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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 blown away by the 'Reinforcement Learning' course at Stanmore School of Business! As a professional in the AI field, I was looking to enhance my skills in RL, and this course exceeded my expectations. The instructor's ability to break down complex concepts into understandable pieces was impressive. I gained practical knowledge in designing and implementing my own RL algorithms, which I've already applied to a project at work, resulting in a significant improvement in performance. The course materials were top-notch, and I appreciated the real-world examples that made the learning experience engaging and relevant. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in Reinforcement Learning.

LH
Leila Hassan
EG · Course completed

I found the 'Reinforcement Learning' course to be really helpful in achieving my learning goals. I was a bit skeptical at first, but the course content was well-structured and easy to follow. I liked how the instructor used simple examples to explain complex concepts, making it easier for me to understand and apply the knowledge. One of the key takeaways for me was learning how to use Q-learning and SARSA algorithms to solve problems. The course materials were good, but I felt that some of the topics could have been explored in more depth. Nevertheless, I'm happy with what I learned, and I'm looking forward to applying my new skills in future projects.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Reinforcement Learning' course at Stanmore School of Business was an incredible experience! I was eager to learn about RL and its applications, and this course delivered. The instructor was enthusiastic and knowledgeable, and the course content was comprehensive and well-organized. I gained a deep understanding of RL concepts, including policy gradients, actor-critic methods, and deep RL. The practical exercises and projects were challenging but rewarding, and I enjoyed working on them. The course materials were excellent, with many resources and references provided for further learning. I'm so glad I took this course, and I would definitely recommend it to anyone interested in RL.

RS
Rafaela Silva
BR · Course completed

I took the 'Reinforcement Learning' course at Stanmore School of Business, and it was a great experience. The course content was detailed and covered a wide range of topics, from the basics of RL to more advanced concepts like imitation learning and transfer learning. I appreciated the instructor's approach, which was clear and concise. The course materials were good, with many examples and case studies that helped illustrate the concepts. One of the things that stood out to me was the focus on practical applications of RL, which was really helpful in understanding how to apply the knowledge in real-world scenarios. Overall, I'm satisfied with the course, and I would recommend it to anyone looking to learn about RL.





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Recently updated!

May 2026