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Columbus, United States · Study online with LSBA

Certificat Postuniversitaire En Apprentissage Par Renforcement

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Overview

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Learning outcomes

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Course content

1

Introduction To Reinforcement Learning

2

Foundations Of Machine Learning

3

Markov Decision Processes

4

Deep Learning For Reinforcement Learning

5

Policy Gradient Methods

6

Value-Based Methods

7

Model-Based Reinforcement Learning

8

Exploration-Exploitation Trade-Offs

9

Multi-Agent Reinforcement Learning

10

Advanced Topics In Reinforcement Learning

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 Postuniversitaire En Apprentissage Par Renforcement 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. I gained practical knowledge in reinforcement learning, including Q-learning and deep Q-networks, which I was able to apply to real-world problems. The course materials were of high quality, and the instructors were very supportive. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in reinforcement learning.

CB
Camille Bernard
FR · Course completed

I found the Certificat Postuniversitaire En Apprentissage Par Renforcement course to be quite useful, especially in terms of the theoretical foundations of reinforcement learning. The course covered a wide range of topics, from Markov decision processes to policy gradients, and the instructors provided many examples and case studies to illustrate the concepts. While I felt that some of the course materials could be improved, overall I was satisfied with the course and appreciated the flexibility of the online format. One area for improvement could be the addition of more practical exercises and projects to help students apply the concepts to real-world problems.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I was blown away by the quality of the instruction and the depth of knowledge covered in the Certificat Postuniversitaire En Apprentissage Par Renforcement course. The instructors were passionate and enthusiastic, and their love for the subject matter was contagious. I gained a ton of practical skills, including how to implement reinforcement learning algorithms in Python and how to design and train my own agents. The course materials were top-notch, and I appreciated the many resources and references provided for further learning. Overall, I'm so glad I took this course and would highly recommend it to anyone interested in AI and machine learning.

RK
Rahul Kapoor
IN · Course completed

I took the Certificat Postuniversitaire En Apprentissage Par Renforcement course to improve my understanding of reinforcement learning and its applications. The course was well-structured and easy to follow, with many examples and illustrations to help explain the concepts. I appreciated the flexibility of the online format, which allowed me to complete the course on my own schedule. One area where the course could be improved is in providing more feedback and support to students, particularly in terms of assessing their progress and understanding. Overall, however, I was satisfied with the course and feel that it helped me achieve my learning goals.





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Recently updated!

May 2026