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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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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 recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say it was an incredible experience. The course content was well-structured and easy to follow, with a perfect balance of theoretical foundations and practical applications. I was able to achieve my learning goals by mastering the fundamentals of reinforcement learning, including Q-learning, SARSA, and Deep Q-Networks. The course materials were of high quality, with engaging video lectures, comprehensive notes, and challenging assignments that helped me gain practical skills. I was particularly impressed by the relevance of the course to real-world problems, such as game playing and robotics. 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

The Reinforcement Learning course at Stanmore School of Business was a great introduction to the field. I liked how the course started with the basics and gradually moved on to more advanced topics. The instructor was knowledgeable and provided helpful feedback on assignments. I gained a good understanding of how to implement reinforcement learning algorithms in Python, which I've already applied to a project at work. The course materials were decent, but I felt that some topics could have been covered in more depth. Nevertheless, I appreciated the flexibility of the course and the support from the instructor and peers. Overall, it was a valuable learning experience that helped me achieve my goals.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business exceeded my expectations in every way. The course content was comprehensive, covering everything from the basics of Markov decision processes to advanced topics like policy gradients and actor-critic methods. The instructor was enthusiastic and provided detailed explanations, making it easy to understand complex concepts. I was impressed by the quality of the course materials, including the video lectures, quizzes, and assignments. The course really helped me develop a deep understanding of reinforcement learning and its applications. I've already started working on a project that involves using reinforcement learning to optimize a complex system, and I'm excited to see the results. Thank you, Stanmore School of Business, for an amazing learning experience!

RS
Rafaela Silva
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business to improve my skills in machine learning, and I'm glad I did. The course provided a solid foundation in reinforcement learning, covering topics like exploration-exploitation trade-offs, value-based methods, and policy-based methods. The instructor was knowledgeable and provided helpful examples, making it easier to understand the concepts. I appreciated the flexibility of the course, which allowed me to learn at my own pace. The course materials were good, but I felt that some topics could have been covered in more detail. Overall, it was a positive learning experience that helped me gain practical skills in reinforcement learning. I've already applied some of the concepts to a project at work, and I'm looking forward to exploring more applications in the future.





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Recently updated!

May 2026