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Постдипломный Сертификат По Обучению С Подкреплением (Продвинутый) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Advanced Reinforcement Learning

2

Foundations Of Reinforcement Learning

3

Deep Learning For Reinforcement Learning

4

Markov Decision Processes

5

Dynamic Programming For Reinforcement Learning

6

Model-Free Reinforcement Learning

7

Model-Based Reinforcement Learning

8

Policy Gradient Methods

9

Actor-Critic Methods

10

Deep Reinforcement Learning Algorithms

11

Exploration-Exploitation Trade-Offs

12

Off-Policy Reinforcement Learning

13

On-Policy Reinforcement Learning

14

Reinforcement Learning In Robotics

15

Reinforcement Learning In Game Playing

16

Multi-Agent Reinforcement Learning

17

Reinforcement Learning With Function Approximation

18

Transfer Learning In Reinforcement Learning

19

Imitation Learning

20

Inverse Reinforcement Learning

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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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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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 thrilled to have completed the Постдипломный Сертификат По Обучению С Подкреплением (Продвинутый) course at Stanmore School of Business! The curriculum was incredibly comprehensive, covering everything from the fundamentals of reinforcement learning to advanced techniques like deep Q-networks. I was able to apply the knowledge I gained to improve the performance of my company's AI-powered chatbot, resulting in a significant increase in customer engagement. The course materials were top-notch, with engaging video lectures, interactive quizzes, and relevant case studies. I'm so grateful for the opportunity to have learned from such experienced instructors and would highly recommend this course to anyone looking to upskill in AI.

LS
Leandro Silva
BR · Course completed

I gotta say, this course was a game-changer for me. I was a bit skeptical at first, but the way the instructors broke down complex concepts into manageable chunks really helped me understand the material. I loved how we got to work on practical projects, like building a reinforcement learning model from scratch. It was awesome to see how the concepts we learned in class could be applied to real-world problems. The course materials were solid, but I did find some of the readings to be a bit dry at times. Overall, though, I'm really happy with what I learned and would definitely recommend this course to others looking to get into AI.

AP
Ananya Patel
IN · Course completed

Oh my goodness, I'm so enthusiastic about this course! The Постдипломный Сертификат По Обучению С Подкреплением (Продвинутый) course at Stanmore School of Business exceeded all my expectations. The instructors were absolutely fantastic, with a deep understanding of the subject matter and a passion for teaching. I was amazed by how much I learned, from the basics of reinforcement learning to advanced topics like policy gradients and actor-critic methods. The course materials were outstanding, with crystal-clear explanations, beautiful visualizations, and plenty of opportunities for practice. I feel like I can tackle any AI project that comes my way now, and I owe it all to this incredible course. Thank you, Stanmore School of Business, for an unforgettable learning experience!

NB
Nadia Bouazza
MA · Course completed

I approached this course with a critical eye, but I must say that I was impressed by the quality of the instruction and the relevance of the course materials. The Постдипломный Сертификат По Обучению С Подкреплением (Продвинутый) course at Stanmore School of Business provided a thorough grounding in reinforcement learning, with a focus on practical applications and real-world examples. I appreciated the attention to detail and the careful explanations of complex concepts. The instructors were knowledgeable and responsive to questions, and the online discussion forums were a great way to connect with fellow students. While some of the assignments were challenging, I found them to be thought-provoking and helpful in reinforcing my understanding of the material. Overall, I would recommend this course to anyone seeking a comprehensive introduction to reinforcement learning.





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Recently updated!

May 2026