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Maschinelles Lernen

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Overview

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Learning outcomes

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Course content

1

Einführung In Maschinelles Lernen

2

Grundlagen Der Mustererkennung

3

Algorithmen Für Überwachtes Lernen

4

Unüberwachtes Lernen Und Clusteranalyse

5

Deep Learning Grundlagen

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I just completed the 'Maschinelles Lernen' course at Stanmore School of Business and I'm thoroughly impressed! The course content was incredibly comprehensive, covering everything from the basics of machine learning to advanced techniques like deep learning. The instructors were knowledgeable and provided excellent support throughout the course. I particularly appreciated the practical examples and case studies, which helped me understand how to apply machine learning concepts to real-world problems. The course materials were of high quality and relevance, and I feel confident that I can now implement machine learning solutions in my own projects. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in machine learning.

LH
Leila Hassan
EG · Course completed

I took the 'Maschinelles Lernen' course at Stanmore School of Business and found it to be a great introduction to machine learning. The course covered a wide range of topics, from supervised and unsupervised learning to neural networks and natural language processing. I appreciated the hands-on approach, with many exercises and quizzes to help reinforce the concepts. The course materials were well-organized and easy to follow, and the instructors were responsive to questions and feedback. One area for improvement could be more advanced topics, but overall I'm happy with what I learned and feel more confident in my ability to work with machine learning algorithms. Thanks to the course, I was able to develop a predictive model for a project at work, which was a great outcome.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Maschinelles Lernen' course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course completely exceeded my expectations. The instructors were passionate and knowledgeable, and the course content was incredibly engaging. I loved the mix of theoretical and practical lessons, which helped me understand the concepts and then apply them to real-world problems. The course materials were top-notch, with many examples and case studies to illustrate the concepts. I particularly appreciated the focus on practical skills, such as data preprocessing, model selection, and hyperparameter tuning. Thanks to the course, I was able to develop a machine learning model that improved the accuracy of our company's recommendation system by 25%!

RK
Rahul Kapoor
IN · Course completed

I recently completed the 'Maschinelles Lernen' course at Stanmore School of Business and had a great learning experience. The course was well-structured and easy to follow, with many visual aids and examples to help illustrate the concepts. I appreciated the emphasis on practical skills, such as data visualization and model evaluation, which are essential for working with machine learning algorithms. The instructors were supportive and provided helpful feedback on assignments and quizzes. One thing that could be improved is more discussion of ethics and bias in machine learning, but overall I'm happy with what I learned and feel more confident in my ability to work with machine learning algorithms. The course helped me develop a predictive model for a project at work, which was a great outcome.





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Recently updated!

May 2026