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Univ.AI Programs

Programs

Univ.AI offers focussed certificate programs in AI & ML, each designed for tangible learning and professional outcomes for various levels of your learning journey. We also offer short free preparatory courses that help you learn the basics and get you ready for our programs. All our programs are LIVE online with intensive mentorship and foster hands-on learning.

Fast ML & AI

Closing Soon

This 2 part intensive professional certification program will get you ready for your first significant Machine Learning (ML) and Artificial Intelligence (AI) job, in about 20 weeks of learning. 

You’ll start with Data Science basics including data analytics and visualization and proceed to foundational Machine Learning (ML) models. You’ll learn about Neural Networks and AI, and at the end of the course be able to build ML models, train neural networks and apply them to a variety of problems.

Certification Requirement

To complete this program you need to complete micro-certification (modules) ML X and AI X. You can also take each module separately. Each module comes with its own micro-certification designed for completeness and to meet specific employment related training needs.

Next Cohort

Jan 25, 2021

Program Fee

₹60,000

The program fee is the sum of the fees for each of the modules.

₹30,000
₹30,000
ML X
AI X

Financial Support

  • Pay as you go. You pay for each module separately. We do not charge you the entire program fee in advance.
  • EMI payments available for each certification separately.
  • Scholarships are made available to eligible students. Apply here

Who is it for

It is ideal for those who seek entry level jobs in AI and ML, and for project managers, program managers, and others who expect to work in or with ML/AI and Data Science. This program is also For those who seek to pursue AI and ML as a technical career, Master Programs are more suitable.

Prerequisites

  1. Knowledge of python as represented by the topics in Python-Preparator.
  2. If you very first course is ML-X, you will need to know the topics in ML-preparator

If you wish to attend our programs but need assistance with the prerequisites, we recommend you attend two free LIVE courses. These help you begin your learning journey. Learn More

Program Sequence

BEGINNER

ML X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

Topics Covered

ML 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

ML 2

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

Next Cohort

Jan 25, 2021

Duration

10 Weeks (not including break)

Fee

₹30,000

Courses

AI X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

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

  • 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

Next Cohort

May 17, 2021

Duration

10 Weeks(not including break)

Fee

₹30,000

Courses

Master ML & AI

Closing Soon

This flagship 4-part, 40-week Master Certification program provides you a wide and deep background in Machine Learning (ML) and Artificial Intelligence (AI). 

Along the way you’ll learn Data Science basics in ML-X, Neural Network basics in AI-X. You’ll learn about advanced Neural Network including Natural Language Processing, GANs and Reinforcement Learning in AI-Y. Finally AI-Z you’ll put your training to work in a challenging Capstone. At the end of this program, You will have all the skills to stay at the bleeding edge of this field and seek cutting-edge positions.

Certification Requirement

If you have prior background, you can skip directly to AI Y & AI Z

To complete this program you need to complete micro-certification (modules) ML X, AI X, AI Y and AI Z. You can also take each module separately. Each module comes with its own micro-certification designed for completeness and to meet specific employment related training needs.

Program Fee

Jan 25, 2021

Next Cohort

₹4,00,000 with employment guarantee (₹3,00,000 without employment guarantee)

The program fee is the sum of the fees for each of the modules. The fee structure for X, Y and Z level modules is as follows.

AI Y
₹30,000
₹30,000
₹70,000
₹1,70,000 or
₹2,70,000(with employment guarantee)
ML X
AI X
AI Z

Financial Support

  • Pay as you go. You pay for each module separately. We do not charge you the entire program fee in advance.
  • EMI payments available for each certification separately.
  • Scholarships are made available to eligible students. Apply here

Who is it for

This program is for those who seek the most challenging and rewarding careers in ML and AI and are prepared to invest time and effort to master this field. Advanced students can head directly to AI Y and AI Z

Prerequisites

  1. Knowledge of python as represented by the topics in Python-Preparator.
  2. If your first course is ML-X, you will need to know the topics in ML-preparator

If you wish to attend our programs but need assistance with the prerequisites, we recommend you attend two free LIVE courses. These help you begin your learning journey. Learn More

ML X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

Topics Covered

ML 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

ML 2

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

Next Cohort

Jan 25, 2021

Duration

10 Weeks (not including break)

Fee

₹30,000

Courses

AI X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

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

  • 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

Next Cohort

May 17, 2021

Duration

10 Weeks(not including break)

Fee

₹30,000

Courses

AI Y

Registration Open
Closing Soon
Registration closed

You begin with Natural Language Modeling tasks & move to Generative Models. You end with robot control & other fun applications of Reinforcement Learning, to round out a comprehensive background in AI and Deep Learning.

