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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 field, I was looking to upskill and this course exceeded my expectations. The content was incredibly comprehensive, covering everything from the basics of Markov Decision Processes to advanced topics like Deep Q-Networks. The course materials were top-notch, with engaging video lectures, relevant readings, and challenging assignments that really helped me apply the concepts to real-world problems. I particularly appreciated the example on using Q-learning to optimize a robotic arm's movement - it was a game-changer for my current project. Overall, I'm thoroughly satisfied with the course and would highly recommend it to anyone looking to gain practical skills in reinforcement learning.

LM
Luna Moreno
BR · Course completed

Oi, eu amei o curso de Reinforcement Learning na Stanmore School of Business! Eu estava procurando por uma introdução ao assunto e o curso foi super útil. A parte que mais gostei foi a seção sobre políticas de exploração, que me ajudou a entender como balancear a exploração e a explotação em problemas de aprendizado por reforço. Os materiais do curso também foram muito bons, com vídeos aulas bem explicados e exercícios práticos que me fizeram pensar criticamente. Uma coisa que eu achei um pouco difícil foi a parte sobre algoritmos de aprendizado por reforço com múltiplos agentes, mas no geral, eu estou muito satisfeita com o curso e recomendo para qualquer um que queira aprender sobre aprendizado por reforço.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was an eye-opener for me! I was struggling to understand the concepts of reinforcement learning, but the course explained everything in a clear and concise manner. The instructor was amazing, and the course materials were so engaging and relevant. I loved the example on using reinforcement learning to optimize a recommendation system - it was so cool to see how the algorithms could be applied to real-world problems. The best part was the project at the end, where we had to implement our own reinforcement learning algorithm from scratch. It was challenging, but it really helped me solidify my understanding of the concepts. Overall, I'm super satisfied with the course and would definitely recommend it to anyone interested in reinforcement learning!

ZD
Zanele Dlamini
ZA · Course completed

The Reinforcement Learning course at Stanmore School of Business was a great experience for me. As someone with a background in computer science, I was looking to expand my knowledge of machine learning and this course fit the bill. The course content was detailed and well-structured, covering a wide range of topics from the fundamentals of reinforcement learning to more advanced subjects like imitation learning. The course materials were of high quality, with plenty of examples and case studies to illustrate the concepts. One thing that I found particularly useful was the discussion on the challenges of applying reinforcement learning in real-world scenarios, such as the need for large amounts of data and the potential for bias in the algorithms. Overall, I'm happy with the course and would recommend it to anyone looking to gain a deeper understanding of reinforcement learning.





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Recently updated!

May 2026