Master Data Science & AI

Certificate in Artificial Intelligence

We begin by first training you in fundamental skills in Machine Learning and Data Science. Advanced modules enable you to develop deep expertise in a specialisation of your choice - Artificial Intelligence, or Data Science and Engineering.

Advanced topics in AI include natural language processing, generative models, and reinforcement learning. At the end of your AI specialisation program, you will be a master in creating AI models in any domain you choose, such as medicine, finance and e-commerce.

Advanced topics in Data Science
and Engineering include large-data, databases, cluster devops, and performant applications. Upon completion, you will be a wizard at building cutting-edge Data Science and AI applications with complex embedded models, and state-of-the-art AI pipelines.

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Learn the details of our first module
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Starts

To be decided
Self-paced

Duration

12 Months

Format

Online-Live
Online

Fee

₹2,90,000

(Interest free EMI available)

Registration closes

To be decided

Program overview

Starting with fundamental skill building, this program enables you to develop deep expertise in a specialisation of your choice - Artificial Intelligence (AI),  Data Science and Engineering (DSE). The AI track gives you skills and expertise in one or more topics in AI such as convolutional neural networks, natural language processing, generative models, and reinforcement learning. The DSE track equips you with expertise in data analytics, modeling, large-data, databases, cluster dev-ops, and performant applications. Both tracks train you in applied skills via projects during every module and a Capstone Project at the end.

Who should apply

This program is designed for both working professionals and students who are in the third year of college and higher. If you are willing to invest time and effort into becoming an expert in AI or DSE, you should apply. The program requires prior experience in Python programming, and Python libraries such as numerical python (NumPY) and Pandas. The program also requires you to be familiar with basic (high-school or first-year of college level) linear algebra and statistics. If you do not meet these prerequisites, then look up our 5-week Foundations Program.

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Course outcomes

At the end of your AI specialisation program, you will be a master in creating AI models in any domain you choose, such as medicine, finance and e-commerce. Similarly at the end of the DSE specialization, you will be a wizard at both building and deploying cutting-edge Data Science and AI applications with complex embedded models, and also state-of-the-art AI pipelines.

Topics covered

Program Structure

Live online classes
1. Live Online Classes

Bi-weekly lessons with labs and quizzes

Mentorship
2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learned

Capstone
4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Curriculum

Path

Download our Brochure

Not ready to enroll but want to learn more? Download the certificate brochure to review program details.

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Financial Assistance

Interest-free EMI

Interest-free EMIs are available for everyone. Apply easily through our banking partner once you complete the application process.

Scholarships for the best

Univ.AI Scholarships are available for the most promising candidates, based on performance in our application test, and your financial needs. Our scholarships will pay part of your tuition fee.

Income Sharing Agreement

Pay a sum equivalent to 30% your course fee at the start. After course completion, pay in instalments of 15% of your monthly salary for a period of 24 months to be free of any financial obligation to us. You payments are capped at the course fee (not including the sum paid upfront), or 24 months from your first payment, whichever happens earlier. Speak to a counsellor to determine eligibility.

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And we'll give you both Amazon vouchers worth ₹ 5,000

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Frequently asked questions

Who should take this program?

Graduates of this program are expected to obtain top-AI jobs as an AI Scientist or AI Engineer. This is a program that requires significant investment of effort and time. If you are a highly motivated college student or professional, and interested in a stellar AI career, you should also consider this program.

I already know basic AI and Data Science. Can I still take this program?

You are better off taking our Advanced AI Program. We test you before admitting you to our Advanced AI program. If you do not qualify, then you can still take this program.

I am an experienced developer and I wish to pivot into AI. Can I take this program?

Yes, absolutely, provided you meet the prerequisites for the program. As part of the application process, we have an assessment examination to evaluate your preparedness for the program. You’ll need a threshold score in the test in order to qualify for admission.

What kind of career may I expect after completing this Program?

You will be fully qualified to apply for the best, highly compensated positions in Machine Learning and AI. Long before you complete the program, we’ll have you meet and get introduced to opportunities at top companies, to ensure that you get the best employment possible.

I am interested in higher studies in AI. Should I take this program?

This program is an ideal stepping stone to a top tier university. The program will equip you to read, interpret, and apply concepts in most leading-edge academic papers; and enable you to conduct original research in your area of interest. Our internationally renowned faculty will fully support your applications to major graduate programs.

I do not have a technical background? Can I take this program?

You can quickly apply for this program, and take the entrance test. If you do not qualify, we suggest you begin with our “Foundations for AI” program. It is a short 5-week program that will bring you up to speed with the requirements for this program.

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