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
4369 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 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 exceptional. I particularly appreciated the practical examples and case studies that helped me understand complex concepts like Q-learning and policy gradients. The course has already helped me achieve my learning goals, and I've been able to apply the knowledge to real-world projects. I highly recommend this course to anyone interested in reinforcement learning!

LS
Leandro Silva
BR · Course completed

The Reinforcement Learning course was a great experience for me. I'm from Brazil, and it was awesome to learn from instructors with so much experience in the field. The course content was really relevant to my interests, and I enjoyed the mix of theoretical and practical lessons. I gained a lot of practical knowledge, especially in terms of implementing algorithms like SARSA and Deep Q-Networks. The course materials were well-structured, and the assignments were challenging but helpful. My only suggestion would be to add more discussions or forums to interact with other students. Overall, I'm satisfied with the course, and I feel more confident in my ability to apply reinforcement learning to my work.

AH
Amira Hassan
EG · Course completed

Wow, just wow! The Reinforcement Learning course at Stanmore School of Business was absolutely fantastic! I'm so grateful to have had the opportunity to learn from such knowledgeable instructors. The course was incredibly engaging, and I loved the enthusiasm and energy that the instructors brought to each lesson. I gained so much practical knowledge and skills, especially in terms of understanding how to design and implement reinforcement learning algorithms. The course materials were top-notch, and the examples were really helpful in illustrating complex concepts. I've already started applying what I learned to my own projects, and I'm excited to see the impact it will have. Thank you, Stanmore School of Business, for an amazing learning experience!

KN
Kaito Nakamura
JP · Course completed

The Reinforcement Learning course was a valuable learning experience for me. As a student from Japan, I appreciated the detailed and structured approach to the subject matter. The instructor provided clear explanations and examples, which helped me understand the concepts of reinforcement learning, including Markov decision processes and Monte Carlo methods. The course materials were of high quality, and the assignments were helpful in reinforcing my understanding. One aspect that I found particularly useful was the discussion of real-world applications of reinforcement learning, such as robotics and game playing. Overall, I'm satisfied with the course, and I feel that it has provided me with a solid foundation in reinforcement learning. However, I would have liked to see more advanced topics covered, such as multi-agent reinforcement learning.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026