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Graduiertenzertifikat Im Reinforcement Learning

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Overview

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Learning outcomes

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Course content

1

Einführung In Reinforcement Learning

2

Grundlagen Der Entscheidungstheorie

3

Markov-Entscheidungsprozesse

4

Q-Learning Und Deep Q-Learning

5

Policy-Gradient-Methoden Und Actor-Critic-Verfahren

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Key facts

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Why this course

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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
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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'm thrilled to have completed the Graduiertenzertifikat Im Reinforcement Learning course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in reinforcement learning, and this course exceeded my expectations. The course content was comprehensive, covering topics from the basics of Markov decision processes to advanced techniques like deep reinforcement learning. I particularly appreciated the practical examples and case studies that illustrated the application of reinforcement learning in real-world scenarios. The course materials were of high quality, and the instructors were knowledgeable and responsive. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain a deep understanding of reinforcement learning.

LH
Leila Hassan
EG · Course completed

I took the Graduiertenzertifikat Im Reinforcement Learning course at Stanmore School of Business, and it was a great experience! The course covered a wide range of topics, from the fundamentals of reinforcement learning to more advanced topics like policy gradients and actor-critic methods. I found the course materials to be well-organized and easy to follow, and the instructors were always available to answer questions. One thing that I found particularly useful was the emphasis on practical applications of reinforcement learning - the course included many examples of how reinforcement learning can be used in fields like robotics, finance, and healthcare. Overall, I'm happy with the course and would recommend it to anyone looking to learn about reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Graduiertenzertifikat Im Reinforcement Learning course at Stanmore School of Business was amazing! I was blown away by the quality of the course materials and the expertise of the instructors. The course covered everything from the basics of reinforcement learning to advanced topics like multi-agent reinforcement learning and transfer learning. I loved the interactive nature of the course - the discussions, the assignments, and the projects all helped to reinforce my understanding of the material. And the best part? I was able to apply what I learned to my own research project, and the results were incredible! I'm so grateful to have taken this course and would highly recommend it to anyone interested in reinforcement learning.

RS
Rafaela Silva
BR · Course completed

I recently completed the Graduiertenzertifikat Im Reinforcement Learning course at Stanmore School of Business, and I'm really happy with the experience. The course was well-structured and easy to follow, and the instructors were knowledgeable and supportive. I appreciated the focus on practical skills - the course included many hands-on exercises and projects that helped me to develop a deep understanding of reinforcement learning. One thing that I found particularly useful was the discussion of the challenges and limitations of reinforcement learning - it's not always easy to get reinforcement learning to work in practice, and the course did a great job of highlighting the potential pitfalls and how to avoid them. Overall, I'm satisfied with the course and would recommend it to anyone looking to learn about reinforcement learning.





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Recently updated!

May 2026