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AI-1: AI Basics

This module equips you with the fundamental skills you will need as an AI Scientist / Engineer. This is an X-level module, ideally intended for beginners. If you have prior background in AI fundamentals you might find AI Y more suitable. You will become familiar with and gain expertise in regression and classification models. You will then learn about Neural Networks. Then, on to image processing with Convolutional Neural Networks.

At the end of this course, you will be able to train a variety of advanced neural network models, and apply them to image recognition and other problems.

You will now be ready to read research papers, and succeed in entry-level to intermediate AI and ML jobs.

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Applications opening soon
Registration Closed

Starts

January 9, 2022
To be decided
Self-paced

Duration

6 weeks, part-time

Time Investment

10 to 15 hours per week
Online

Format

Live, Online
Online

Fee

Introductory Price: $1,000
List Price: $2,250

₹50,000

Registration closes

January 8, 2022
To be decided

Course Outcome

Program Overview

Program Overview

After successfully completing the program, you will be:

1. Able to run a variety of advanced neural network models on your own
2. Awarded the Professional Certification in Artificial Intelligence
3. Eligible to attend the Artificial Intelligence: Y program, the second part of the 3-part Master Series
4. Prepared to pursue advanced learning (graduate and above) studies in AI and Machine Learning
5. Eligible for junior to intermediate positions in industry

Who should apply

Anyone who seeks to learn machine learning and Artificial Intelligence, and who has the necessary prerequisites. The course is however tailored to students as well as working professionals, who have some background in maths as well as programming.

See if you are ready

Prerequisites

1. Basic statistics and mathematics (upto probability distributions, linear algebra and univariate calculus)
2. Working knowledge of python as represented by the subjects in python-preparator.

Class Timings

Course Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based 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 learn

Capstone
4. Capstone

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

Program Faculty

Dr Pavlos Protopapas

Founding faculty Univ.AI

Pavlos is the Scientific Program Director, Institute for Applied Computational Science (IACS) at Harvard University, and leads the data science masters program at Harvard.

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Topics Covered

AI 1

kNN Regression and Linear Regression
Multi-Regression, Polynomial-Regression, Model Selection using Train/Validation and Cross Validation
Inference in Linear Regression
Regularization: Ridge & Lasso Regressions
Logistic Regression
Metrics and Data Imbalance, Precision, and Recall
Neural Networks 1 - Perceptron and MLP, Anatomy of Neural Networks and Design Choices
Neural Networks 2 - Fitting Neural Networks

Project Week

AI 2

Introduction, Review of Feed Forward Network Networks (Network Architecture and Design Choices)
Backpropagation and Optimizers
Regularization for Neural Networks, Early Stopping, Data Augmentation, Dropout, and Batch Normalization
Convolutional Neural Networks: Basic Concepts and Architectures
Receptive Fields, Strides and Saliency Maps
Convolutional Neural Networks: State of the Art CNNs
Neural Net Transfer Learning
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Project Week

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Frequently Asked Questions

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Univ.AI is a premier online-live institution to learn Data Science, Machine Learning and AI. Created by professors from Harvard and UCLA.


Univ.AI was designed as an accessible and affordable alternative to top-tier universities, especially for working professionals.


More generally, Univ.AI is a learning destination for those (both current students and working professionals) who seek cutting edge learning and career outcomes, but may not be able to attend Harvard and MIT.


Univ.AI brings onto an online platform, the world’s top professors to teach LIVE. The other distinguishing feature of learning at Univ.AI is an intensively mentored learning environment with 8-10 hours of live mentorship each week. 


Univ.AI graduates proceed to get top jobs in the industry, move to AI/Data Science jobs at existing employers. Many go on to attend top tier graduate schools.

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Yes. We have a 2-tier certification system for all our programs. Students who score an A grade are awarded a special Certificate of Exceptional Performance. All students who successfully complete a program receive a Certificate of Successful Completion. 


In addition, within a program, for each course you complete successfully, you get a course completion certificate and grade. 


All certificates are granted by Univ.AI, and signed by our founding faculty, who are Harvard and UCLA professors.


In addition you have a github repository of all your projects, and a detailed transcript for the program, comprising your grades in each of the courses.

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Univ.AI students may reasonably expect to get the best jobs in the industry, commensurate with their prior experience. Folks that come to Univ.AI without any prior work experience, and expect to get top entry-level positions in Data Science, and those with prior work experience, will be able to get more senior-level jobs.


In addition, we invite Univ.AI students to apply for positions at Univ.AI’s Data Science and AI consulting division, which offers top jobs at industry-leading compensation.

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At Univ.AI you can take entire programs or individual courses. 


Courses

Admission to individual courses is unrestricted, and you can enroll simply by selecting a course from the “courses” page at www.univ.ai and paying the associated fee. You could reproduce an entire program by taking all the courses in any program. 


Note: If you choose to complete a program one-course-at-a-time, you will be eligible for program certification. However, you can avail yourself of placement assistance, and other facilities only after completion of program certification. 


Those enrolled into programs get access to employment, internship and other enrichment opportunities well ahead of program completion.


Programs

Admission to programs is a two step process - 

  1. Application and test

You need to complete an application at www.univ.ai, which includes an aptitude test.

  1. Interview

Based on your application and test scores, if you qualify for the next step, you will be invited for an interview. Interviews are simple and meant to assess your background, preparedness, and motivation.

 

Based on your interview and eligibility, you are offered admission to the program of your choice and offered one or more of tuition payment options (including, if eligible, a ZERO upfront fee option).


Alternative ways of getting admitted

You can take either PyDS or AI-1 as a stand-alone course, and if you score an A in PyDS, or a B+ or higher in AI-1 and secure admission to the program of your choice.

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USA


For our US candidates, everyone is eligible for an ISA. Working professionals, however, are not eligible for placement and salary guarantees.



ISA with deposit 

Those who are not offered ZERO upfront tuition with an ISA, may be offered an ISA with deposit, where about 20% of the fee is required to be paid upfront, and the remainder is payable via the ISA.


Pay-as-you go, and full upfront tuition fees

Those who are ineligible for a full ISA, or an ISA with deposit can elect to pay by one of the above ways. 


We continue to look for other convenient ways of tuition payment.


Details


INDIA 


Generally, only those who are currently in their final year of other degree programs, or taking time off to study at Univ.AI are eligible for Zero Upfront tuition programs with full ISA. Working professionals are not eligible.


Full ISA

ISA awards are decided based on application and interview. ISA applicants are asked to fill out a separate application before the admissions interview. ISA decisions are made based on the application and interview.


ISA with deposit

We do offer select working professionals (and others who do not qualify for a full ISA), an alternative - ISA with deposit. In this scheme, 20%-30% of the program fee is required to be paid as a deposit. The remainder is payable as ISA fees. The ISA amount is reduced by the amount of the deposit.


Deferred fee, Pay-as-you go, and full upfront tuition fees

Those who are ineligible for a full ISA, or an ISA with a deposit can elect to pay by one of the above ways.


Details

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Anyone! Data Science and AI are horizontal skill that increasingly professionals of all persuasions will need to know - whether they are social or physical scientists, engineers, or medical professionals. 


Our programs are part-time. Students currently enrolled at university, as well as working professionals, can apply for our programs.

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Programs at Univ.AI are run one-course-at-a-time, and require about 12-15 hours of your time each week, including live classes, labs, office hours, homeworks, and projects. 


Every week, you have two classes of about 90 


Each session lasts about 90 minutes. 


If you can commit that kind of time every week to learn a new field, then we welcome you to apply for Univ.AI programs in Data Science, and AI irrespective of your stage of career.

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All sessions are live - classes, labs, office hours, homeworks, project work. They are specifically designed to promote participation. You participate along with your study group in every element of learning. 


Even lectures at Univ.AI are active. Every 20-30 minutes, you break into a problem solving session with a Teaching assistant and immediately double down on the concept that was just taught. 


The system ensures that if you find time to attend learning sessions, you learn - it’s that simple. You can learn more about each component of Learning at the “How it works” page at www.univ.ai

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We conduct both group and individual evaluations. Evaluations are based on your class performance (exercises and quizzes), labs, homeworks, and projects. We ask that you always participate and attempt exercises even if you get them wrong: participation counts towards your grade. 


