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Graduierten-Zertifikat in Reinforcement Learning (Fortgeschritten) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Markov Decision Processes

2

Value-Based Methods

3

Policy-Based Methods

4

Deep Reinforcement Learning

5

Exploration-Exploitation Trade-Offs

6

Multi-Agent Reinforcement Learning

7

Imitation Learning

8

Transfer Learning In Rl

9

Rl For Robotics

10

Partial Observability

11

Deep Q-Networks

12

Policy Gradient Methods

13

Actor-Critic Algorithms

14

Trust Region Methods

15

Proximal Policy Optimization

16

Asynchronous Advantage Actor-Critic

17

Soft Actor-Critic

18

Off-Policy Reinforcement Learning

19

Model-Based Reinforcement Learning

20

Inverse Reinforcement Learning

Career Path

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Key facts

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Why this course

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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 Graduierten-Zertifikat in Reinforcement Learning (Fortgeschritten) course at Stanmore School of Business! The course content was incredibly comprehensive, covering everything from the fundamentals of RL to advanced techniques like deep Q-networks and policy gradients. I was able to apply the concepts learned in the course to my own research project, which resulted in a significant improvement in performance. The course materials were top-notch, with clear explanations, relevant examples, and excellent supporting resources. I'm extremely satisfied with my learning experience and would highly recommend this course to anyone looking to advance their skills in RL.

CB
Camille Bernard
FR · Course completed

I found the Graduierten-Zertifikat in Reinforcement Learning (Fortgeschritten) course to be quite challenging, but ultimately very rewarding. The course covered a wide range of topics, from Markov decision processes to Monte Carlo methods, and provided a solid foundation for understanding the underlying principles of RL. I appreciated the emphasis on practical applications, with many examples and case studies drawn from real-world scenarios. While some of the course materials could be improved, overall I was pleased with the quality and relevance of the content. I gained a deeper understanding of RL and was able to apply the knowledge to my own projects, which was a great outcome.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! The Graduierten-Zertifikat in Reinforcement Learning (Fortgeschritten) at Stanmore School of Business exceeded my expectations in every way. The instructors were knowledgeable and enthusiastic, and the course materials were engaging and easy to follow. I loved the hands-on approach, with many opportunities to practice and apply the concepts learned in the course. The course covered some really advanced topics, like imitation learning and multi-agent systems, which were fascinating to learn about. I was able to achieve my learning goals and gain a much deeper understanding of RL, which has already started to pay off in my career. Highly recommended!

RK
Rahul Kapoor
IN · Course completed

I recently completed the Graduierten-Zertifikat in Reinforcement Learning (Fortgeschritten) course at Stanmore School of Business, and I must say it was a great experience. The course content was well-structured and easy to follow, with a good balance of theoretical foundations and practical applications. I appreciated the emphasis on problem-solving and critical thinking, which helped me develop a more nuanced understanding of RL. The course materials were generally of high quality, although some of the examples could be more diverse and representative of different industries and domains. Overall, I'm satisfied with my learning experience and feel that I gained some valuable skills and knowledge that will serve me well in my future endeavors.





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May 2026