, you should follow the sequence. You can book individual courses separately in Haufe Akademie or opt for the Junior, Professional, or Master Class at a discounted package price.
Is the order of the courses predetermined?
Is the order of the courses predetermined?
Each Future Jobs Class has a specific sequence of courses so that the content builds on each other in a meaningful way. We recommend following this sequence for better learning success. However, you also have the option of scheduling the courses in a sequence that suits you. To do this, select the appropriate start dates for each course during the booking process (step "Dates & Booking") or after booking in your learning environment.
Do I need any previous knowledge?
Do I need any previous knowledge?
For most Future Jobs Classes, you don't need any prior knowledge to participate. Each class starts with the basics and then quickly delves into the depths of the individual topics. It's important that you have a keen interest in the topic and are motivated to further your personal development. If certain prior knowledge is required, this will be clearly listed on the respective product page.
Can I upgrade, e.g. from the Junior to the Master Class?
Can I upgrade, e.g. from the Junior to the Master Class?
An upgrade is possible: You can book additional modules after completing an individual course or after the Junior or Professional Class. Courses you have already completed will be credited, so you only need to catch up on the missing content. Upgrading also extends the access time for the content. Access time to the content always refers to the individual courses, e.g., 12 months from the start of Course 1, 12 months from the start of Course 2, etc. Our advisory team will assist you with planning and registration. Please feel free to contact us directly at service@haufe-akademie.de.
Can I rebook individual webinar appointments?
Can I rebook individual webinar appointments?
If you miss a webinar, you cannot make it up in another session. Participation in the live sessions is not mandatory; you can review the content using the learning materials and Miro boards. You can ask your individual questions at any time via the learning community. If you rebook the entire course, the Terms and conditions apply.
Can I contribute my own data and use cases?
Can I contribute my own data and use cases?
Your own data and use cases are always welcome; Future Jobs Classes place great emphasis on practical relevance. You can apply what you have learned directly to your project and receive feedback from experts fellow learners. This allows you to achieve lasting learning success and benefit maximally from the Future Jobs Classes learning concept.
Personal consultation
Book your Future Jobs Class
To help you find the training program that suits you best, we offer the Future Jobs Class in three different formats. In addition to all courses, the Master Class includes personal practical coaching, a final exam, and a certificate.
Show pricing information and details
Show pricing information and details
Please note: We use third-party tools for selected events. Participants' personal data is passed on to these third parties for the purpose of providing the training program. For more information, please see ourprivacy policy. IfMirois used, you can voluntarily register with Miro for extended functionality and an optimal learning experience. Information on data processing can be found inMiro's privacy policy. If ChatGPT is used, please refer toOpenAI's privacy policy.
Downloads & White Papers
Whitepaper: 6 steps to AI maturity
The Haufe Akademie's AI maturity phase model helps companies and employees to determine their own position on the AI learning journey - and thus to set realistic goals, build up the necessary skills and roles, implement successful AI initiatives and derive measurable added value from them. Click here to download!
Testimonial: From playing with AI to practical strategy
In this testimonial, Maria von Loh explains how the Master Class AI Manager:in helped her to understand the strategic aspects of AI and to successfully implement AI projects.
AI Manager: tasks, training and salary
Artificial intelligence is one of the top challenges and opportunities for companies and organizations worldwide. AI influences all areas of companies, from collaboration and product development to process optimization. This makes the need for specialists who can plan, structure and promote the use of AI all the greater. You can take a closer look at the AI Manager job profile here.
Future Jobs brochure
The Future Jobs Classes prepare you comprehensively for the jobs of the future. Discover a compact overview of all Future Jobs in our brochure and find out more about the special learning concept.
About us - the Haufe Akademie
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Course
Courses
Current status of AI development and regulation
- Classification of the AI Act in an international context.
- Overview of the development of the AI Act.
Regulatory system of the AI Act
- What are the building blocks of European artificial intelligence regulation?
- What regulatory approach does the AI Act take?
- What additional regulations will accompany the AI Act?
- How should the EU Commission's guidelines and harmonized standards be classified?
Definition of the AI system
- What are the conceptual elements of an AI?
