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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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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 was blown away by the 'Reinforcement Learning' course at Stanmore School of Business! As a professional in the field, I was looking to upskill and this course exceeded my expectations. The content was comprehensive, covering everything from the basics of Markov decision processes to advanced topics like deep reinforcement learning. I particularly appreciated the practical examples and case studies, which helped me apply the concepts to real-world problems. The course materials were top-notch, with clear and concise explanations, and the instructors were knowledgeable and responsive. I achieved my learning goals and gained a deep understanding of reinforcement learning, which I've already started applying in my work. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn about reinforcement learning.

LH
Leila Hassan
EG · Course completed

I took the 'Reinforcement Learning' course at Stanmore School of Business and found it to be a great introduction to the subject. The course covered a lot of ground, from the fundamentals of reinforcement learning to more advanced topics like policy gradients and actor-critic methods. I liked that the course included a lot of examples and exercises, which helped me understand the concepts better. The instructors were also very helpful and provided good feedback on my assignments. One thing that I found particularly useful was the section on exploration-exploitation trade-offs, which helped me understand how to balance short-term and long-term goals in my own projects. Overall, I'm happy with the course and would recommend it to others, although I do think that some of the topics could have been covered in more depth.

CS
Catarina Silva
BR · Course completed

Wow, what an amazing course! I'm so glad I took the 'Reinforcement Learning' course at Stanmore School of Business. The instructors were super knowledgeable and enthusiastic, and the course materials were incredibly well-organized and easy to follow. I loved that the course included a lot of hands-on exercises and projects, which helped me gain practical experience with reinforcement learning. One of the things that really stood out to me was the section on deep reinforcement learning, which covered topics like convolutional neural networks and recurrent neural networks. I had no experience with these topics before, but the course made them seem accessible and fun to learn. I also appreciated the discussion forums, where I could ask questions and get feedback from the instructors and other students. Overall, I'm so happy with the course and would totally recommend it to anyone interested in reinforcement learning!

KN
Kaito Nakamura
JP · Course completed

I recently completed the 'Reinforcement Learning' course at Stanmore School of Business and was impressed by the thoroughness of the material. As someone with a background in computer science, I was looking for a course that would provide a detailed introduction to reinforcement learning, and this course delivered. The lectures were well-structured and easy to follow, and the assignments were challenging but manageable. I particularly appreciated the section on model-based reinforcement learning, which covered topics like model predictive control and probabilistic modeling. The course also provided a lot of resources for further learning, including research papers and links to online tutorials. One thing that I would suggest improving is the pacing of the course, as some of the topics felt a bit rushed. However, overall I'm satisfied with the course and would recommend it to others looking for a comprehensive introduction to reinforcement learning.





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Recently updated!

May 2026