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Graduate Certificate in 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

Fundamentals Of Markov Decision Processes

3

Deep Learning For Reinforcement Learning

4

Reinforcement Learning Algorithms

5

Advanced Topics In Reinforcement Learning

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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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 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'm blown away by the Graduate Certificate in Reinforcement Learning from Stanmore School of Business! As a professional in the AI industry, I was looking to upskill and this course delivered. The content was incredibly relevant and helped me achieve my learning goals, particularly in understanding the fundamentals of RL and its applications. I was impressed by the quality of the course materials, which included real-world examples, case studies, and interactive simulations. The instructors were knowledgeable and responsive, and the online platform was user-friendly. I gained practical skills in implementing RL algorithms, such as Q-learning and policy gradients, and I'm already applying them in my current project. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to break into the field of RL.

LH
Leila Hassan
EG · Course completed

I recently completed the Graduate Certificate in Reinforcement Learning from Stanmore School of Business and I must say it was a great experience. The course content was comprehensive and well-structured, covering topics such as Markov decision processes, RL algorithms, and deep RL. I found the course materials to be of high quality, with engaging video lectures, quizzes, and assignments that helped me stay on track. The instructors were supportive and provided timely feedback. One of the key takeaways for me was the ability to design and implement my own RL agents using Python and TensorFlow. While there were some areas where I felt the course could be improved, overall I'm satisfied with what I learned and would recommend it to others interested in RL.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The Graduate Certificate in Reinforcement Learning from Stanmore School of Business exceeded my expectations in every way. The course was so much fun and engaging, with plenty of opportunities to practice and apply what I learned. The instructors were passionate and knowledgeable, and the course materials were top-notch. I loved the interactive simulations and real-world examples, which helped me understand the concepts so much better. I gained a deep understanding of RL fundamentals, including exploration-exploitation trade-offs, RL algorithms, and function approximation. The course also helped me develop essential skills in Python programming, data analysis, and visualization. I'm already seeing the benefits of this course in my career and I'm so grateful to have had this experience.

KN
Kaito Nakamura
JP · Course completed

I approached the Graduate Certificate in Reinforcement Learning from Stanmore School of Business with a critical eye, but I was pleasantly surprised by the high quality of the course. As a detail-oriented person, I appreciated the thoroughness of the course materials, which covered a wide range of topics in RL, from the basics to advanced techniques. The instructors provided clear explanations and examples, and the assignments were challenging but manageable. One area where I felt the course excelled was in its coverage of deep RL, including techniques such as DQN, policy gradients, and actor-critic methods. I also appreciated the discussion forums, where I could interact with other students and get feedback on my work. While there were some minor issues with the online platform, overall I'm satisfied with the course and would recommend it to others looking for a comprehensive introduction to RL.





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Recently updated!

May 2026