Free preview available
Columbus, United States · Study online with LSBA

Certificado Avanzado En Aprendizaje De Máquina (Advanced)

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
1702 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Introducción A Aprendizaje De Máquina

2

Fundamentos De Aprendizaje Automático

3

Análisis De Datos Para Aprendizaje De Máquina

4

Algoritmos De Aprendizaje Supervisado

5

Modelos De Regresión Lineal

6

Árboles De Decisión Y Bosques Aleatorios

7

Redes Neuronales Artificiales

8

Aprendizaje No Supervisado

9

Clustering Y Análisis De Componentes Principales

10

Preprocesamiento De Datos

11

Evaluación De Modelos De Aprendizaje De Máquina

12

Selección De Características

13

Aprendizaje Por Refuerzo

14

Aprendizaje Profundo

15

Procesamiento De Lenguaje Natural

16

Visión Por Computadora

17

Aprendizaje De Representaciones

18

Problemas De Aprendizaje De Máquina

19

Técnicas De Optimización

20

Aplicaciones De Aprendizaje De Máquina

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

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
From enrol to start
24/7
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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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 Avanzado En Aprendizaje De Máquina' course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill and this course delivered. The practical examples and case studies helped me understand complex machine learning concepts, which I've already applied to improve predictive models at my company. The course materials were top-notch, and I appreciated the flexibility of the online format. I've achieved my learning goals and more - I'm excited to take on new challenges in my career!

LH
Leila Hassan
EG · Course completed

I found the 'Certificado Avanzado En Aprendizaje De Máquina' course to be a valuable resource for my professional development as a data analyst in Egypt. The course content was comprehensive and well-structured, covering both the theoretical foundations and practical applications of machine learning. I appreciated the emphasis on real-world examples and the opportunity to work on projects that simulated actual industry scenarios. While some topics were more challenging than others, the support from instructors and peers was helpful. Overall, I'm satisfied with the course and feel more confident in my ability to apply machine learning techniques in my work.

KN
Kaito Nakamura
JP · Course completed

Wow, what an amazing learning experience! The 'Certificado Avanzado En Aprendizaje De Máquina' course at Stanmore School of Business exceeded my expectations in every way. As a software engineer in Japan, I was looking to expand my skill set and this course provided the perfect opportunity. The instructors were knowledgeable and enthusiastic, and the course materials were engaging and easy to follow. I loved the hands-on approach, which included building and deploying my own machine learning models. The course community was also super supportive and motivating - we shared knowledge, resources, and feedback, which enhanced my learning experience. I'm already applying the skills I gained to develop innovative solutions at my company!

RS
Rafaela Silva
BR · Course completed

I recently completed the 'Certificado Avanzado En Aprendizaje De Máquina' course at Stanmore School of Business, and I must say it was a great investment of my time and effort. As a researcher in Brazil, I was interested in gaining a deeper understanding of machine learning techniques and their applications in my field. The course provided a thorough introduction to the subject, covering topics such as supervised and unsupervised learning, neural networks, and deep learning. I appreciated the detailed explanations, examples, and exercises, which helped me grasp complex concepts. The course materials were well-organized and easy to access, and the instructors were responsive to questions and feedback. While some areas could be improved, overall I'm satisfied with the course and feel more confident in my ability to apply machine learning techniques in my research.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026