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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

Überwachtes Lernen

4

Unüberwachtes Lernen

5

Tiefes Lernen

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
Open enrolment · Start today

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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'm absolutely thrilled with the 'Maschinelles Lernen' course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill in machine learning, and this course exceeded my expectations. The course material was comprehensive, covering everything from supervised and unsupervised learning to deep learning. I particularly appreciated the hands-on projects, which helped me apply theoretical concepts to real-world problems. For instance, I worked on a project that involved building a predictive model using scikit-learn, which I was able to implement in my current role. The instructor's feedback was invaluable, and the online community was super supportive. I'd highly recommend this course to anyone looking to gain practical machine learning skills.

KN
Kaito Nakamura
JP · Course completed

I recently completed the 'Maschinelles Lernen' course at Stanmore School of Business, and I must say it was a great learning experience. The course content was well-structured, and the instructors did a good job of explaining complex concepts in a simple manner. I appreciated the focus on practical applications, such as image classification and natural language processing. One of the projects involved building a chatbot using TensorFlow, which was a fun and challenging exercise. The course materials were of high quality, and the discussion forums were active and helpful. My only suggestion would be to include more advanced topics, such as transfer learning and attention mechanisms. Overall, I'm satisfied with the course and would recommend it to those looking to gain a solid foundation in machine learning.

LH
Leila Hassan
EG · Course completed

Wow, just wow! The 'Maschinelles Lernen' course at Stanmore School of Business has been a game-changer for me! As a beginner in machine learning, I was a bit intimidated at first, but the instructors were amazing, and the course material was so engaging. I loved the interactive quizzes and assignments, which helped me stay on track and retain the information. The course covered a wide range of topics, from regression and classification to clustering and dimensionality reduction. I was particularly impressed by the guest lectures from industry experts, which provided valuable insights into real-world applications. I've already started applying the skills I learned to my work in predictive analytics, and I'm excited to see the impact it will have. Thank you, Stanmore School of Business, for an incredible learning experience!

CP
Cristian Popescu
RO · Course completed

I've just finished the 'Maschinelles Lernen' course at Stanmore School of Business, and I'm pleased with the outcome. As a software engineer, I was looking to expand my skill set into machine learning, and this course provided a solid introduction. The course content was well-organized, and the video lectures were clear and concise. I appreciated the emphasis on programming skills, particularly in Python, and the exercises helped me develop a good understanding of the concepts. The course materials were relevant and up-to-date, covering topics such as convolutional neural networks and recurrent neural networks. One area for improvement could be the addition of more advanced topics, such as reinforcement learning and generative models. Nonetheless, I'm satisfied with the course and would recommend it to those looking to gain a practical understanding of machine learning.





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Recently updated!

May 2026