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Certificado Avançado Em Aprendizado De Máquina (Advanced)

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Overview

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Learning outcomes

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Course content

1

Introdução Ao Aprendizado De Máquina

2

Conceitos Básicos De Aprendizado De Máquina

3

Técnicas De Preprocessamento De Dados

4

Análise De Dados Com Python

5

Introdução À Aprendizagem Supervisionada

6

Regressão Linear E Não Linear

7

Classificação Com Máquina De Vetor De Suporte

8

Árvores De Decisão E Florestas Aleatórias

9

Técnicas De Aprendizagem Não Supervisionada

10

Clusterização E Análise De Componentes Principais

11

Redes Neurais Artificiais

12

Introdução Ao Deep Learning

13

Convolutivas E Redes Neurais Recorrentes

14

Técnicas De Otimização Em Aprendizado De Máquina

15

Avaliação De Modelos De Aprendizado De Máquina

16

Seleção De Features E Redução De Dimensionalidade

17

Análise De Séries Temporais Com Aprendizado De Máquina

18

Trabalho Com Dados De Imagens E Vídeo

19

Aplicação De Aprendizado De Máquina Em Dados De Texto

20

Tópicos Avançados Em Aprendizado De Máquina

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

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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 Avançado Em Aprendizado De Máquina course at Stanmore School of Business, and I must say it was an incredible experience! The course content was extremely comprehensive, covering everything from the basics of machine learning to advanced topics like deep learning and neural networks. The instructors were knowledgeable and provided excellent support throughout the course. I was able to apply the practical knowledge and skills I gained from the course to my current project, and the results were outstanding. The course materials were of high quality and relevance, and I appreciated the flexibility of the online platform. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their skills in machine learning.

LH
Leila Hassan
EG · Course completed

I took the Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business, and it was a great learning experience. The course covered a wide range of topics, from supervised and unsupervised learning to reinforcement learning and natural language processing. I found the course materials to be well-structured and easy to follow, and the instructors were responsive to my questions and concerns. One of the things that I appreciated most about the course was the emphasis on practical applications and real-world examples. I was able to work on several projects that helped me gain hands-on experience with machine learning algorithms and techniques. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business was amazing! I was blown away by the quality of the course materials and the expertise of the instructors. The course was so much more than just a theoretical overview of machine learning - it was a deep dive into the practical applications and techniques that are being used in the field today. I loved the fact that the course included so many real-world examples and case studies, which really helped to illustrate the concepts and make them more tangible. I also appreciated the opportunity to work on projects and collaborate with other students - it was a great way to learn from others and get feedback on my own work. Overall, I'm so glad that I took this course, and I would highly recommend it to anyone who is serious about learning machine learning.

AJ
Astrid Jensen
DK · Course completed

I recently completed the Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business, and I must say that it was a very thorough and well-structured course. The course materials were detailed and comprehensive, covering everything from the basics of machine learning to more advanced topics like computer vision and robotics. I appreciated the fact that the course included a mix of theoretical and practical content, which helped to keep me engaged and motivated. The instructors were also very knowledgeable and responsive to my questions, which was great. One area where I felt the course could be improved was in the provision of more feedback on assignments and projects - while the instructors were helpful, I sometimes felt like I was working in a vacuum. Overall, however, I was satisfied with the course and would recommend it to others who are looking to learn about machine learning.





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Recently updated!

May 2026