pds-futurejobs
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Machine Learning Engineer

Machine Learning Engineer

Master Class
Professional Class
Junior Class

The world is increasingly dominated by artificial intelligence, data and algorithms. Machine learning plays a central role in this. With this Future Jobs Class, you will become a specialist in the technical development of AI solutions.

Discover content

The Master Class offers you

  • 4 courses with a total learning period of approx. 3 months

  • A combination of live webinars, self-study phases and online seminars

  • Regular exchange with experienced trainers

  • Certification by the Mannheim School of Management (HdWM)

  • AI competence according to AI Regulation Art. 4

Machine Learning Engineer

Contents of the training

Whether artificial intelligence, data science or complex data analysis - machine learning is the technology behind it all. As a Machine Learning Engineer, you are an expert in the creation, training, evaluation and application of data models. This Future Jobs Class will give you the knowledge you need to master data, models and algorithms. Open up a field of expertise that will be one of the most important in our future working world.

Our flexibility guarantee

You can choose the start dates of the courses flexibly. We recommend taking the courses in the order listed. You can select the dates in your shopping cart or after booking. Rebookings are possible free of charge up to four weeks before the start of the event; after that, the fees apply according to Terms and conditions .

Please pay attention to the recommended order of the courses, as they build on each other in terms of content.

Course
1
Conclusion

Booking no:

36136

Machine learning and data mining: concepts, models, learning methods

Develop a deep technical understanding of the concepts behind artificial intelligence. In this course, you will learn how data mining, data models and algorithms really work and implement practical projects yourself. After participating, you will be able to understand machine learning processes in detail, make informed decisions and explore technical issues in depth.

4 weeks
approx. 20 hours
Online
German
Junior, Professional and Master Class
Dates & Details
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Date preview

Start date
Last module
Availability
Location
9.1.2025
6.2.2025
Fully booked
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
12.6.2025
10.7.2025
Fully booked
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
All dates & contents
Course
2
Conclusion

Booking no:

36445

Deep learning and neural networks with Python, Pandas, Keras and TensorFlow

Whether generative AI, computer vision or autonomous systems - deep learning is the key technology for complex AI tasks. In this training , you will immerse yourself in this complex topic and learn how to create and train powerful neural networks using practical tasks. At the same time, you will learn how to use Python, the most important programming language in machine learning.

3 days
approx. 24 hours
Online
German
Junior, Professional and Master Class
Dates & Details
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Date preview

Start date
Last module
Availability
Location
20.10.2025
22.10.2025
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
21.1.2026
23.1.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
15.4.2026
17.4.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
13.7.2026
15.7.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
All dates & contents
Course
3
Conclusion

Booking no:

36446

Natural language processing and large language models (LLM) with Python

GPT and other large language models demonstrate the potential of modern language processing. This course decodes the technologies behind them: Natural Language Processing (NLP) and transformer architectures form the basis for intelligent chatbots, machine translation and many other AI applications. You will learn how to develop powerful NLP models with Python and TensorFlow.

3 days
approx. 24 hours
Online
German
Professional and Master Class
Dates & Details
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Date preview

Start date
Last module
Availability
Location
17.11.2025
19.11.2025
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
18.2.2026
20.2.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
18.5.2026
20.5.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
12.8.2026
14.8.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
All dates & contents
Course
4
Conclusion

Booking no:

36447

MLOps in practice: Deployment and integration of machine learning models

Machine learning projects quickly become technically complex and require the right approach, governance and infrastructure to be sustainable, efficient and scalable. Using the recognized MLOps framework, this course provides a helpful guide with best practices, methods and tools to optimally manage and map the lifecycle of machine learning models. You will get to know all MLOps stages - from data versioning to monitoring - in detail.

2 days
approx. 16 hours
Online
German
Master Class
Dates & Details
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Date preview

Start date
Last module
Availability
Location
3.6.2025
4.6.2025
Few places available
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
15.12.2025
16.12.2025
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
19.3.2026
20.3.2026
Places free
Maximum planning security
Implementation already secured
Hook on!
Next booking secures the
implementation
Live-Online
All dates & contents
Course
Conclusion

Booking no:

40880

E-exam Master Class Machine Learning Engineer

The exam consists of two parts: The e-exam contains 20 questions in multiple-choice format. You can complete these conveniently on your own computer at a time of your choice. The second part consists of a practical project in which you implement a machine learning project from start to finish. After passing the exam, you will receive a certificate as a certified Machine Learning Engineer.

