Blended learning

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

The basic technical course for your own AI and data projects

This blended learning is held in German.
Anyone pursuing concrete plans with artificial intelligence should have a sound technical understanding of AI. Because only with sufficient knowledge can you create relevant use cases, plan projects, make the right technology decisions, calculate resources and manage expectations. In this course, you will learn everything you need to do this. You will look under the hood of artificial intelligence and see in detail how machine learning and data models work. You will not only get to grips with the basics. Right from the start, you will also gain your own practical experience using the data and training sets provided - without having to have any programming knowledge. The course consists of didactically high-quality self-study modules and live webinars. It is designed so that you can learn flexibly over a period of four weeks - ideal if you want to continue your education while working.

Did you know?

This course is part of the certified Master Class "KI Manager:in" and the Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 20% compared to booking the individual modules.

Module 1: Webinar
120 min.
Kick-off, introduction and introduction to KNIME
Kick-off, introduction and introduction to KNIME

After the introduction and an introduction to the learning environment, we get straight into the topic: Your:e trainer will go through a first complete pipeline with you, from data preparation to training the data model. 

Module 2: Self-study phase
120 minutes
Basics: machine learning and data mining
Basics: machine learning and data mining
  • Basics of data mining and machine learning
  • Important learning procedures explained in detail
  • Implementing data projects with CRISP-DM
  • Business Understanding: What does data say?
Module 3: Self-study phase
240 minutes
Data Understanding and Data Preparation
Data Understanding and Data Preparation
  • All about data types and data sources
  • Understanding data: What information does data contain?
  • First practical examples with exercises in KNIME
  • Data preparation for data projects
Module 4: Webinar
180 min.
Discussion of the practical tasks
Discussion of the practical tasks

After reflecting together on the content from the first self-study phases, your:e trainer will introduce you to practical work with the most important data tools. This will give you the knowledge you need to complete your own projects.

Module 5: Self-study phase
300 min.
Modeling and evaluation
Modeling and evaluation
  • Clustering with algorithms
  • Regression models
  • Classification models
  • The most important metrics
  • Practical examples in KNIME
Module 6: Self-study phase
60 min.
Basics of neural networks
Basics of neural networks
  • How neural networks work
  • Overview of the architectures
  • Bringing machine learning into production - an outlook
Module 7: Webinar
180 min.
Application of machine learning in projects
Application of machine learning in projects

Once all the questions from the self-study units have been answered, the participants' practical exercise projects are evaluated. Your:e trainer will then give you an outlook on the deployment of machine learning models. 

Contents and course schedule

Further training in accordance with AI Regulation Art. 4 for the obligation to provide evidence of AI competence

1. machine learning and data mining

  • Basics of data mining and machine learning
  • Important learning procedures explained in detail
  • Implementing data projects with CRISP-DM
  • Business Understanding: What does data say?

2. data understanding and data preparation

  • All about data types and data sources
  • Understanding data: What information does data contain?
  • First practical examples with exercises in KNIME
  • Data preparation for data projects

3. modeling and evaluation

  • Clustering with algorithms
  • Regression models
  • Classification models
  • The most important metrics
  • Practical examples in KNIME

4. an outlook on deep learning in neural networks

  • How neural networks work
  • Overview of the architectures
  • Bringing machine learning into production - an outlook
  • Excursus: Deep learning as a sub-area of machine learning

This is how you learn in this course

This online course offers you a digital blended concept that has been developed for part-time learning. With a time budget of at least 3-4 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in the course:

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material with videos, articles, interactive exercises, quizzes and learning checks.

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.

Practical tasks: In order to learn the skills in practice, you will be given access to training sets that you can work on yourself using Python or the open software KNIME. You will clean up data, train your own models and get to know important tools. No prior knowledge is required.

Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and clarify your questions.

Future Jobs Club: Get exclusive access to a business network, micro-learningssparks), news and future work hacks.

Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate and an Open Badge that you can easily share in professional networks (e.g. LinkedIn).  

Your benefit

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.

Methods

Well-founded trainer, presentations, practical exercises, self-reflection, discussions, work aids, group work on participants' real projects and exchange of experience in the learning community.

The following third-party tool can be used in the event:
  • KNIME

Recommended for

This course is aimed at anyone who wants to know exactly what AI is all about. We recommend this course to decision makers in companies as well as product managers, product owners and process managers who want to automate processes with AI. The course is also an ideal introduction to data mining and AI for technical managers and specialists.

Overall, the course is the ideal introduction to AI and machine learning. It is equally suitable for newcomers and career changers as well as for people with prior knowledge who want to deepen their AI knowledge and put it into practice.

Open Badges - Show what you can do digitally too.

Open Badges are recognized, digital certificates of participation. These verifiable credentials are the current standard for integration in career networks such as LinkedIn.

With them, you digitally demonstrate the competences you possess. After successful completion, you will receive an Open Badge from us.

Read more

Attendees comments

"Despite the complexity of the subject, everything was explained in an understandable and practical way. The lessons and topics were structured and the documents for self-study were great. The practical work was fun and the lecturer was very competent!"

Lurata Reci
COP Lurata Reci

"The topic is challenging and complex. I was amazed at how the trainer managed to convey the content so clearly and methodically. Really great!"

