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Reinforcement Learning

This certificate course covers advanced concepts in reinforcement learning, including deep reinforcement learning techniques and their applications in various industries
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Markov Decision Processes

2

Policy Gradient Methods

3

Q-Learning Algorithms

4

Deep Reinforcement Learning

5

Exploration Strategies

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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Learn on your time
Certificate
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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 Planning and Management
  • 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'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 delivered. The content was incredibly relevant and helped me achieve my learning goals by providing a deep dive into the fundamentals of reinforcement learning. I particularly appreciated the practical examples and case studies that illustrated how to apply these concepts in real-world scenarios. The course materials were top-notch, and I loved the interactive exercises that reinforced my understanding. Overall, my learning experience was exceptional, and I'm highly satisfied with the skills I gained - I've already started applying them in my current project with impressive results!

LH
Leila Hassan
EG · Course completed

I found the 'Reinforcement Learning' course to be quite useful. Coming from a background in computer science, I was interested in exploring machine learning further. The course provided a good introduction to the basics of reinforcement learning, including Markov decision processes and Q-learning. While some of the topics were challenging, the course materials were generally clear and well-structured. I appreciated the variety of assignments and quizzes that helped solidify my understanding. One area for improvement could be more discussion on the latest advancements in the field, but overall, I'm pleased with what I learned and feel more confident in my ability to tackle projects involving reinforcement learning.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'Reinforcement Learning' course at Stanmore School of Business exceeded all my expectations! I was a bit skeptical at first, given my limited prior knowledge of machine learning, but the course was designed in a way that made it easy to follow along. The instructors were fantastic, and the support team was always available to help with any questions. The course content was incredibly engaging, with lots of opportunities to practice what we learned through labs and projects. I was amazed at how quickly I was able to pick up the concepts and start building my own reinforcement learning models. The sense of accomplishment I felt when my models started producing good results was incredible - it's a feeling I'll never forget! Thanks to this course, I've decided to pursue a career in AI, and I couldn't be more excited for the future.

KN
Kaito Nakamura
JP · Course completed

The 'Reinforcement Learning' course was a valuable learning experience for me. As someone interested in robotics, I wanted to learn more about how reinforcement learning can be applied to control and navigation tasks. The course provided a comprehensive overview of the key concepts and techniques, including policy gradients and deep reinforcement learning. I found the lectures to be well-organized and easy to understand, and the homework assignments were challenging but helpful in reinforcing my understanding. One thing that would have been nice is more feedback on our assignments, but overall, I'm satisfied with what I learned and feel that it will be useful in my future studies and projects. The course materials were also very relevant to current research in the field, which I appreciated.





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Recently updated!

April 2026