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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 thoroughly impressed with 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 comprehensive, covering everything from the basics of Markov Decision Processes to advanced topics like Deep Q-Networks. I particularly appreciated the practical examples and case studies, which helped me understand how to apply the concepts to real-world problems. The course materials were top-notch, with clear and concise explanations, and the instructor's feedback was invaluable. I achieved my learning goals and gained a deeper understanding of reinforcement learning, which I've already started applying in my work. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn about reinforcement learning.

LM
Luna Moreno
BR · Course completed

I just finished the Reinforcement Learning course and I'm so glad I took it! The course was really well-structured and easy to follow, even for someone like me who's new to the field. I loved the interactive exercises and quizzes, which helped me stay engaged and motivated. The course covered a lot of practical topics, like how to implement reinforcement learning algorithms in Python, and the instructor provided plenty of examples and code snippets to illustrate the concepts. One thing that really stood out to me was the discussion forum, where I could ask questions and get feedback from the instructor and other students. The course materials were also really helpful, with lots of additional resources and references for further learning. My only suggestion would be to add more advanced topics, but overall I'm really happy with the course and would recommend it to anyone looking to learn about reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was absolutely amazing! I was blown away by the quality of the course materials and the instructor's expertise. The course covered everything I needed to know to get started with reinforcement learning, from the basics of reinforcement learning to advanced topics like policy gradients and actor-critic methods. I particularly loved the hands-on projects, which gave me the opportunity to apply the concepts to real-world problems and see the results for myself. The instructor was also super responsive and provided detailed feedback on my assignments, which really helped me improve my understanding of the material. I achieved my learning goals and gained a ton of practical knowledge and skills, which I'm already applying in my work. I'm so grateful to have taken this course and would highly recommend it to anyone looking to learn about reinforcement learning!

HR
Hassan Rahman
AE · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business and I'm really pleased with the experience. The course was well-structured and easy to follow, with clear explanations and examples. I appreciated the focus on practical applications, such as robotics and game playing, which helped me see the relevance of the concepts to real-world problems. The course materials were also really helpful, with plenty of additional resources and references for further learning. One thing that I found particularly useful was the discussion of the challenges and limitations of reinforcement learning, which gave me a more nuanced understanding of the field. My only suggestion would be to add more video lectures, but overall I'm really happy with the course and would recommend it to anyone looking to learn about reinforcement learning. The instructor was also really responsive and provided helpful feedback on my assignments.





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Recently updated!

May 2026