Machine Learning

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Machine Learning

Master industry-standard tools and techniques such as Search Engine Optimization (SEO), Social Media Marketing, Google Ads, Conversion Optimization, Google Analytics, digital content marketing, marketing automation, and front-end web development.

Skills gained : Modular thinking, Programming basics,
Algorithimic thinking, Problem solving, Debugging

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Machine Learning

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

Duration

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

Skills Gained

Java, ASP,
Microsoft .Net, SQL server
Object Oriented
Programming, ORM,

Tools

Course Fee ; 2500
Bundle price available
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vouchers

Pricing

Program Overview

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.

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Start Date

Duration

30 Hours

Tuition Fee

Contact the Advisor

Jun 13, 2025

Key Benefits

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.

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.

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

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

Skills gained

Key concepts and principles of machine learning.

Proficiency in programming languages.

Ability to preprocess, clean and transform data for machine.

Understanding of various machine learning algorithms.

Proficiency in applying supervised and unsupervised learning

Experience in using popular machine learning frameworks.

Knowledge of deep learning and neural networks.

Natural language processing (NLP) techniques.

Knowledge of time series analysis.

Experience in evaluating and selecting appropriate machine.

Instructor Spotlight

Connect with our instructors at an event . Build your intelligent network .

Marwan Habshi
EPM & Data Analytics Delivery Lead
A fleeting Industry expert with over a decade in Business Intelligence and Analytics spent primarily in Tableau BI applications, Microsoft Power BI, OAC, PBCS, Data management, OBIEE and Essbase mostly in the big four consulting firms. An MBA and IT graduate who combines business goals with technological prowess. Dispenses his passion for knowledge & learning through teaching Business Intelligence & Data methodologies to ardent aspirants.
Ahmad Mousavi
Cloud Architect
After a successful stint with Quebec's top game developer, Ubisoft as a virtualisation architect, Ahmad stepped aside to pursue his passion for teaching & developing IT infrastructure for medium sized enterprises, ground up. A product of Iranian university. He is the head of IT infrastructure & facility at Montreal College of Information Technology. A key resource in career pathway & mentorship for aspiring virtualisation experts.
Mirna Mardini
Software Engineer
Mirna Mardini, based in Montreal, Canada, is an accomplished developer and instructor with a diverse background spanning various roles and industries. Currently working at Tema Solutions as an ERP Developer/ Divalto, she excels in developing new features, installing functionality, and providing technical support.
Sridharan Kilvidi
Sr. Tester
Sridaran is a Software Test Consultant and Trainer with 8 years of teaching experience in private colleges in Montreal and Toronto. With over 15 years of professional experience in Programming and QA, Sridaran has successfully managed Software Quality Assurance efforts for enterprise applications in finance, telecommunications, and service business domains. Passionate about sharing expertise and guiding aspiring professionals in the field of software testing.
Mojtaba Ghasem
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
Rebecca Spagnolo
Sr. SAP Functional Analyst and Trainer
With a background in Business Administration from John Molson's School and a information systems management at Concordia University has had a silver streak through some of the industry's best, including Radio Canada, Dotmar & Motovan Corporation, Rebecca's grip on the field is indomitable. Associated with MCIT for over 10 years, Her insights into career patterns and day to day on the job activities lend mentor guidance to aspiring SAP professionals.