

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.
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.
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.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
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
Contactez-nous
Contactez-nous
Contactez-nous
Contactez-nous
Questions Fréquemment Posées
Questions Fréquemment Posées
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?

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


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


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