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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

Técnicas De Previsão

3

Redes Neurais Artificiais

4

Aprendizado De Máquina Não Supervisionado

5

Técnicas De Mineração De Dados

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.

60 sec
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Course access
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 recently completed the 'Aprendizado De Máquina' course at Stanmore School of Business and I must say, it was an incredible experience! The course content was comprehensive, covering everything from the basics of machine learning to advanced techniques. I was able to apply the knowledge I gained to my current project at work, which involved building a predictive model using scikit-learn. The course materials were top-notch, with plenty of examples, case studies, and exercises to help solidify my understanding. I was particularly impressed with the instructor's ability to break down complex concepts into easy-to-understand language. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to learn machine learning.

LH
Leila Hassan
EG · Course completed

I took the 'Aprendizado De Máquina' course to improve my skills in data analysis and machine learning. The course was really helpful in achieving my learning goals, especially in understanding the different algorithms and techniques used in machine learning. I liked how the course included plenty of practical examples and case studies, which made it easier to understand the concepts. One thing that I found particularly useful was the section on feature engineering, which I was able to apply to a project I was working on. The course materials were well-organized and easy to follow, although I did find some of the exercises to be a bit challenging. Overall, I'm happy with the course and would recommend it to others, but I do think that some of the topics could be covered in more depth.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Aprendizado De Máquina' course at Stanmore School of Business was amazing! I was a bit skeptical at first, but the course completely exceeded my expectations. The instructor was knowledgeable and enthusiastic, and the course materials were incredibly comprehensive. I loved how the course covered both the theoretical and practical aspects of machine learning, with plenty of examples and exercises to help reinforce my understanding. One of the things that really stood out to me was the section on deep learning, which I found to be really interesting and relevant to my current work. I was able to apply the knowledge I gained to a project I was working on, and the results were fantastic. I would definitely recommend this course to anyone looking to learn machine learning - it's worth every penny!

RJ
Rasmus Jensen
DK · Course completed

I enrolled in the 'Aprendizado De Máquina' course to gain a deeper understanding of machine learning and its applications. The course was well-structured and easy to follow, with a good balance of theory and practice. I appreciated how the course covered a range of topics, from supervised and unsupervised learning to neural networks and deep learning. The course materials were of high quality, with plenty of examples and case studies to illustrate the concepts. One thing that I found particularly useful was the section on model evaluation, which I was able to apply to a project I was working on. The instructor was knowledgeable and responsive to questions, and the discussion forum was active and helpful. Overall, I'm satisfied with the course and would recommend it to others, although I do think that some of the topics could be covered in more depth.





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Recently updated!

May 2026