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Reinforcement Learning

Master core algorithms, policy optimization, and environment design to train agents for optimal decisions via trial-and-error learning, including neural networks
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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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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'm thoroughly impressed 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 expertise and the quality of the course materials were top-notch. I particularly appreciated the practical examples and case studies that helped me understand the concepts better. The course content was well-structured, and I enjoyed the interactive sessions. I've already applied the knowledge I gained to my current project, and the results are promising. I'd highly recommend this course to anyone looking to dive into reinforcement learning.

LH
Leila Hassan
EG · 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 the basics of RL to more advanced techniques like Deep Q-Networks. I found the course materials to be relevant and up-to-date, and the instructor was knowledgeable and responsive to questions. One thing that really stood out to me was the diversity of the student body - I got to interact with people from different backgrounds and industries, which was really valuable. The course helped me achieve my learning goals, and I'm now able to apply RL concepts to my work in robotics. Overall, I'd recommend this course to anyone interested in RL, but I think it could benefit from more hands-on exercises and projects.

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 and expertise were infectious. The course content was incredibly comprehensive, covering everything from the fundamentals of RL to the latest advancements in the field. I loved the fact that we got to work on real-world projects and apply the concepts we learned to practical problems. The feedback from the instructor and peers was also really helpful. I've gained a ton of practical knowledge and skills from this course, and I'm now confident in my ability to design and implement RL algorithms. If you're interested in RL, do not hesitate to take this course - it's worth every penny!

RS
Rafaela Silva
BR · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business, and I'm really happy with the experience. The course was well-organized, and the instructor did a great job of explaining the concepts in a clear and concise manner. I appreciated the fact that we had access to a wide range of resources, including video lectures, readings, and practice exercises. The course helped me develop a solid understanding of RL and its applications, and I'm now able to apply the concepts to my work in autonomous systems. One thing that could be improved is the discussion forum - sometimes it was hard to get feedback from the instructor or peers. Overall, I'd recommend this course to anyone looking to learn about RL, and I'm looking forward to taking more courses at Stanmore School of Business in the future.





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Recently updated!

May 2026