Start learning AI, Machine Learning and Data Science - LIVE with Harvard Professors at very low costs

Learn ML, AI, & Data Science LIVE with elite Faculty from Harvard & UCLA at Univ.AI, a premier global online tech-institution.

‍Prof. Pavlos Protopapas, Founding Faculty, Univ.AI and Scientific Program Director, Institute for Applied Computational Science (IACS) at Harvard University

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‍Admissions open for Data Science: X - A unique program for Data Science beginners. 

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Get your first data science job in 10-12 weeks 
  • Program: Data Science: X
  • Level: Beginner
  • Program Delivery: LIVE, online
  • Lead Instructor: Dr. Rahul Dave, former faculty, Harvard University 
  • Class Timings: Evenings on Weekdays or on weekends
  • Prerequisites: Python Programming and very basic ML 
  • Duration: 10 to 12 Weeks
  • Program Begins: January 25, 2021

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Free Course Prep: LIVE with Harvard Faculty [Python and Basic Machine learning]‍
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Learn like a Harvard student, at a fraction of the cost!

Harvard University Univ.AI
Skills for the most sought after jobs Yes Yes
Intensive Mentorship Yes Yes
Live interactive Classes Online (during covid) Online
Globally renowned faculty Yes Yes
Hands-on Projects Yes Yes
TAs per student Low High
Cutting-edge Research Opportunities Yes Yes
Affordable Programs $$$$ Less than 5%
Apply Now

About the program - Data Science: X

  • Learn how to get, clean, and process data from different sources
  • Gain skills in exploratory data analysis, visualization, and communication
  • Learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics


DSE: 1
  • Http and scraping
  • Exploratory Data Analysis
  • Visualisation basics
  • SQL (and sqlite, with pandas)
  • Viz for communication. Dashboards.
  • Data Analysis pipelines
  • Using (not theory of) word embeddings and similarity search
  • Collaborative Filtering and recommendations

Project Week

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DSE: 2
  • Clustering: k-means
  • Naive Bayes
  • Bayesian Models
  • Hierarchical Bayesian models
  • Trees
  • Ensemble Models
  • Random Forests
  • Gradient Boosting Models

Project Week

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Data Science: X - Program prerequisites

1.  Working knowledge of python. 

2.  Working knowledge of machine learning. 

Take Free LIVE-online course preparators in Python and machine learning if you do not meet the prerequisites.

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Learn more about the program here. The program begins January 25, 2021

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Apply Now

Why learn Data Science with Univ.AI?

Founded by faculty from the world’s top universities, Univ.AI seeks to bring you a premier, outcome-driven education, LIVE ONLINE, that’s second to none. 

Our programs are ideal if you are currently enrolled in a university program or have existing work commitments: 

  • 6-8 hours of LIVE sessions per week at convenient times 
  • Total commitment of 10 to 12 hours per week 
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

Meet Dr. Rahul Dave (former Harvard University professor) - your lead instructor

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Rahul is a co-founder of Univ.AI. Before starting Univ.AI, Rahul was a lecturer at Harvard University. He was on the original team for Harvard’s famous Data Science course, cs109, and has taught machine learning, statistics, and AI courses, both at Harvard and at multiple conferences and workshops.

Experience Learning at Univ.AI. Watch demos

Demo Class with Dr. Pavlos Protopapas

Watch a demo class with our founding faculty, Dr. Protopapas on Artificial Intelligence and know more about how we strive to give you a world-class learning experience.

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Key Highlights

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00:18  Introduction & Class Prerequisites

04:21  The learning platform

05:59  Lesson 1 - Part A demo

19:51   Breakout room

21:15   Live Q&A


Project Presentation by Univ.AI Students

Every module with Univ.AI is followed by a hands-on project, allowing students to apply their learnings and gain expertise. This is a project presentation from our Artificial Intelligence module on “A Country’s Secret to Happiness”


Key Highlights

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00:15 Introduction and Problem Statement
01:38 Project Overview and Process [Data Sourcing, Exploratory Data Analysis, Modeling]
02:45 Methodology [Algorithms, Data Sets and Code and Packages used]
04:05 Results and findings
07:00 Conclusion and Improvements


Here’s what our students say about learning with us

Our classes are an eclectic mix of talented individuals who believe in the power of Data Science and AI in shaping our future.

Nihal D'Souza
Cisco
Even after attending the sessions right after a long day at work, my focus was invested throughout because of the ingenious way in which each class was planned out with alternating intervals of theory and practice.
...more
Anusha Sheth
Incoming graduate student at Georgia Tech
With the support of the professors, Rahul and Pavlos, I applied the concepts I studied to my work, and it has made me more confident to pursue this career of research in AI & energy field.
...more
Arya Mohan
Incoming Data Analyst at Schneider Electric
Univ.AI’s course is not something you find very often. You get the opportunity to interact with some brilliant professors, get hands-on practical experience, and further your academic pursuits.
...more
More reviews

Our Alumni are at

The Master Series in Data Science and AI

Pursue focussed programs in 3 sequential, standalone certifications of 10-12 weeks each. Complete the Master Certification (Z) and get a guaranteed* top tier job. 

*score an ‘A’ grade in the Master Program

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Frequently asked questions

Who should take Univ.AI programs?

We welcome learners from all academic backgrounds - students or working professionals. Our X, Y and Z level programs suit the learning needs of beginners, intermediate learners and expert learners, respectively.

What is the Master Certification Series?

Univ.AI offers a series of micro-certification, each of which has its own individual outcomes.

  • Level X micro certifications are for beginners in Artificial Intelligence and Machine Learning.
  • Level: Y is for advanced learners in ML/AI
  • Level Z: Is for expert level practitioners

You can take these programs consecutively or at your own pace, with breaks in between programs.

Can I attend just one program in the Master certification series?

Yes, you may. All our programs are standalone certification programs to provide you with specific professional outcomes. You can proceed to the next level of the series if you want a greater professional outcome, and can commit the time needed. Each program is 10 to 12 weeks long.

What if I miss live classes?

You can review recorded videos which are available soon after a class. You can seek help if you need any during your daily live mentor sessions.

Where do Univ.AI alums work?

Our alums work at Microsoft, Cisco, Mindtree, Deloitte and several prominent startups. A significant number of our alums choose to attend graduate school at top institutions. Recently our alums have gained acceptance to Carnegie Mellon, Harvard, UCLA, University of Michigan, Georgia Tech and University of British Columbia among others.

What kind of jobs may I expect after my Univ.AI program?
  • After X-level, you will be eligible for most entry level positions in AI, ML or Data Science.
  • Y-level, will prepare you for mid to senior level positions
  • Z-level prepares you for elite opportunities in AI, ML and Data Science with state-of-the-art placement guarantee to performers scoring Grade A
How much mentor help can I get?

With all our programs, you get 5 to 6 hours of LIVE online mentor sessions scheduled per week. If you need further assistance, you can request for more, asynchronous sessions with your mentor.

Does Univ.AI offer Internships?

The Level-Z program for both machine learning and AI tracks is a hands-on internship / a Capstone project where you will work with Univ.AI’s partner companies or institutions to apply advanced skills.

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