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Reinforcement Learning

Learn Reinforcement Learning concepts, algorithms, and applications in artificial intelligence and machine learning environments effectively online
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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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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Self-paced
Learn on your time
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Included in fee

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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Self-paced · Certificate included · 24/7 access · 60-second start.
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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 International Business
  • 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 Kingdom
JM
James Mitchell
GB · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say it was an absolute game-changer. The course content was incredibly comprehensive, covering everything from the basics of RL to advanced topics like deep reinforcement learning. The lectures were engaging, and the assignments were challenging yet rewarding. I particularly appreciated the emphasis on practical applications, which helped me develop a solid understanding of how to implement RL in real-world scenarios. The course materials were of high quality, and the support from the instructors was excellent. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain a deeper understanding of reinforcement learning.

LM
Luisa Moreno
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business, and it was a really cool experience! The course was pretty flexible, which was great for me since I have a busy schedule. I loved how the course covered a wide range of topics, from Markov decision processes to policy gradients. The videos were easy to follow, and the quizzes were a great way to test my knowledge. One thing that really stood out to me was the project we worked on at the end of the course - it was so much fun to apply everything I'd learned to a real-world problem. The course materials were solid, but I did have to do some extra reading to fill in a few gaps. Still, I'm really happy with what I learned, and I'd definitely recommend the course to others.

KN
Kaito Nakamura
JP · Course completed

The Reinforcement Learning course at Stanmore School of Business was truly exceptional. As someone with a strong background in mathematics, I was impressed by the rigor and depth of the course content. The instructors did an outstanding job of balancing theoretical foundations with practical applications, which made the material feel both challenging and rewarding. I was particularly impressed by the guest lectures, which provided valuable insights from industry experts. The course materials were meticulously prepared, with clear explanations and relevant examples. Throughout the course, I felt engaged and motivated, and I appreciated the opportunities to collaborate with my peers on projects. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in reinforcement learning.

ZD
Zanele Dlamini
ZA · Course completed

I enrolled in the Reinforcement Learning course at Stanmore School of Business with a bit of trepidation, as I didn't have a strong background in machine learning. However, the course turned out to be a fantastic learning experience! The instructors were knowledgeable and supportive, and the course materials were well-organized and easy to follow. I appreciated the emphasis on hands-on learning, with plenty of opportunities to practice implementing RL algorithms in Python. The discussion forums were also really helpful, as I could ask questions and get feedback from my peers. One area for improvement might be adding more advanced topics or specializations, but overall, I'm really happy with what I learned. The course has given me a solid foundation in RL, and I'm excited to apply my new skills in my future projects.





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Recently updated!

May 2026