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Certificado De Mestre Em Aprendizado Por Reforço (Avançado) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Introdução Ao Aprendizado Por Reforço

2

Fundamentos De Aprendizado Por Reforço

3

Algoritmos De Aprendizado Por Reforço

4

Aprendizado Por Reforço Em Ambientes Dinâmicos

5

Representação Do Estado

6

Aprendizado Por Reforço Com Recompensas Parciais

7

Aprendizado Por Reforço Com Múltiplos Agentes

8

Técnicas De Exploração

9

Aprendizado Por Reforço Em Jogos

10

Aprendizado Por Reforço Em Robótica

11

Aprendizado Por Reforço Em Sistemas De Controle

12

Aprendizado Por Reforço Com Dados De Grande Escala

13

Aprendizado Por Reforço Em Redes Neurais

14

Técnicas De Aprendizado Por Reforço Avançado

15

Aprendizado Por Reforço Em Sistemas Complexos

16

Aprendizado Por Reforço Com Restrições

17

Aprendizado Por Reforço Em Ambientes Paralelos

18

Aprendizado Por Reforço Com Modelos Probabilísticos

19

Aprendizado Por Reforço Em Sistemas De Tomada De Decisão

20

Aprendizado Por Reforço Com Dados De Sequência

Career Path

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Key facts

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Why this course

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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
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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 recently completed the Certificado De Mestre Em Aprendizado Por Reforço (Avançado) course at Stanmore School of Business, and I must say it was an incredible experience! The course content was very comprehensive and helped me achieve my learning goals by providing a deep understanding of reinforcement learning. I gained practical knowledge on how to implement Q-learning and SARSA algorithms, which I was able to apply to a project at work. The course materials were of high quality and relevance, and the instructors were very supportive. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in reinforcement learning.

CB
Camille Bernard
FR · Course completed

I found the Certificado De Mestre Em Aprendizado Por Reforço (Avançado) course to be quite challenging, but ultimately very rewarding. The course covered a wide range of topics, from the basics of reinforcement learning to more advanced techniques like deep reinforcement learning. I appreciated the emphasis on practical applications, and the assignments were very helpful in reinforcing my understanding of the material. One thing that I found particularly useful was the discussion of exploration-exploitation trade-offs, which I was able to apply to a personal project. The course materials were well-organized and easy to follow, and the instructors were responsive to questions. Overall, I'm glad I took the course, and I would recommend it to others with a strong foundation in machine learning.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado De Mestre Em Aprendizado Por Reforço (Avançado) course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course completely exceeded my expectations. The instructors were knowledgeable and enthusiastic, and the course materials were top-notch. I loved the focus on hands-on learning, and the assignments were really fun and challenging. I gained a ton of practical skills, including how to implement policy gradients and actor-critic methods. The course also covered some really advanced topics, like imitation learning and transfer learning, which I found fascinating. Overall, I'm so glad I took the course, and I would highly recommend it to anyone interested in reinforcement learning.

RK
Rahul Kapoor
IN · Course completed

I completed the Certificado De Mestre Em Aprendizado Por Reforço (Avançado) course at Stanmore School of Business, and I must say it was a great learning experience. The course content was well-structured and easy to follow, and the instructors were very supportive. I appreciated the emphasis on theoretical foundations, as well as the practical applications of reinforcement learning. The course materials were of high quality, and the assignments were very helpful in reinforcing my understanding of the material. One thing that I found particularly useful was the discussion of Markov decision processes, which I was able to apply to a research project. Overall, I'm satisfied with the course, and I would recommend it to others with a strong foundation in mathematics and computer science.





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Recently updated!

May 2026