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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 thrilled to have taken the Reinforcement Learning course at Stanmore School of Business! As a professional in the AI industry, I was looking to enhance my skills in this area, and this course exceeded my expectations. The instructor's expertise and the quality of the course materials were top-notch. I particularly appreciated the practical examples and case studies that illustrated the concepts of Q-learning, policy gradients, and deep reinforcement learning. The course helped me achieve my learning goals by providing a comprehensive understanding of reinforcement learning algorithms and their applications. I'm now able to apply these concepts to real-world problems and have already seen significant improvements in my project outcomes. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain practical knowledge in reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

I took the Reinforcement Learning course at Stanmore School of Business and found it to be a great introduction to the field. The course materials were well-structured and easy to follow, and the instructor did a good job of explaining the key concepts. I appreciated the focus on practical applications and the use of real-world examples to illustrate the concepts. One area for improvement could be the addition of more advanced topics, such as multi-agent reinforcement learning or transfer learning. However, overall I was satisfied with the course and felt that it provided a solid foundation in reinforcement learning. The course helped me achieve my learning goals by providing a comprehensive overview of the field and introducing me to new concepts and techniques.

LH
Leila Hassan
EG · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was an absolute game-changer for me! I was a bit skeptical at first, but the instructor's enthusiasm and expertise were infectious, and I found myself thoroughly enjoying the course. The materials were engaging, relevant, and perfectly paced. I loved the interactive elements, such as the quizzes and discussions, which helped to reinforce my understanding of the concepts. The course helped me achieve my learning goals by providing me with a deep understanding of reinforcement learning and its applications. I'm now able to apply these concepts to my own projects and have already seen significant improvements in my results. I would highly recommend this course to anyone looking to learn about reinforcement learning - it's a wild ride, but totally worth it!

CO
Cian O'Connor
IE · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business and was impressed by the quality of the course materials and the instructor's expertise. The course provided a detailed overview of reinforcement learning algorithms, including Q-learning, SARSA, and deep reinforcement learning. I appreciated the focus on practical applications and the use of real-world examples to illustrate the concepts. The course helped me achieve my learning goals by providing a comprehensive understanding of reinforcement learning and its applications. One area for improvement could be the addition of more advanced topics, such as reinforcement learning for robotics or computer vision. However, overall I was satisfied with the course and would recommend it to anyone looking to gain a solid understanding of reinforcement learning.





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Recently updated!

May 2026