German
Project presentation
Multiple-choice test
Master Class
Dates & Details
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Start date
Last module
Availability
Location
No items found.
All dates & contents
Machine Learning Engineer

Book your Future Jobs Class

We offer the Future Jobs Class in three versions so that you can find the training that suits you best. In addition to the courses, the Master Class includes personal 1:1 coaching with the trainers, a final exam and certification as a Certified Machine Learning Engineer.

Booking no.: 36107

Junior Class

€ 2.890,-

plus VAT*
as package price
instead of € 3.130,- plus VAT for single booking
8 % savings
Course 1 and 2
Access to Future Jobs Club & Learning Community 1
Certificates of attendance for all courses
Open Badge Junior Class
Booking no.: 36106

Professional Class

€ 4.390,-

plus VAT*
as package price
instead of € 5.020,- plus VAT for single booking
13 % savings
All the advantages of Junior Class and
Course 1, 2 and 3
Access to extensive e-learning library 2
Open Badge Professional Class
24 % savings
Booking no.: 36105

Master Class

€ 5.290,-

plus VAT*
as package price
instead of € 7.000,- plus VAT for individual bookings
24 % savings
All the advantages of the Professional Class and
Course 1, 2, 3 and 4
Practical coaching with the trainers3
Final e-exam and transfer performance
Certificate as a certified machine learning engineer
Open Badge Master Class
Show notes & details on pricing

* All prices are exclusive of 19% VAT. Master Class: 6.295,10€ incl. VAT instead of 8.330,00€ incl. VAT, Professional Class: 5.224,10€ incl. VAT instead of 5.973,80€ incl. VAT, Junior Class: 3.439,10€ incl. VAT instead of 3.724,70€ incl. VAT.

‍1 Unlimited membership in the Future Jobs Club of the Haufe Akademie with exclusive information and offers. Participation takes place via Microsoft Teams and can be revoked at any time.

‍2 Unlimited access to selected e-learning courses from the Haufe Akademie Learning World program for a period of twelve months from booking the class.

‍3 Twice one hour of personal practical coaching with selected trainers from the Master Class. The coaching sessions take place online and can be booked from the start of the first course until three months after taking the exam.

Notes on data privacy

Please note: We use third-party tools for selected events. Participants' personal data will be passed on to them in order to carry out the training program. Further information can be found in our privacy policy. If Miro is used, you can voluntarily register with Miro for extended functionality and thus an optimal learning experience. You can find information on data processing in Miro's privacy policy. If ChatGPT is used, please refer to the OpenAI privacy policy.

Machine Learning Engineer

Compare Future Jobs Classes

Junior Class
Professional Class
Master Class
Courses
Course 1 and 2
Course 1, 2 and 3
Course 1, 2, 3 and 4
Learning time
44 hours
68 hours
84 hours

Access time to all learning content1

6 months
9 months
12 months

Language

German
German
German
Open Badge
Junior Class
Professional Class
Master Class
Savings compared to individual booking
8 %
13 %
24 %
Certificates of attendance for all courses
Access to Future Jobs Club & Learning Community
Access to an extensive e-learning library
Practical coaching with the trainers
Final e-exam and project presentation
Certificate as a certified machine learning engineer

1 Duration of access to all digital learning materials of a booked course, starting from the start date of the respective course.

Certified further training

Guaranteed topicality and quality

Certified by the HdWM, Mannheim

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 examination. As a result, participants benefit from high-quality qualifications with guaranteed topicality, high practical relevance and excellent trainers.

Why are Machine Learning Engineers important?

Artificial intelligence and data science have enormous potential for business and society. Both are only possible with machine learning, where large amounts of data and algorithms are used to generate data models. Machine learning engineers have the important task of building, optimizing, controlling and monitoring machine learning pipelines - and thus make a significant contribution to the success of the data and AI strategy.

The engine for artificial intelligence

Machine Learning Engineers are the central point of contact for all technical data and AI processes. They are specialists for data processing, algorithm selection, data model training and the quality of the results.

Competent point of contact for all AI topics

Preparing the training data and choosing the right learning methods are crucial to the success of AI solutions. Machine Learning Engineers combine the necessary mathematical and statistical skills with technical expertise and are the link between business understanding and data understanding with IT competence. This makes them important consultants and contact persons - not only for technical topics.

Development and operation of AI solutions

Generative AI, image recognition or data analysis - each use case requires different algorithms, learning methods and models. Machine learning engineers orchestrate the necessary technologies.

Development of scalable processes and infrastructures

Machine learning pipelines are computationally intensive. They need to be carefully monitored and managed to fulfill their function and stay within budget. Machine learning engineers have the necessary knowledge of tools, processes and infrastructures.

