Vellore Institute of Technology Online Certificate Programmes in AI and Machine Learning

About

Space of technology has seen extensive development and now artificial intelligence is the latest front on which this change is taking place from media to real estate there is no sector in which ai has changed the landscape of how things work.

AI and machine learning are tools through which people are transforming industries, redefining job roles, and creating new career paths. From natural language understanding and computer vision to recommendation engines and autonomous systems, the promise of AI/ML is vast.

If you are someone who wants to turn mathematical models into predictions, use data to train machines, automate decisions, and build intelligent applications, the Vellore Institute of Technology Online Certificate Programmes in AI and Machine Learning Program is tailored for you.

These online certificate programmes from VIT focus on giving you practical, job-oriented learning in AI and ML. You’ll not only learn algorithms and programming, but also apply them to real‐world datasets and business problems.

Delivered online with flexible access, the program enables working professionals, fresh graduates, and career-switchers to upgrade their skills from anywhere.

Approvals

The certificate programmes in AI and Machine Learning by VIT align with strong institutional credentials:

• VIT is accredited by the National Assessment and Accreditation Council (NAAC) with “A++” grade.
  
  
• Recognised among top universities in India for engineering and technology education.
  
  
• Certificates issued are accepted by industry and useful for professional upskilling.

These credentials ensure that the programme you complete is credible and worthwhile for skill development.

Eligibility

To enrol in VIT Online Certificate Programmes in AI and Machine Learning:

• Candidates must have completed 10+2 / Diploma / Undergraduate degree from a recognised board or university.
  
  
• Basic familiarity with mathematics or programming is preferred though not always mandatory.
  
  
• Fresh graduates, working professionals, and people looking to enter AI/ML domain are all eligible.
  
  
• No entrance test is typically required for certificate enrolment.

Specializations & Course Fees

This programme enables learners to choose focus tracks designed for AI, ML and advanced analytics.

Available Focus Areas / Electives

• Machine Learning & Deep Learning
• Artificial Intelligence & Neural Networks
• Data Analytics & Business Intelligence
• Natural Language Processing (NLP)
• Computer Vision & Image Processing
• Reinforcement Learning & Generative AI
• Domain-based AI (Healthcare, Finance, Marketing)
  
  

Fee Structure

Additional fees may apply (application / exam / certification). Payment options and instalments may be available.

Admission Process

1. Visit VIT Online or the official VIT Certificate Programme portal.
   
   
2. Select the “Certificate Programmes in AI and Machine Learning" (Online).
   
   
3. Fill out the application form online with your academic and personal details.
   
   
4. Upload required documents such as graduation mark sheet (if applicable), ID proof and photograph.
   
   
5. Pay the programme fee using the secure online payment gateway.
   
   
6. Upon verification of documents and payment, receive admission confirmation and login credentials for the learning management system.

The admission procedure is fully digital designed to accommodate learners from all backgrounds and geographies.

Syllabus & Curriculum

The curriculum mixes foundational knowledge, programming practice, and specialised electives with real-world project work.

Core modules may include:

• Introduction to AI & Machine Learning
  
  
• Python Programming for AI/ML
  
  
• Statistics and Probability for Machine Learning
  
  
• Exploratory Data Analysis & Data Visualisation
  
  
• Supervised Learning Algorithms
  
  
• Unsupervised Learning Algorithms
  
  
• Deep Learning & Neural Networks
  
  
• Natural Language Processing (NLP)
  
  
• Computer Vision (Image Processing & Recognition)
  
  
• Reinforcement Learning & Generative Models
  
  
• Domain-specific AI Applications (Healthcare, Finance, Marketing)
  
  
• Capstone Project / Industry Project
  
  

Learners work with real datasets, engage in labs, implement code, and complete a final project to demonstrate end-to-end AI/ML capability.

Placements

While certificate programmes do not guarantee job placements, VIT supports learners with up-skilling and career help.

Frequently Asked Questions