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London, United Kingdom · Study online with LearnUNI

Advanced Certificate in Reinforcement Learning (Advanced)

This certificate course covers advanced concepts in reinforcement learning, including deep reinforcement learning techniques and their applications in various industries
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Introduction To Reinforcement Learning

2

Foundations Of Reinforcement Learning

3

Markov Decision Processes

4

Value Based Methods

5

Policy Based Methods

6

Actor Critic Methods

7

Deep Reinforcement Learning

8

Exploration Strategies

9

Off Policy Methods

10

On Policy Methods

11

Multi Agent Reinforcement Learning

12

Reinforcement Learning In Robotics

13

Reinforcement Learning In Finance

14

Reinforcement Learning In Healthcare

15

Partial Observability

16

Transfer Learning

17

Meta Learning

18

Imitation Learning

19

Unsupervised Reinforcement Learning

20

Reinforcement Learning With Function Approximation

Career Path

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Key facts

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Why this course

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People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 LearnUNI
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 thrilled to have completed the Advanced Certificate in Reinforcement Learning (Advanced) at Stanmore School of Business! The course exceeded my expectations in every way. The instructor's expertise and the quality of the materials were top-notch. I gained a deep understanding of reinforcement learning algorithms and their applications, which has already improved my work in AI research. The hands-on projects and case studies were incredibly valuable, allowing me to apply theoretical concepts to real-world problems. I highly recommend this course to processionals seeking to advance their skills in this field.

LH
Leila Hassan
EG · Course completed

Honestly, I was a bit skeptical about taking an online course, but the Advanced Certificate in Reinforcement Learning (Advanced) at Stanmore School of Business really delivered. The course content was engaging and easy to follow, even for someone like me who doesn't have a strong background in math. I loved the examples of how reinforcement learning is used in robotics and game development - it made the concepts feel more tangible and relevant. The discussion forums were also super helpful, as I got to connect with other students and learn from their experiences. My only suggestion would be to add more video lectures, but overall, I'm really happy with what I learned and would recommend it to others.

CR
Cristian Rodriguez
BR · Course completed

Wow, just wow! The Advanced Certificate in Reinforcement Learning (Advanced) at Stanmore School of Business was an incredible journey. I've never felt so motivated and excited to learn. The course materials were exceptional - the readings, the videos, the quizzes... everything was so well-structured and informative. I particularly enjoyed the section on deep reinforcement learning, which opened my eyes to the possibilities of using these techniques in my own projects. The instructor was also super responsive and provided excellent feedback on our assignments. I've already started applying what I learned to my work in computer vision, and I can see the difference it's making. If you're interested in reinforcement learning, don't hesitate - this course is the way to go!

RK
Rahul Kapoor
IN · Course completed

I must say, the Advanced Certificate in Reinforcement Learning (Advanced) at Stanmore School of Business was a thoroughly enjoyable and enriching experience. As someone who works in the field of artificial intelligence, I was looking to enhance my knowledge of reinforcement learning, and this course definitely delivered. The course content was comprehensive and well-organized, covering a wide range of topics from the basics of Markov decision processes to more advanced techniques like policy gradients. I appreciated the emphasis on practical applications and the use of real-world examples to illustrate key concepts. The assignments were also challenging and helpful in reinforcing my understanding of the material. Overall, I'm very satisfied with the course and would recommend it to anyone seeking to improve their skills in this area.





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Recently updated!

April 2026