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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 just completed the Reinforcement Learning course at Stanmore School of Business and I'm blown away by the quality of the content! The course materials were incredibly relevant and well-structured, making it easy for me to grasp complex concepts like Q-learning and policy gradients. I was able to apply the knowledge I gained to improve the performance of my company's autonomous systems, which has been a game-changer for our business. The instructors were also very responsive to questions and provided valuable feedback on assignments. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn about reinforcement learning.

CB
Camille Bernard
FR · Course completed

I found the Reinforcement Learning course to be a great introduction to the field. The course covered a wide range of topics, from the basics of Markov decision processes to more advanced techniques like deep reinforcement learning. I appreciated the practical examples and case studies, which helped to illustrate the concepts and make them more tangible. The course materials were also well-organized and easy to follow. One area for improvement could be the addition of more interactive elements, such as quizzes or discussions, to enhance the learning experience. Overall, I'm happy with the course and feel that it has given me a solid foundation in reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! I was a bit skeptical at first, but the Reinforcement Learning course at Stanmore School of Business exceeded my expectations in every way. The instructors were knowledgeable and passionate about the subject, and the course materials were engaging and easy to understand. I loved the hands-on approach, with plenty of opportunities to practice and apply the concepts to real-world problems. The course also covered some of the latest advances in the field, such as imitation learning and multi-agent systems. I feel like I've gained a whole new set of skills and perspectives, and I'm excited to apply them to my work in robotics and AI.

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the Reinforcement Learning course and I'm really glad I took it. The course was well-structured and the instructors were very supportive. I liked the way the course built from the basics to more advanced topics, and the examples and case studies were helpful in illustrating the concepts. One thing that I found particularly useful was the discussion forum, where I could ask questions and get feedback from the instructors and other students. The course materials were also very comprehensive, with plenty of additional resources and references for further learning. Overall, I'm happy with the course and feel that it has given me a good understanding of reinforcement learning and its applications.





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Recently updated!

May 2026