The trainers

The trainers have many years of experience in the fields of data science, machine learning and AI. They bring extensive knowledge from industry and consulting and combine a technical and business perspective.

Paul Christian Wallbott

Data scientist and machine learning expert

Larissa Mikolaschek

Head of Tech and Software Engineer with a focus on Machine Learning

Tim Sabsch

Senior Machine Learning Engineer

Who is the Machine Learning Engineer course suitable for?

Machine learning is the leading innovation topic and is highly relevant for organizations and companies from all industries. This Future Jobs Class opens up a new field of expertise that is of crucial importance today and in the future.

4 reasons for the Future Jobs Classes

With the Future Jobs Classes, you will qualify for the important job roles of the future. Ensure your professional and personal success - through flexible learning, a high proportion of practical experience, intensive exchange and a close connection to your company context.

Clear goal

Our Future Jobs Classes prepare you specifically for new job profiles. Broaden your career prospects and increase your attractiveness for the working world of tomorrow.

Varied learning journey

Live webinars, self-study modules, learning community, practical coaching - the perfect mix for learning, applying and networking. Become part of our community and experience the benefits of lifelong learning.

Flexible design

Whether Junior, Professional or certified Master Class - you choose the scope and pace of learning. In the self-study phases, you learn at your own pace, while the live webinars with experts reinforce what you have learned and offer plenty of room for your questions.

Practical business cases

In the digital learning community, you can exchange ideas with experts and fellow learners. Think outside the box and apply what you have learned directly in your organization. Work on specific business cases that have been developed in close collaboration with our experts .

Future Jobs Classes for companies

What is the best way for companies to prepare for the future? The Future Jobs Classes qualify teams, departments or entire organizations for the jobs and skills of the future. Find the right solution for your organization.

Company offers
FAQ

Frequently asked questions

What is a Future Jobs Class?

The Future Jobs Classes are targeted, modular training courses for future-relevant professional fields. The Junior Class gives you the knowledge and tools you need to get started. The Professional Class builds on this and delves deeper into important topics that will make your work easier. The Master Class offers a complete qualification with extended content, individual practical coaching and a recognized final exam. Our aim is to prepare you optimally for the jobs of the future through a combination of in-depth specialist knowledge and practice-oriented skills.

What qualification will I receive?

After completing the Master Class, you will receive a certificate confirming your courses and exam results. You will also receive an Open Badge that you can share on LinkedIn. The Junior and Professional Classes conclude with a certificate of attendance and an Open Badge. Find out more about the Open Badges here.

Are the courses in the Future Jobs Classes fixed or can I put them together as I wish?

The courses in the Future Jobs Classes build on each other and are therefore fixed. Together with subject matter experts , we have developed learning journeys that will best help you achieve your goals. Therefore, the courses cannot be put together individually. We recommend that you take the courses in the order given. Of course, you can also book all courses individually, but the discounted package price only applies to the Junior, Professional and Master Classes.

Can I also book the courses individually?

Yes, this is possible. However, we recommend booking the Junior, Professional or Master Class, as they offer a comprehensive and carefully put together combination of courses. This gives you a versatile approach, a solid foundation for your professional development and an advantageous discount on the package price (compared to the individual courses).

Can I upgrade, e.g. from the Junior to the Master Class?

Yes, it is possible to upgrade to a higher class at any time. Please contact us directly:

Can I also book the Future Jobs Classes as in-house training for my team or company?

Absolutely! We are happy to support you in booking classes and individual courses as customized in-house training for your company. We adapt the content and structure of the courses to the specific needs of your organization to ensure an optimal learning experience. Contact us and we will find the right solution:

Can I contribute my own data and use cases?

Naturally! We attach great importance to practical relevance in all classes. You can apply your new knowledge directly to your situation and your company context. In the live webinars, you are welcome to bring in your own cases and individual questions in order to benefit as much as possible from the learning concept of the Future Jobs Classes.

What happens if I don't manage to complete the self-study content in time?

If you do not complete the self-study content in the allotted time, this is not a problem. We recommend that you work on the content in good time so that you can discuss it with the trainers in the live webinars. If you can't make it, the content will be available to you for longer. The exact duration depends on the class you have booked. With the Master Class, for example, you have access to the content for 12 months.

Can I repeat the exam?

Yes, you can repeat the e-exam. The e-exam usually consists of two parts, an online knowledge test and a transfer paper. If you do not pass the knowledge test, you can retake it online a second time. If you fail the transfer paper, you will be given the opportunity to revise it and complete it successfully after receiving feedback.

Are there any funding options, such as education vouchers?

Funding through the education voucher from the employment agency is not possible. You can find an overview of the existing funding options here: