Machine Learning Certification Course

Follow this master program in Machine Learning to learn the scientific study of algorithms and statistical models that computer systems use. Master algorithms like using regression, clustering & classification. Start from scratch and learn from industry experts about how a Machine Learning Engineer impacts the world.

1 Weeks

Live online 1:1, Live-Online Cohort

Beginners & Intermediate

Download Syllabus

About the Program

40 Hours of Online Learning

Acquire premium content through live classes and bootcamps.

Upgrade your skills

Get better clarity about the field from Industry Experts.

Get Certification

Get certified and work on projects to build a strong portfolio.

Lifetime Learning

You get lifetime access to the contents of the course.

Your Syllabus

Download Syllabus

Introduction to Machine Learning

1 Hours

Statistics and Probability

4 Hours

Fundamentals of Python Programming

4 Hours

Advance Python Programming

6 Hours

Classical Machine Learning

8 Hours

Natural Language Processing

2 Hours

Advance Machine Learning

5 Hours

Skills You’ll Learn

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Learning Management System (LMS)

1:1 Coaching with Industry Experts

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Meet Your Coaches

Our Solution work, because it’s designed and Delivered by 2000+ top industry professionals

Ruble Joseph

Vice President

eClerx

Mirza Rahim Baig

Analytics Lead

Flipkart

Kunaal Naik

Marketing Operations Advisor

Dell EMC

20,000+ Happy and Satisfied Learners

4.5

( 960+ reviews )

4.5

( 19+ reviews )

4.5

( 16+ reviews )

Siddhant Pant

It has been a very good experience during this time of lockdown. I got to learn so much about ML, I have been able to build a strong understanding of the basis of Machine Learning.

Soumya Khanduri

The session was amazing, coach Rahul explained the concepts in a very simple manner. I would recommend this to fellows who are starting their careers in machine learning.

Sahil Prasad

The session was easy to understand as the coach explained the ML with a small live example. It helped us to understand the implementation of ML. made things clear on how Python and ML go hand in hand.