Ralf Tilleke
Vincentz Network

Seminar evaluation for "Machine learning and data mining: concepts, models, learning methods"

4.6 from 5
with 55 ratings
training content:
4.7
Content comprehensibility:
4.6
Practical relevance:
3.8
Trainer expertise:
5
Participant orientation:
4.9
Method variety:
4.7
View into the product

Here you can get impressions of the training as well as information about the training topic.

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Articles, interviews or whitepapers on the topic

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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 specialized professionals who can plan, structure and promote the use of AI all the greater. Here you can download the AI job profile [...]

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Joint online training
Booking number
36136
€ 1.240,- plus VAT
20 hours practice ...
Online
16 Events
German
Events
Train several employees internally
Pricing upon request
  • Customized training courses according to your needs
  • Directly at your premises or online
  • Cost advantage from 5 participants
  • We contact you within 24 hours (Mon-Fri)
20 hours over four weeks
In-person or Online

Future Jobs Classes

Get ready for your job of the future and become an AI Manager.

Future Jobs Classes

Get ready for your job of the future and become a machine learning engineer.

Start dates and details

  Select time period
0 events
12.06.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
12.06.2025
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
26.06.2025
Course
zoom
Schedule
Start 12:30 pm, end approx. 3:30 pm
Webinar
Application of machine learning in projects
Date
10.07.2025
Course
zoom
Schedule
Start 12:30 pm, end approx. 3:30 pm
12.06.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
12.06.2025
Course
zoom
Schedule
Start 13:00, end approx. 15:00
Webinar
Discussion of the practical tasks
Date
26.06.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
10.07.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
03.07.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
03.07.2025
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
17.07.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
31.07.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
07.08.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
07.08.2025
Course
zoom
Schedule
Start 11:30 am, end approx. 1:30 pm
Webinar
Discussion of the practical tasks
Date
21.08.2025
Course
zoom
Schedule
Start 12:30 pm, end approx. 3:30 pm
Webinar
Application of machine learning in projects
Date
05.09.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
07.08.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
07.08.2025
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
21.08.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
04.09.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
04.09.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
04.09.2025
Course
zoom
Schedule
Start 15:30, end approx. 17:30
Webinar
Discussion of the practical tasks
Date
18.09.2025
Course
zoom
Schedule
Start 12:30 pm, end approx. 3:30 pm
Webinar
Application of machine learning in projects
Date
02.10.2025
Course
zoom
Schedule
Start 12:30 pm, end approx. 3:30 pm
04.09.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
04.09.2025
Course
zoom
Schedule
Start 13:00, end approx. 15:00
Webinar
Discussion of the practical tasks
Date
18.09.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
02.10.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
18.09.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
18.09.2025
Course
zoom
Schedule
Start 16:00, end approx. 18:00
Webinar
Discussion of the practical tasks
Date
02.10.2025
Course
zoom
Schedule
Start 16:00, end approx. 19:00
Webinar
Application of machine learning in projects
Date
23.10.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
30.10.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
30.10.2025
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
13.11.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
27.11.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
20.11.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
20.11.2025
Course
zoom
Schedule
Start 11:30 am, end approx. 1:30 pm
Webinar
Discussion of the practical tasks
Date
04.12.2025
Course
zoom
Schedule
Start 13:00, end approx. 16:00
Webinar
Application of machine learning in projects
Date
18.12.2025
Course
zoom
Schedule
Start 13:00, end approx. 16:00
20.11.2025
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
20.11.2025
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
04.12.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
18.12.2025
Course
zoom
Schedule
Start 09:00, end approx. 12:00
15.01.2026
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
15.01.2026
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
29.01.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
12.02.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
15.01.2026
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
15.01.2026
Course
zoom
Schedule
Start 11:30 am, end approx. 1:30 pm
Webinar
Discussion of the practical tasks
Date
29.01.2026
Course
zoom
Schedule
Start 13:00, end approx. 16:00
Webinar
Application of machine learning in projects
Date
12.02.2026
Course
zoom
Schedule
Start 13:00, end approx. 16:00
19.02.2026
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
19.02.2026
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
05.03.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
19.03.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
12.03.2026
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
12.03.2026
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
26.03.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
09.04.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
02.04.2026
Live online
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Course
zoom
zoom
Technical notes
We use various software to conduct our online events.
Modules
20 hours over four weeks
Limited number of participants
Webinar
Kick-off, introduction and introduction to KNIME
Date
02.04.2026
Course
zoom
Schedule
Start 09:00 am, end approx. 11:00 am
Webinar
Discussion of the practical tasks
Date
16.04.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Webinar
Application of machine learning in projects
Date
30.04.2026
Course
zoom
Schedule
Start 09:00, end approx. 12:00
Sufficient places are still free.
Don't wait too long to book.
Fully booked.
Training is guaranteed to take place
The next booking ensures this course will take place
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Details
20 hours over four weeks
Limited number of participants
Booking number: 36136
€ 1.240,- plus VAT.
€ 1,475.60 incl. VAT.
Details
20 hours over four weeks
Limited number of participants
Book later
You are welcome to make a non-binding advance reservation.
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You are welcome to be notified by e-mail as soon as new dates are released.
Also bookable as in-house training
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Please note: We use third-party tools for selected events. Personal data of the participant will be passed on to them for the implementation of the training offer. You can find more information in our privacy policy.

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