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Reinforcement Learning

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Overview

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Learning outcomes

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Course content

1

Introduction To Reinforcement Learning

2

Markov Decision Processes

3

Deep Reinforcement Learning

4

Policy Gradient Methods

5

Value-Based Methods

Career Path

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Key facts

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Why this course

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People also ask

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'm thrilled to have taken the Reinforcement Learning course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in machine learning, and this course exceeded my expectations. The instructor's expertise and the quality of the course materials were top-notch. I particularly appreciated the practical examples and case studies that illustrated the concepts of Q-learning, policy gradients, and deep reinforcement learning. The course helped me achieve my learning goals by providing a comprehensive understanding of the subject matter, which I've already applied to my current project with impressive results. 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 Reinforcement Learning course at Stanmore School of Business to be quite interesting and informative. The course content was well-structured, and the instructor did a great job of explaining the concepts in a clear and concise manner. I appreciated the emphasis on practical applications and the use of real-world examples to illustrate the concepts. One of the key takeaways for me was the understanding of how to implement reinforcement learning algorithms in Python, which I've already started experimenting with. While I felt that some of the topics could have been explored in more depth, overall I'm happy with the course and would recommend it to others looking to gain a solid foundation in reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was an amazing experience! I was blown away by the instructor's passion and expertise in the subject matter. The course materials were engaging, and the discussions were lively and thought-provoking. I loved how the course covered not only the theoretical foundations of reinforcement learning but also the latest advancements and applications in the field. The project assignments were challenging but rewarding, and I was able to apply the concepts to a real-world problem with impressive results. I'm so grateful to have taken this course, and I would highly recommend it to anyone looking to learn about reinforcement learning from the best!

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say it was a great learning experience. The course content was comprehensive, and the instructor did a good job of explaining the concepts in a way that was easy to understand. I appreciated the use of visual aids and examples to illustrate the concepts, which helped to reinforce my understanding. One of the key skills I gained from the course was the ability to analyze and solve complex problems using reinforcement learning techniques. The course materials were relevant and up-to-date, and I was able to apply the concepts to a project with good results. Overall, I'm happy with the course, and I would recommend it to others looking to learn about reinforcement learning.





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Recently updated!

May 2026