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Columbus, United States · Study online with LSBA

Certificado Avançado Em Aprendizado De Máquina

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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

Modelos De Aprendizado Supervisionado

5

Modelos De! Aprendizado Não Supervisionado

6

Redes Neurais Artificiais

7

Técnicas De Otimização

8

Aprendizado Por Reforço

9

Análise De Dados Com Aprendizado De Máquina

10

Avaliação De Modelos De 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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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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
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Self-paced · Certificate included · 24/7 access · 60-second start.
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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 blown away by the Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business! As a data scientist from the United States, I was looking to enhance my skills in machine learning, and this course exceeded my expectations. The course content was incredibly comprehensive, covering everything from supervised and unsupervised learning to deep learning and neural networks. I particularly appreciated the practical examples and case studies that helped me understand how to apply these concepts to real-world problems. The course materials were top-notch, and the instructors were knowledgeable and responsive. I've already started applying the skills I learned to my current project, and I'm excited to see the impact it will have. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in machine learning.

LH
Leila Hassan
EG · Course completed

I recently completed the Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business, and I must say it was a great experience. As a beginner in machine learning, I was a bit skeptical at first, but the course content was well-structured and easy to follow. The instructors were helpful, and the course materials were relevant and up-to-date. I liked that the course included a mix of theoretical and practical lessons, which helped me understand the concepts better. One thing that I found particularly useful was the section on natural language processing - it really helped me understand how to work with text data. Overall, I'm happy with the course, and I feel like I've gained a good foundation in machine learning. My only suggestion would be to add more advanced topics, but overall, it was a great course.

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'm a software engineer from Japan, and I was looking to learn more about machine learning, and this course delivered. The course content was incredibly detailed, and the instructors were super knowledgeable. I loved that the course included a lot of hands-on exercises and projects, which helped me practice what I learned. The course materials were also very comprehensive, with lots of resources and references for further learning. One thing that really stood out to me was the section on computer vision - it was so cool to learn about how to build image classification models! Overall, I'm extremely satisfied with the course, and I would highly recommend it to anyone interested in machine learning.

ÉM
Élise Martin
FR · Course completed

I've just finished the Certificado Avançado Em Aprendizado De Máquina course at Stanmore School of Business, and I'm really happy with what I learned. As a data analyst from! France, I was looking to improve my skills in machine learning, and this course helped me achieve that. The course content was well-organized, and the instructors were very helpful. I appreciated that the course included a lot of examples and case studies, which helped me understand how to apply the concepts to real-world problems. The course materials were also very good, with lots of additional resources and references. One thing that I found particularly useful was the section on clustering and dimensionality reduction - it really helped me understand how to work with complex datasets. Overall, I'm satisfied with the course, and I would recommend it to anyone looking to learn more about machine learning.





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Recently updated!

May 2026