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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
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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 thrilled to have taken the Reinforcement Learning course at Stanmore School of Business! As a professional in the AI industry, I was looking to upskill and this course exceeded my expectations. The course content was comprehensive, covering everything from the basics of RL to advanced techniques like Deep Q-Networks. I particularly appreciated the practical examples and case studies, which helped me understand how to apply RL to real-world problems. The course materials were top-notch, with engaging video lectures, detailed notes, and challenging assignments. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn RL.

LM
Luna Moreno
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business and it was a great experience! I'm from Brazil and I was a bit worried about the language barrier, but the course materials were so well-structured and easy to follow that I didn't have any issues. The course covered a wide range of topics, from Markov Decision Processes to Policy Gradient Methods, and the instructors did a great job of explaining the concepts in a clear and concise manner. I also appreciated the discussion forums, where I could interact with other students and get help when I needed it. One thing that I found particularly useful was the project-based approach, where we had to implement RL algorithms in Python - it really helped me understand the practical applications of the concepts. Overall, I'd definitely recommend this course to anyone interested in RL!

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was absolutely amazing! As a researcher in the field of AI, I was blown away by the depth and breadth of the course content. The instructors were knowledgeable and passionate about the subject, and the course materials were incredibly detailed and well-organized. I particularly enjoyed the sections on Multi-Agent RL and Transfer Learning, which were areas I was not familiar with before. The assignments were challenging but rewarding, and the feedback from the instructors was always prompt and helpful. What really impressed me, though, was the emphasis on hands-on learning - we got to implement and experiment with different RL algorithms, which really helped me understand the concepts at a deeper level. If you're interested in RL, don't hesitate to take this course - it's a game-changer!

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business and I must say, it was a thoroughly enjoyable experience! As a data scientist from South Africa, I was looking to expand my skill set and this course fit the bill perfectly. The course content was well-structured and easy to follow, with a good balance of theoretical and practical aspects. I appreciated the use of real-world examples to illustrate key concepts, such as the application of RL in robotics and finance. The course materials were also very comprehensive, with detailed notes and slides that I can refer back to whenever I need to. One area where I think the course could improve is in providing more feedback on assignments - sometimes I felt like I was stuck on a problem and could have used more guidance. Nevertheless, I'm really glad I took the course and I'd recommend it to anyone looking to learn RL.





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Recently updated!

May 2026