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Certificat D'études Supérieures En Apprentissage Par Renforcement (Avancé) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Fundamentals Of Reinforcement Learning

2

Markov Decision Processes

3

Dynamic Programming

4

Model-Free Reinforcement Learning

5

Model-Based Reinforcement Learning

6

Deep Reinforcement Learning

7

Policy Gradient Methods

8

Value-Based Methods

9

Actor-Critic Methods

10

Exploration-Exploitation Trade-Off

11

Multi-Agent Reinforcement Learning

12

Imitation Learning

13

Transfer Learning

14

Curriculum Learning

15

Meta-Learning

16

Reinforcement Learning With Function Approximation

17

Off-Policy Reinforcement Learning

18

On-Policy Reinforcement Learning

19

Reinforcement Learning For Robotics

20

Reinforcement Learning For Game Playing

Career Path

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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 recently completed the Certificat D'études Supérieures En Apprentissage Par Renforcement (Avancé) course at Stanmore School of Business, and I must say it was an incredible experience. The course content was highly relevant and helped me achieve my learning goals of gaining advanced knowledge in reinforcement learning. The practical skills I gained, such as implementing Q-learning and SARSA algorithms, have been invaluable in my current role as a data scientist. 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 advance their skills in reinforcement learning.

CB
Camille Bernard
FR · Course completed

I found the Certificat D'études Supérieures En Apprentissage Par Renforcement (Avancé) course to be quite challenging, but ultimately rewarding. The course content was well-structured, and the examples provided were helpful in understanding complex concepts like deep reinforcement learning. I appreciated the diversity of topics covered, from policy gradients to actor-critic methods. While some of the course materials could be improved, overall I was satisfied with the quality and relevance of the content. My only suggestion would be to provide more feedback on assignments and projects.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I'm so glad I took the Certificat D'études Supérieures En Apprentissage Par Renforcement (Avancé) course at Stanmore School of Business. The instructors were super enthusiastic and knowledgeable, and the course materials were top-notch. I loved the hands-on approach, with plenty of opportunities to practice and apply what I learned. The course covered a wide range of topics, from the basics of reinforcement learning to more advanced techniques like imitation learning and transfer learning. I feel like I gained a deep understanding of the subject matter, and I'm excited to apply my new skills in my future endeavors.

RK
Rahul Kapoor
IN · Course completed

I took the Certificat D'études Supérieures En Apprentissage Par Renforcement (Avancé) course to gain a deeper understanding of reinforcement learning and its applications. The course content was comprehensive, covering both the theoretical foundations and practical aspects of the subject. I appreciated the use of real-world examples and case studies to illustrate key concepts. The course materials were well-organized, and the instructors were responsive to questions and feedback. One area for improvement could be providing more opportunities for interaction and discussion among students. Overall, I'm satisfied with the course and feel that it has helped me achieve my learning goals.





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Recently updated!

May 2026