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Reinforcement Learning

Introduction to Reinforcement Learning, a machine learning course, teaching agents to learn from environment interactions and rewards effectively
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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

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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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
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 just completed the Reinforcement Learning course at Stanmore School of Business and 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. I was able to apply the concepts I learned to my own project, which involved training an agent to navigate a complex environment. The course materials were top-notch, with clear explanations, engaging videos, and plenty of opportunities for practice. I'm so grateful to have had this experience and I highly recommend it to anyone interested in RL.

LR
Luisa Rodriguez
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business and it was a great experience. The course covered a wide range of topics, from Markov decision processes to policy gradients. I appreciated the practical approach, with many examples and case studies that helped me understand the concepts better. The course materials were well-organized and easy to follow, with plenty of resources for further learning. One thing that could be improved is the discussion forum, which was a bit slow to respond. Overall, I'm happy with the course and I feel like I gained a good understanding of RL.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was amazing! The instructors were so knowledgeable and passionate about the subject, it was infectious! I loved the way the course was structured, with a mix of theoretical foundations and practical applications. The assignments were challenging but rewarding, and the feedback from the instructors was always helpful and constructive. I was able to apply the concepts I learned to my own research project, which involved using RL to optimize a complex system. The course materials were excellent, with many references to real-world applications and cutting-edge research. I'm so glad I took this course and I highly recommend it to anyone interested in RL!

ZD
Zanele Dlamini
ZA · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business and I'm really satisfied with the experience. The course content was very detailed and covered a wide range of topics, from the basics of RL to more advanced topics like imitation learning. I appreciated the many examples and case studies that were used to illustrate the concepts, as well as the opportunities for practice and feedback. The course materials were well-organized and easy to follow, with many resources for further learning. One thing that I found particularly helpful was the discussion forum, where I was able to connect with other students and get help with any questions I had. Overall, I'm happy with the course and I feel like I gained a good understanding of RL.





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Recently updated!

May 2026