Detailed evaluation criteria may vary from course to course, and are published prior to each course. Below is a representative grading structure:

  • Quiz & Exercises: 25%
  • Homework assignments: 35%
  • Participation: 10%
  • ~Forums: 5%
  • ~Lectures: 5%
  • Course-end Project: 20%


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Register as  a new user on the website itself by giving some basic information like name,  college name, and email-id after clicking on Apply button in the Hackathons  section. Registration is mandatory for  participation.

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You will work for Univ.AI’s consulting arm as a Machine Learning or AI consultant. You will be assigned, from time to time, to selected client projects.

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The amount of mentorship you receive at Univ.AI exceeds that at most programs (on-camps, or online) around the world.


Our 6- to 10-month programs are equivalent in rigour and intensity to non-thesis graduate programs at the world’s elite institutions. Univ.AI’s fully live, high-intervention online programs are without parallel. They are closer to on-campus programs which have an entire community aligned to learning. 


Most online programs lack that orientation. Their once-a-week mentorship sessions shift the burden of learning entirely to the students. 


At Univ.AI, your mentoring begins right at the Lectures. During lectures you work on TA-supervised problem solving sessions. Mentoring continues through Labs and office hours with Professors and TAs. 


Since mentoring is such a critical part of the learning experience at Univ.AI, it perhaps helps to quantify it. About 50% of your learning journey is completely mentored. Of the remaining, about 30% is peer-assisted and collaborative. Only 20% is unaided.


Mentored and peer driven learning as a % of the learning journey

Online programs - 10-20%

Universities - 30-40%

Univ.AI - 80%

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For each course you complete successfully, you get a course completion certificate and a grade. All certificates are granted by Univ.AI, and signed by our founding faculty, who are Harvard and UCLA professors.

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Career placements are a key part of our programs. Univ.AI has recruiting partnerships with companies ranging from fortune 1000 companies to leading startups. As you approach the end of your program at Univ.AI, our placement coordinators seek out and present opportunities for you to apply and interview for top jobs. 


Placements are an integral part of our process to get you started on an exceptional career path.

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Our Master ML & AI, Certificate in Deep Learning and Certificate in Data Science programs require you to know (high-school level) -  linear algebra, calculus, and basic statistics. In addition we require you to know Python programming. 


We conduct an entrance exam as part of the application to test you on the prerequisites to ensure that you are well prepared to succeed in our programs.

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They are currently held at - 

USA

9:30 a.m. EDT (8:30 am EST)

6:30 am PDT (5:30 am PST)

 

India

7:00 pm IST.

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We make session recordings available on video shortly after they are completed. Most participants tend to view the lecture video and then follow that up with a live Lab and office hours to catch-up. 


TAs often stay after labs and office hours to answer questions. There are lots of opportunities to catch up with missed sessions.

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Team  participation is not allowed, you must participate as an  individual.

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Your job begins after you successfully complete the 10-month Master ML & AI program, while maintaining a B+ or higher in aggregate for the program as a whole.

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At present we offer only part-time programs. They are designed such that working professionals can expect to finish them in a 6-9 month period with 12-15 hours of work per week (with breaks between courses). 


The workload is calibrated to keep the rate of learning new concepts at a level that allows you enough time to learn them thoroughly, and explore all practical nuances of application.

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No, we do not offer college credits for our courses. However, if you choose to pursue further education, based on knowledge acquired at Univ.AI, you will be able to test out of required courses at many universities around the world.

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We do not ourselves provide jobs. We provide access and assistance to secure great jobs.


We do however relieve you of any obligation to pay tuition if you score an A in our programs and then are unable to find employment within a stipulated time period after program completion. 


If part or whole of the tuition has already been paid, we refund your tuition fee.


Note: Working professionals are already employed and are ineligible for placement guarantees.

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We offer a preparatory course, Python for Data Science (PyDS) for those who do not have a programming background. This course makes sure you are prepared to take any course in Machine Learning or Data Science. 


Folks who score B+ or higher in PyDS are considered for admission into our programs, without having to go through our regular application process. An A grade in PyDS guarantees you admission to the program of your choice (except advanced programs).

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We plan to introduce evening times for US sessions, once we have some data about time preferences, from course participants. 


Evenings on the east coast, don’t work for folks on the west coast (late afternoons for them). Likewise, evenings on the west coast don’t work for the east. Morning timings seem like the best compromise.

