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Certificat Avancé En Apprentissage Par Renforcement (Advanced)

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Overview

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Learning outcomes

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Course content

1

Unit Introduction To Reinforcement Learning

2

Unit Foundations Of Reinforcement Learning

3

Unit Markov Decision Processes

4

Unit Value-Based Methods

5

Unit Policy-Based Methods

6

Unit Deep Reinforcement Learning

7

Unit Exploration-Exploitation Trade-Off

8

Unit Multi-Agent Reinforcement Learning

9

Unit Reinforcement Learning In Robotics

10

Unit Introduction To Q-Learning

11

Unit Sarsa And Expected Sarsa

12

Unit Deep Q-Networks

13

Unit Policy Gradient Methods

14

Unit Actor-Critic Methods

15

Unit Trust Region Methods

16

Unit Proximal Policy Optimization

17

Unit Reinforcement Learning For Continuous Actions

18

Unit Model-Based Reinforcement Learning

19

Unit Model-Free Reinforcement Learning

20

Unit Reinforcement Learning With Function Approximation

Career Path

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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
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 just completed the Certificat Avancé 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 in reinforcement learning. I gained practical knowledge in implementing Q-learning and SARSA algorithms, which I was able to apply to a project at work. The course materials were of high quality, and the instructors were very supportive. I would highly recommend this course to anyone interested in reinforcement learning.

LH
Leila Hassan
EG · Course completed

I recently finished the Certificat Avancé En Apprentissage Par Renforcement course, and I'm really satisfied with what I learned. The course covered a wide range of topics, from the basics of reinforcement learning to more advanced concepts like deep reinforcement learning. I found the examples and case studies to be very helpful in understanding the concepts, and the assignments were challenging but manageable. One thing that I found particularly useful was the discussion forum, where I could ask questions and get feedback from the instructors and other students. Overall, I think the course was well-structured and the materials were relevant and up-to-date.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! The Certificat Avancé En Apprentissage Par Renforcement course at Stanmore School of Business exceeded my expectations in every way. The course content was engaging, informative, and fun, and the instructors were extremely knowledgeable and enthusiastic. I loved the hands-on approach to learning, where we got to work on projects and implement the concepts we learned in class. I gained a lot of practical skills, including how to use Python libraries like Gym and Universe, and how to design and train my own reinforcement learning models. I would definitely recommend this course to anyone who wants to learn about reinforcement learning and have a blast doing it!

RO
Raphael Oliveira
BR · Course completed

I took the Certificat Avancé En Apprentissage Par Renforcement course at Stanmore School of Business, and I was impressed by the quality of the course materials and the expertise of the instructors. The course was well-structured, and the topics were covered in a logical and coherent way. I appreciated the emphasis on practical applications of reinforcement learning, and the examples and case studies were very helpful in illustrating the concepts. One thing that I found particularly useful was the feedback from the instructors, who were always available to answer questions and provide guidance. Overall, I think the course was a great investment of my time and money, and I would recommend it to anyone who wants to learn about reinforcement learning.





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May 2026