Free preview available
Columbus, United States · Study online with LSBA

Reinforcement Learning

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3053 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

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

Loading...

Key facts

Loading...

Why this course

Loading...

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.

60 sec
From enrol to start
24/7
Course access
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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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 Reinforcement Learning course at Stanmore School of Business! As a professional in the field, I was looking to upskill and stay ahead of the curve. The course content was incredibly comprehensive, covering everything from the basics of Markov decision processes to advanced topics like deep reinforcement learning. I particularly appreciated the practical examples and case studies, which helped me apply the concepts to real-world problems. The course materials were top-notch, with clear and concise explanations, and the instructors were knowledgeable and responsive. I achieved my learning goals and then some - I was able to implement reinforcement learning algorithms in my own projects and saw significant improvements in performance. Overall, I'm thoroughly satisfied with the course and would highly recommend it to anyone looking to learn reinforcement learning.

LM
Luisa Moreno
BR · Course completed

I took the Reinforcement Learning course at Stanmore School of Business and it was a great experience! The course covered a lot of ground, from the fundamentals of reinforcement learning to more advanced topics like policy gradients and actor-critic methods. I liked that the course included a lot of coding exercises and projects, which helped me get hands-on experience with the concepts. The course materials were good, but sometimes I felt like they could be more detailed or include more examples. Still, the instructors were helpful and always willing to answer questions. One thing that really stood out to me was the diversity of the student body - I was able to learn from and collaborate with people from all over the world, which was really valuable. Overall, I'd recommend the course to anyone looking to learn reinforcement learning, but maybe do some extra reading on the side to fill in any gaps.

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 from the very first lecture, I was hooked. The instructors were so passionate and knowledgeable, and the course content was incredibly engaging. I loved the way the course was structured, with a mix of theoretical foundations and practical applications. The coding exercises were so much fun, and I felt like I was learning by doing, rather than just listening to lectures. The course materials were super high-quality, with lots of visual aids and examples to help illustrate the concepts. And the community was so supportive - I made some great friends and connections through the course. I achieved all my learning goals and more, and I'm already applying what I learned to my own projects. If you're thinking of taking this course, STOP THINKING AND JUST DO IT - you won't regret it!

AA
Amira Ali
EG · Course completed

I recently completed the Reinforcement Learning course at Stanmore School of Business, and I must say it was a thoroughly enjoyable and enriching experience. The course provided a detailed and comprehensive introduction to the field of reinforcement learning, covering topics such as MDPs, Q-learning, and SARSA. The course materials were well-structured and easy to follow, with plenty of examples and illustrations to help clarify the concepts. The instructors were knowledgeable and helpful, and the online discussion forums were a great way to connect with fellow students and get feedback on assignments. One area for improvement might be the inclusion of more advanced topics, such as deep reinforcement learning or transfer learning. Nonetheless, I felt like I gained a solid foundation in the subject and was able to apply the concepts to some of my own projects. Overall, I would recommend this course to anyone looking to learn about reinforcement learning, particularly those with a background in computer science or engineering.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026