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Homeworks and projects are typically done in groups. Our students benefit greatly from group-work to address missed learning sessions. Learning from peers plays a key role for most, and adds substantially to the experience.

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Yes,  multiple entries are allowed, but we limit the entries to 3.

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If you choose not to take the job after completing the program, you will lose your DSLP fellow status, and will be considered a regular candidate under the “ISA with a deposit” tuition plan. In this case, you will immediately owe an upfront deposit of ⅓ of the regular program fee (approximately INR 1,00,000). The balance will be payable as per the terms and conditions of ISA with a deposit tuition plan.

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Each of our programs comprise a series of 5-6 week courses. With few exceptions, most individual courses are 5-weeks long. 


The learning system is entirely LIVE and comprises Interactive classes, labs, office hours, homework assignments, and an end-of-course project. 


Each week, for the first 4 weeks, there are two classes, one-to-labs, and office hours. In addition you are assigned homework. The final week is for a group project.


There is a short break at the end of each course and the start of the next one. For more details, please refer to the how it works page of our website.

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The frequency of live sessions ensures that help is always on hand. 


Highly trained Teaching Assistants (TAs), serve as course mentors. RIght from the in-class exercise during professors’ lectures, to labs, office hours and discussion forums. TAs mentor each step of your learning journey - LIVE. Typically, they will be alongside you, live, with other members on a shared screen, discussing questions, helping clarify concepts and when necessary, typing in lines of code. TAs also grade your work. 


This real-time, live mentoring by TAs makes a decisive and unparalleled difference to the learning experience at Univ.AI.

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Submission  for first-round would include & Model codes (notebook), model output  on test cases.

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The minimum obligation to work with us, under the DSLP fellowship, is 18 months.

If you choose to leave the job after 18 months, your notice period will be 3 months.

If you choose to leave any time prior, you will lose your DSLP fellow status, and will be considered a regular candidate under the “ISA with a deposit” tuition plan. In this case, you will immediately owe us an upfront deposit of ⅓ of the regular program fee (approximately INR 1,00,000). The balance will be payable as per the terms and conditions of “ISA with a deposit” tuition plan.

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Yes. You can enroll directly into any course and take it simply by paying the associated fee. You could also take an entire set of courses one-at-a-time to complete any one of the programs on your own schedule. 


You will be subject to the same grading and assessment rigour as other students who are part of our programs. 


You will, however, be ineligible for tuition plans. You may be eligible for placement assistance under certain circumstances.

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At Univ.AI, you are never left waiting. 


Each course has a discussion forum where both TAs and peers answer your questions. You also spend a significant amount of time working in groups on homework and projects. The amount of time you learn unattended is quite small as a fraction of your overall experience.

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You can  write to us at ghf@univ.ai.

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You can discontinue participation in the DSLP fellowship. In this case, you will become a regular student enrolled with an ISA with a deposit tuition plan. You will be required to pay the upfront deposit of ⅓ of the regular program fee as per the terms and conditions of the “ISA with a deposit” tuition plan, followed by the defined ISA payment schedule.

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Round 1:  Model evaluation metrics score

Round 2: Top 10 participants  Interview by Jury members (Final Presentation)

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Students who are not able to meet the required academic standards to maintain their program status throughout the duration of the fellowship, due to legitimate reasons, will be considered on a case by case basis.

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Students are  requested to submit their solutions on the web page itself, after logging in  by using their credentials. If they are facing any issues while uploading it  on the webpage, they are requested to write to us at ghf@univ.ai

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The majority of our clients are overseas. It is likely, once travel conditions in the world become conducive, that your assignments will involve overseas work.

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There are no  requirements for a specific software or programming languages. Use tools that  you are comfortable with and which will provide an effective  solution.

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Depending on the selection of projects available, we may be able to accommodate your request to work in your area of interest.

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The final  shortlisted participants will be invited to present their solutions to the  panel of judges through an online medium. Relevant details will be  shared.

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It is our recommendation that you do not wait until you receive the results of your DSLP application, to submit a regular application. Seats are limited and may no longer be available. If you get accepted into both the programs, you will have the opportunity to make a choice.

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You will  need to have basic knowledge of programming (in any language) and data  science.

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