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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 AI field, I was looking to deepen my understanding of RL techniques, and this course exceeded my expectations. The instructor's ability to explain complex concepts like Markov Decision Processes and Q-learning was phenomenal. The course materials were top-notch, with a perfect blend of theoretical foundations and practical examples. I particularly appreciated the hands-on projects, which allowed me to apply my knowledge to real-world problems. The course helped me achieve my learning goals, and I'm confident that I can now tackle more challenging projects at work. Overall, I'm thoroughly satisfied with the course and would highly recommend it to anyone interested in RL.

LH
Leila Hassan
EG · Course completed

I took the 'Reinforcement Learning' course at Stanmore School of Business, and it was a great experience! The course content was well-structured, and the instructor did a good job of explaining the concepts. I liked how the course covered both the basics and some advanced topics, like Deep RL and imitation learning. The assignments were challenging, but they helped me gain practical skills in implementing RL algorithms. One thing that I found particularly useful was the discussion forum, where I could interact with other students and get help when I needed it. The course materials were relevant and up-to-date, which was a big plus. Overall, I'm happy with the course, and I think it's a good choice for anyone looking to learn about RL.

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 instructor's enthusiasm was infectious, and the course content was incredibly engaging. I loved how the course covered the latest advances in RL, like model-based RL and transfer learning. The projects were super fun, and I got to work on some really cool applications, like training an agent to play a game. The course materials were top-quality, with lots of interesting examples and case studies. I also appreciated the feedback from the instructor, which helped me improve my understanding of the concepts. Overall, I'm so glad I took this course, and I would highly recommend it to anyone who wants to learn about RL.

RS
Raphael Silva
BR · Course completed

I recently completed the 'Reinforcement Learning' course at Stanmore School of Business, and I have to say that it was a great learning experience. The course content was comprehensive, covering all the key topics in RL, from the basics to more advanced concepts like exploration-exploitation trade-offs. The instructor did a good job of explaining the concepts, and the course materials were well-organized and easy to follow. I liked how the course included some real-world examples, which helped me see the practical applications of RL. The assignments were challenging, but they helped me develop my problem-solving skills. One thing that I would suggest is adding more discussion topics or group projects to the course, as I think that would help students learn from each other. Overall, I'm satisfied with the course, and I think it's a good choice for anyone who wants to learn about RL.





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Recently updated!

May 2026