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Reinforcement Learning

Learn Reinforcement Learning fundamentals, algorithms, and applications in autonomous systems, robotics, and game playing with practical coding exercises
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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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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Learn on your time
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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
Ready when you are
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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 recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say it was an incredible experience! The course content was extremely comprehensive, covering everything from the basics of RL to advanced topics like Deep Q-Networks and Policy Gradient Methods. The instructors were knowledgeable and provided excellent support throughout the course. I was able to apply the concepts learned in the course to my own project, which involved training an agent to play a game using Q-learning. The course materials were of high quality, and the examples provided were very helpful in understanding the concepts. Overall, I'm extremely satisfied with the course, and I would highly recommend it to anyone interested in Reinforcement Learning.

LH
Leila Hassan
EG · Course completed

I took the Reinforcement Learning course at Stanmore School of Business, and it was a great learning experience. The course covered a wide range of topics, from the fundamentals of RL to more advanced topics like exploration-exploitation trade-offs and multi-agent RL. I found the course materials to be well-structured and easy to follow, and the instructors were very responsive to questions and comments. One thing that I found particularly useful was the emphasis on practical applications of RL, such as robotics and game playing. I was able to gain a good understanding of how to implement RL algorithms in practice, and I'm looking forward to applying these skills in my future projects. Overall, I would recommend this course to anyone interested in RL, but I would suggest that the instructors provide more feedback on assignments and projects.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course exceeded my expectations in every way. The instructors were passionate and knowledgeable, and the course materials were top-notch. I loved how the course was structured, with a mix of theoretical foundations and practical applications. The assignments and projects were challenging, but they really helped me understand the concepts and apply them to real-world problems. I was able to learn about topics like imitation learning and transfer learning, which I hadn't encountered before. The community was also very supportive, and I was able to learn from my fellow students and get help when I needed it. Overall, I'm so glad I took this course, and I would highly recommend it to anyone interested in Reinforcement Learning!

RK
Rahul Kapoor
IN · Course completed

I completed the Reinforcement Learning course at Stanmore School of Business, and it was a solid learning experience. The course content was detailed and comprehensive, covering a wide range of topics in RL. I appreciated how the instructors provided a thorough understanding of the mathematical foundations of RL, as well as practical examples and case studies. The course materials were well-organized, and the video lectures were clear and concise. One thing that I found particularly helpful was the discussion forum, where I was able to ask questions and get feedback from the instructors and other students. I was able to gain a good understanding of how to design and implement RL algorithms, and I'm looking forward to applying these skills in my future projects. Overall, I would recommend this course to anyone interested in RL, but I would suggest that the instructors provide more opportunities for students to work on projects and apply the concepts learned in the course.





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Recently updated!

May 2026