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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
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 it was truly exceptional. The course content was comprehensive, covering the fundamentals of RL, including MDPs, Q-learning, and policy gradients. 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, achieving significant improvements in performance. The course materials were of high quality, with relevant examples and case studies that helped to reinforce my understanding. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in RL.

LR
Luisa Rodriguez
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business and it was a great experience. The course covered a wide range of topics, from the basics of RL to more advanced techniques like deep RL. The instructors were friendly and approachable, and the course materials were well-organized and easy to follow. One of the things that I found most useful was the practical assignments, which allowed me to apply the concepts learned in the course to real-world problems. For example, I was able to use Q-learning to optimize a robot's navigation system, which was a really cool project. Overall, I'm happy with the course and would recommend it to anyone looking to learn about RL.

AH
Amira Hassan
EG · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was amazing! The instructors were so passionate about the subject and it was infectious. The course content was incredibly detailed, covering everything from the fundamentals of RL to the latest advances in the field. I was blown away by the quality of the course materials, which included video lectures, readings, and assignments. The course was challenging, but in a good way - it really pushed me to think critically and creatively. One of the highlights of the course was the final project, where I was able to apply RL to a real-world problem and see the results firsthand. I'm so grateful to have taken this course and would highly recommend it to anyone interested in RL.

KN
Kaito Nakamura
JP · Course completed

I enrolled in the Reinforcement Learning course at Stanmore School of Business with the goal of improving my skills in AI and machine learning. The course was well-structured and easy to follow, with clear explanations of complex concepts. The instructors were knowledgeable and provided helpful feedback on assignments. One of the things that I appreciated most about the course was the emphasis on practical applications of RL. For example, we learned about how to use RL to optimize systems and make decisions in uncertain environments. The course materials were also very comprehensive, with many examples and case studies to illustrate key concepts. Overall, I'm satisfied with the course and would recommend it to anyone looking to learn about RL.





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Recently updated!

May 2026