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.

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Start Date
Start Anytime
Start Date
Start Anytime
Program Duration

10 months

Mon & Wed (18:00 - 21:00 hrs)
Program Duration

10 months

Mon & Wed (18:00 - 21:00 hrs)
Learning Format

Intructor-Led (Live Project-Based Learning)

Individuals who want structure & accountability

Evenings, 2x per week (6-9 PM)

Live classes, group projects, custom labs, 1:1 support

Mentor-Guided (Self-Paced + Projects)

Motivated learners who want flexible learning with support

Flexible + weekly mentor
check-in

Guided labs, weekly mentor sessions, TA support, real projects

Self-Paced (Curated Path – Tech Pack)

Independent learners exploring a career path

Start Anytime

MCIT LMS curated path, one-time mentor onboarding, tools access

Intructor-Led (Live Project-Based Learning)

Individuals who want structure & accountability

Evenings, 2x per week (6-9 PM)

Live classes, group projects, custom labs, 1:1 support

Mentor-Guided (Self-Paced + Projects)

Motivated learners who want flexible learning with support

Flexible + weekly mentor check-in

Guided labs, weekly mentor sessions, TA support, real projects

Self-Paced (Curated Path – Tech Pack)

Independent learners exploring a career path

Start Anytime

MCIT LMS curated path, one-time mentor onboarding, tools access

Program Overview

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.

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.

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

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Introduction to Machine Learning

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Data Preprocessing and Exploration

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Supervised Learning Algorithms

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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

Skills gained

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.

Eligibility Criteria

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

Possess an undergraduate degree or a high school diploma.

Prerequisites

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

Upcoming sessions & Schedule

Upcoming sessions

& Schedule

Fall

Apply Early

Talk to an Advisor

Fall

Apply Early

Talk to an Advisor

Winter

Apply Early

Feb 13, 2026

Register Before

Jan 16, 2026

Winter

Apply Early

Feb 13, 2026

Register Before

Jan 16, 2026

Summer

Apply Early

Jun 13, 2026

Register Before

May 15, 2026

Summer

Apply Early

Jun 13, 2026

Register Before

May 15, 2026

Take action

Get Certified

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 Now

Three Certifications
Bundle
Attractive
Bundle price for three

Get Bundle
pricing

Get Bundle

FAQs

FAQs

What is Machine Learning, and how does it relate to Artificial Intelligence?

What does a Machine Learning Engineer do?

What career opportunities will I have after completing the Machine Learning Certificate?

Which programming language is best for Machine Learning?

Does Machine Learning require coding skills?

Will missing a live class affect my learning progress?

Does Machine Learning course include a sandbox environment for practice?

Is Machine Learning hard to learn?

Are there any prerequisites for enrolling in these programs?

What does a Machine Learning Engineer do?

Are these programs suitable for beginners?

What career opportunities will I have after completing the Machine Learning Certificate?

How is the program content structured?

Which programming language is best for Machine Learning?

What is the admission Criteria for this Program?

Does Machine Learning require coding skills?

What career paths can I pursue after completing these programs?

Will missing a live class affect my learning progress?

What teaching methods are used in your programs?

Does Machine Learning course include a sandbox environment for practice?

Are there opportunities for practical experience or internships?

Is Machine Learning hard to learn?

Can I study part-time or online?

What does the software testing program entail?

What is Machine Learning, and how does it relate to Artificial Intelligence?