Diploma in Machine Learning - Univista EdTech
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Course Overview
The Diploma in Machine Learning (ML) is designed to provide learners with the technical knowledge and practical experience needed to build, train, and deploy machine learning models. Covering supervised, unsupervised, and advanced learning techniques, this program equips professionals with the tools to solve real-world problems using data-driven algorithms.
11 Months
INR 1,00,000
Intake: Year around admissions
Key Highlights
100% Online with hands-on coding and projects
Mentorship from AI/ML experts
Capstone project: Build and deploy a machine learning solution
Globally recognized certification
Exposure to ML use-cases in finance, healthcare, e-commerce, and more
Skills You Will Learn
Foundations of Machine Learning
Supervised & Unsupervised Learning
Neural Networks & Deep Learning
Feature Engineering & Model Optimization
Natural Language Processing (NLP) basics
Data Preprocessing & Visualization
Model Deployment & Evaluation
Tools You’ll Master
Course Outcomes
Learning Outcomes
- By completing this diploma, you will be able to:
- Understand and apply key ML algorithms and models
- Train and evaluate machine learning systems using real datasets
- Implement deep learning solutions for image and text data
- Deploy ML models into production environments
- Use ML for predictive analytics and decision-making
Key Outcomes
- Career Roles: Machine Learning Engineer, Data Scientist, AI Specialist, Research Analyst, NLP Engineer
- Industries: Technology, Finance, Healthcare, Retail, Manufacturing, Startups
Course Curriculum
Module 1
Introduction to Machine Learning & AI Foundations
Module 2
Python for Machine Learning
Module 3
Supervised Learning – Regression & Classification
Module 4
Unsupervised Learning – Clustering & Dimensionality Reduction
Module 5
Neural Networks & Deep Learning Basics
Module 6
Natural Language Processing (NLP) Fundamentals
Module 7
Model Evaluation, Tuning & Deployment
Module 8
Capstone Project – End-to-End ML Application
Why You Should Join this Course
- Master supervised and unsupervised learning techniques.
- Hands-on projects with Scikit-learn and TensorFlow.
- Learn predictive modeling and algorithm building.
₹1,00,000
Admissions Open
Eligibility
- Minimum Qualification: 10+2 (High School) with mathematics background preferred
- Preferred: Bachelor’s degree in computer science, IT, engineering, mathematics, or related fields
- Suitable for professionals in data science, analytics, or software development
Admission Criteria
- Submit online application form via Univista EdTech portal
- Upload academic transcripts & ID proof
- Admission confirmed after eligibility check and fee payment
