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強化学習修士証書

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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 Learning For 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
Certificate
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 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 recently completed the 強化学習修士証書 course at Stanmore School of Business, and I must say it was an incredible experience! The course content was extremely relevant and helped me achieve my learning goals. I gained practical knowledge in reinforcement learning, which I was able to apply to my current project at work. The course materials were of high quality, and the instructors were very supportive. I would highly recommend this course to anyone looking to advance their skills in AI and machine learning.

LH
Leila Hassan
EG · Course completed

I took the 強化学習修士証書 course to improve my understanding of machine learning and its applications. The course was well-structured, and the materials were easy to follow. I liked the fact that the course included many practical examples and case studies, which made it easier for me to understand the concepts. The instructors were also very helpful and responsive to my questions. Overall, I'm satisfied with the course, and I feel that it has helped me to gain a better understanding of reinforcement learning.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing course! The 強化学習修士証書 course at Stanmore School of Business exceeded my expectations in every way. The course content was comprehensive and covered all the key topics in reinforcement learning. I was impressed by the quality of the course materials, which included video lectures, readings, and assignments. The instructors were also very knowledgeable and provided excellent feedback on my assignments. I gained many practical skills, including how to implement reinforcement learning algorithms and how to analyze their performance. I would definitely recommend this course to anyone interested in AI and machine learning!

ÉM
Élise Martin
FR · Course completed

I enrolled in the 強化学習修士証書 course to learn more about the theoretical foundations of reinforcement learning. The course did not disappoint! The instructors provided a detailed and thorough explanation of the key concepts, including Markov decision processes, Q-learning, and policy gradients. The course materials were also very helpful, including the textbook and the online resources. I appreciated the fact that the course included many mathematical derivations and proofs, which helped me to gain a deeper understanding of the subject. Overall, I'm satisfied with the course, and I feel that it has helped me to achieve my learning goals.





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Recently updated!

May 2026