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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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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 absolutely thrilled with the Reinforcement Learning course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in machine learning, and this course exceeded my expectations. The instructor's explanation of Q-learning and SARSA algorithms was crystal clear, and I appreciated the practical examples that illustrated their applications. The course materials were top-notch, with relevant case studies and assignments that helped me grasp the concepts. I'm now confident in my ability to design and implement reinforcement learning models, and I've already seen significant improvements in my project outcomes. Kudos to the team for creating such an engaging and informative course!

LH
Leila Hassan
EG · Course completed

I took the Reinforcement Learning course at Stanmore School of Business, and it was a really great experience. I liked how the course started with the basics and gradually moved on to more advanced topics. The instructor did a good job of explaining the concepts, and the videos were helpful. I also appreciated the discussion forum, where I could ask questions and get feedback from the instructor and other students. One thing that I found particularly useful was the section on deep reinforcement learning - it was really interesting to learn about the different architectures and techniques. Overall, I'm happy with the course, and I feel like I learned a lot. Maybe the only thing that could be improved is adding more practice exercises, but other than that, it was a solid course.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the instructor's enthusiasm was infectious, and I found myself getting more and more excited about the topic as the course progressed. The course materials were incredibly comprehensive, covering everything from the fundamentals of reinforcement learning to the latest advancements in the field. I loved the hands-on approach, with plenty of opportunities to practice and apply the concepts to real-world problems. The instructor's feedback was also super helpful, and I appreciated the personalized attention. I've already started working on a project that applies the techniques I learned, and I'm seeing great results. If you're interested in reinforcement learning, don't hesitate - this course is a must-take!

RS
Raphael Silva
BR · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say that it was a very detailed and well-structured course. The instructor provided a thorough explanation of the concepts, and the course materials were well-organized and easy to follow. I appreciated the fact that the course covered both the theoretical and practical aspects of reinforcement learning, with a focus on the most relevant and widely used algorithms. The assignments were also very helpful, as they allowed me to practice and reinforce my understanding of the concepts. 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. Overall, I'm satisfied with the course, and I feel like I have a good grasp of the fundamentals of reinforcement learning.





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Recently updated!

May 2026