Machine Learning
This course focuses on the practical aspects of machine learning, including data analysis, model training, and deployment. You'll learn how to preprocess data, select appropriate algorithms, and evaluate model performance. Additionally, the course covers MLOps practices for deploying and maintaining machine learning models in production environments.
12-Week Program
Expert-Led + LMS
6+ Live Projects
Industry Verified
A practical path into Machine Learning.
This course focuses on the practical aspects of machine learning, including data analysis, model training, and deployment. You'll learn how to preprocess data, select appropriate algorithms, and evaluate model performance. Additionally, the course covers MLOps practices for deploying and maintaining machine learning models in production environments.
12 weeks
5
29+
6+
Program Focus
What this track is built around
Introduction to Machine Learning
Supervised Learning Algorithms
Unsupervised Learning
Deep Learning Fundamentals
Advanced Machine Learning Topics
Course Curriculum
Comprehensive learning path designed by industry experts
Module 1: Introduction to Machine Learning
Module 2: Supervised Learning Algorithms
Module 3: Unsupervised Learning
Module 4: Deep Learning Fundamentals
Module 5: Advanced Machine Learning Topics
Hands-On Projects
Our Real-Time projects help you gain knowledge and enhance your skills.
Scroll horizontally to explore all projects.
CERTIFICATIONS
On completion of a program each participant gets a course completion, internship and outstanding performance certificates.
Training Partners
We collaborate with leading organizations to provide you with the best learning experience.
Frequently Asked
Questions
Everything you need to know about our internship program. Can't find the answer you're looking for? Reach out to our team.
Why is machine learning important?
What are the career prospects in machine learning?
Do I need prior experience in programming or mathematics?
Will I receive a certificate after completing the internship?
What kind of projects will I work on during the internship?
Still have questions?
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