Inscrire

À propos

Faculté

Pôle savoir

Machine Learning

Machine Learning

The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning.

The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning.

Parlez à un conseiller

Parlez à un conseiller

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Duration

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Duration

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Skills Gained

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Skills Gained

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Learning Methodology

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Learning Methodology

Aperçu du programme

Aperçu du programme

The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning. Through a combination of theoretical learning, hands-on coding exercises, and real-world projects, participants will gain a deep understanding of machine learning and its applications.

The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning. Through a combination of theoretical learning, hands-on coding exercises, and real-world projects, participants will gain a deep understanding of machine learning and its applications.

Start Date

Duration

30 Hours

Tuition Fee

Contact the Advisor

13 juin 2025

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Avantages clés

Avantages clés

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

Course Outline

Course Outline

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

Introduction to Machine Learning

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

Data Preprocessing and Exploration

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

Supervised Learning Algorithms

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

Unsupervised Learning Algorithms

Unsupervised Learning Algorithms

Model Evaluation and Validation

Model Evaluation and Validation

Neural Networks and Deep Learning

Neural Networks and Deep Learning

Computer Vision

Computer Vision

Model Deployment and Ethics

Model Deployment and Ethics

Advanced Topics and Future Trends

Advanced Topics and Future Trends

Introduction to Machine Learning

Data Preprocessing and Exploration

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Model Evaluation and Validation

Neural Networks and Deep Learning

Computer Vision

Model Deployment and Ethics

Advanced Topics and Future Trends

Compétences acquises

Compétences acquises

Key concepts and principles of machine learning.

Proficiency in programming languages.

Ability to preprocess, clean and transform data for machine.

Knowledge of deep learning and neural networks.

Proficiency in tuning hyperparameters.

Qui peut postuler

Qui peut postuler

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

Critères d'admissibilité

Critères d'admissibilité

Learners need to possess an undergraduate degree or a high school diploma. 

Possess an undergraduate degree or a high school diploma.

Prérequis

Knowledge on Statistics and Python programming are required to enroll in the course.

Prochaines sessions et horaire

Prochaines sessions et horaire

Enroll

Summer Session

12 févr. 2025

Register before

11 févr. 2025

Enroll

Summer Session

12 févr. 2025

Register before

11 févr. 2025

Fall Session

13 juin 2025

Register before

12 juin 2025

Fall Session

13 juin 2025

Register before

12 juin 2025

Remind

Winter Session

8 oct. 2025

Register before

7 oct. 2025

Remind

Winter Session

8 oct. 2025

Register before

7 oct. 2025

Contactez-nous

Contactez-nous

20th JuneStart Date

Stand alone Certification

Enroll for this

Certification

Enroll

20th JuneStart Date

Stand alone Certification

Enroll for this

Certification

Enroll

Three Certifications Bundle

AttractiveBundle price for three

Get Bundle pricing

Get Bundle

Three Certifications Bundle

AttractiveBundle price for three

Get Bundle pricing

Get Bundle

Enroll for this
Certification

20th June
Start Date


Stand alone Certification

Enroll

Get Bundle
pricing

Get Bundle

Three Certifications
Bundle

Attractive
Bundle price for three

Contactez-nous

Contactez-nous

FAQs

FAQs

About the Instructor?

Is there any Voucher to take the Official certification?

I need help in choosing the correct courses for my job role. Can you assist?

When do I get the MCIT Certificate?

Y a-t-il des prérequis pour s'inscrire à ces programmes ?

Is there any Voucher to take the Official certification?

Ces programmes conviennent-ils aux débutants ?

I need help in choosing the correct courses for my job role. Can you assist?

Comment le contenu du programme est-il structuré ?

When do I get the MCIT Certificate?

Quels sont les critères d'admission pour ce programme ?

Quels parcours professionnels puis-je envisager après avoir terminé ces programmes ?

Quelles méthodes d'enseignement sont utilisées dans vos programmes ?

Y a-t-il des occasions d'acquérir une expérience pratique ou des stages ?

Puis-je étudier à temps partiel ou en ligne ?

Que comprend le programme de test de logiciels ?

About the Instructor?

montreal-college-of-information-technology-footer

Collège de technologie de l'information de Montréal

Collège des technologies de l’information de Montréal

200-1255 Robert-Bourassa Blvd.

Montreal, Quebec H3B 3B2

+1 514 312 2383

[email protected]

montreal-college-of-information-technology-footer

Montreal College of Information Technology

Collège des technologies de l’information de Montréal

200-1255 Robert-Bourassa Blvd.

Montreal, Quebec H3B 3B2

+1 514 405 6874

[email protected]

montreal-college-of-information-technology-footer

Montreal College of Information Technology

Collège des technologies de l’information de Montréal

200-1255 Robert-Bourassa Blvd.

Montreal, Quebec H3B 3B2

+1 514 405 6874

[email protected]