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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
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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 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 incredibly comprehensive, covering everything from the basics of Markov Decision Processes to advanced techniques like Deep Q-Networks. I was able to apply the knowledge I gained to a project at work, which resulted in a significant improvement in our team's performance. The course materials were top-notch, with engaging videos, relevant readings, and challenging assignments. I'd highly recommend this course to anyone looking to break into the field of 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 wide range of topics, from the fundamentals of reinforcement learning to more advanced topics like policy gradients and actor-critic methods. I appreciated the practical examples and case studies, which helped to illustrate the concepts and make them more concrete. The course materials were well-organized and easy to follow, although I did find some of the assignments to be a bit challenging. Overall, I'm glad I took the course and would recommend it to others who are interested in learning about 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 a bit skeptical at first, but the instructor's enthusiasm and expertise were infectious. The course content was incredibly engaging, with a perfect mix of theory and practice. I loved the hands-on assignments, which allowed me to experiment with different algorithms and techniques. The course materials were also superb, with plenty of resources and references for further learning. I was able to apply the knowledge I gained to a personal project, which resulted in a significant breakthrough. I'd highly recommend this course to anyone who wants to learn about reinforcement learning and have fun while doing it!

RO
Raphael Oliveira
BR · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business and was impressed by the quality of the content. The course provided a thorough introduction to the subject, covering topics like value-based and policy-based methods, as well as more advanced techniques like imitation learning and transfer learning. I appreciated the detailed explanations and examples, which helped to clarify the concepts and make them more accessible. The course materials were also well-organized and easy to follow, although I did find some of the mathematical derivations to be a bit dense. Overall, I'm glad I took the course and would recommend it to others who are interested in learning about reinforcement learning.





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Recently updated!

May 2026