- What are the different AI categories?
Risk categories for AI systems
- What risk categories does the AI Act recognize?
- How are the categories differentiated from one another?
Compliance requirements for high-risk AI systems
- When is an AI system high-risk? Which exceptions apply?
- What compliance obligations must providers observe?
- What obligations apply to operators?
Special regulations for General Purpose AI (GPAI)
Sanctions and supervisory system
- Who monitors compliance with the AI Act?
- What are the penalties for violating compliance requirements?
- Can compensation also be claimed?
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- You can classify the regulatory objectives of the AI Act and are familiar with its regulatory technology.
- You know the four risk categories and can assign the systems used in the company accordingly.
- You know which compliance requirements need to be met for your specific context.
- You know which supervisory authority oversees your AI application.
- You are up to date regarding the assertion of claims for damages for defective AI.
The prerequisite for taking the exam is participation in the four courses of the Master Class. We recommend attending all courses within a maximum of two years and completing the exam close to the last course attended.
The content of all four Master Class courses is relevant for the exam.As soon as you have booked the exam, you will see it in your learning environment.There is a tile with more detailed information about the exam, as well as a small mini-preview of the format of the e-exam with various sample questions.
The exam takes place online. It can be completed from the comfort of your own home or office within a set time frame. It consists of two parts:
- E-exam: 20 multiple-choice questions on the content of the four Master Class courses.
- Practical exam: Development of your own AI use case for your own company based on the structure of the AI Project Canvas. Depending on the preliminary work in the four courses of the Master Class, approx. 3 - 4 hours should be planned.
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news and future work hacks.
Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
- You are aware that the phase before the actual implementation sets the course for project success, especially in cost-intensive AI projects. Careful use case selection is essential.
- You will learn the central role that data plays in finding AI use cases and that the chances of success in implementing the use case also depend on it.
- You have internalized that well-chosen AI project plans always have strategic relevance and thus create competitive advantages, as they start at the core.
- You analyze and evaluate AI project plans based on criteria and can thus also make their economic benefits measurable.
- You have an eye on resource efficiency and can make well-founded make or buy decisions, among other things.
- You have filled your toolbox to create acceptance and trust for the AI project among the relevant stakeholders right from the start, so that you can start implementation.
- You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
- Take an active part in our learning community and work with your own questions - this is how you will benefit most from this online training. This allows you to apply the content both in self-study and in practical exercises.
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news and future work hacks.
Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
You will learn what is important when implementing AI projects and how to successfully introduce AI in the company.
You will learn what is important when setting up AI teams, which roles are required and how to design the interfaces to the rest of the organization.
You will receive helpful tips for change management and which methods you can use to create acceptance for AI in the company.
You will receive important information for the planning and calculation of AI projects and learn how to measure the value contribution of AI.
You will gain an overview of infrastructures, frameworks and platforms - to help you make the right technical decisions.
You will gain insights into successful and failed AI projects and learn how to avoid stumbling blocks.
You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news and future work hacks.
Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
You will learn what artificial intelligence is, how it works and what you can use AI for.
You will learn about the importance of data for automation, analysis and the creation of models and what is important when it comes to data quality .
You can clean and prepare data to implement your own mining or machine learning projects.
You will get to know the technical processes in machine learning and will be able to communicate these clearly within the company.
You will gain your first practical experience of working on data and training sets and will be able to apply your knowledge immediately afterwards.
You are able to make informed decisions about the use of AI in your company and can communicate with technical departments on an equal footing.
You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:
Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.
Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material.
Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
Future Jobs Club: Get exclusive access to a business network, news and future work hacks.
Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate of attendance and an Open Badge, which you can easily share in professional networks (e.g. LinkedIn).
You will learn what artificial intelligence is, how AI works and what prerequisites AI requires.
You will learn how artificial intelligence can add value - for industries, companies and specialist areas.
With the AI periodic system, you will systematically learn about the components and mode of action of artificial intelligence.
You will be provided with tools and methods to determine the potential of AI for your company and identify specific use cases.
You will learn how to use artificial intelligence to increase productivity and automate processes in your company.
You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.
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