Topics Covered

AI 3

  • Traditional language modeling
  • Embeddings
  • RNNs and LSTMs
  • Language Modeling (predict next world) with RNNs
  • Attention and Seq2Seq models
  • Transformer Models
  • BERT, ELMO, and GPT
  • Project Week

AI 4

  • GANs
  • Markov Decision Processes
  • Deep Q Networks
  • Policy Gradient Methods
  • Actor Critic models
  • Model based methods
  • Project Week

Next Cohort

Apr 19, 2021

Duration

10 Weeks (not including breaks)

Fee

₹70,000

Courses

AI Z

Registration Open
Closing Soon
Registration closed

This is a 12-16 week Capstone project or Internship for those who have completed AI Y, or have equivalent preparation. At the end of AI Z you will be proficient at learning and applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. This micro-certification program comes with a state-of-the art-employment guarantee for high scorers.

Topics Covered

Next Cohort

Aug 2, 2021

Duration

12-16 Weeks (not including breaks)

Fee

₹1,70,000 or ₹2,70,000(with employment guarantee)

Courses

MASTER
ADVANCED

Program Sequence

BEGINNER

Master Deep Learning

This 3-part 30-week Master Certification program trains you to be proficient at Deep Learning with specialised knowledge of Natural Language processing, Generative Models, and Reinforcement Learning. This program prepares you for top jobs in Artificial Intelligence (AI) and Deep Learning. This program also adequately prepares you for research and advanced studies.

If you have prior background, you can skip directly to AI Y & AI Z

To complete this program you need to complete micro-certification (modules) AI X, AI Y and AI Z. You can also take each module separately. Each module comes with its own micro-certification designed for completeness and to meet specific employment related training needs.

Next Cohort

May 17, 2021

Program Fee

₹4,00,000 with employment guarantee (₹3,00,000 without employment guarantee)

The program fee is the sum of the fees for each of the modules. The fee structure for X, Y and Z level modules is as follows.

AI Y
₹30,000
₹70,000
₹1,70,000 or
₹2,70,000(with employment guarantee)
AI X
AI Z

Financial Support

  • Pay as you go. You pay for each module separately. We do not charge you the entire program fee in advance.
  • EMI payments available for each certification separately.
  • Scholarships are made available to eligible students. Apply here

Who is it for

This program is for those who particularly seek to specialise in Deep Learning. We do recommend however that you pick up the basic Data Science and ML skills as represented by our courses ML-1 and ML-2 at some point in your learning journey for a more well rounded background.

Prerequisites

Knowledge of python as represented by the topics in Python-Preparator. If you wish to attend our programs but need assistance with the prerequisites, we recommend you attend our free LIVE courses. These help you begin your learning journey. Learn More

AI X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

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

  • 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

Next Cohort

May 17, 2021

Duration

10 Weeks(not including break)

Fee

₹30,000

Courses

AI Y

Registration Open
Closing Soon
Registration closed

You begin with Natural Language Modeling tasks & move to Generative Models. You end with robot control & other fun applications of Reinforcement Learning, to round out a comprehensive background in AI and Deep Learning.

Topics Covered

AI 3

  • Traditional language modeling
  • Embeddings
  • RNNs and LSTMs
  • Language Modeling (predict next world) with RNNs
  • Attention and Seq2Seq models
  • Transformer Models
  • BERT, ELMO, and GPT
  • Project Week

AI 4

  • GANs
  • Markov Decision Processes
  • Deep Q Networks
  • Policy Gradient Methods
  • Actor Critic models
  • Model based methods
  • Project Week

Next Cohort

Apr 19, 2021

Duration

10 Weeks (not including breaks)

Fee

₹70,000

Courses

AI Z

Registration Open
Closing Soon
Registration closed

This is a 12-16 week Capstone project or Internship for those who have completed AI Y, or have equivalent preparation. At the end of AI Z you will be proficient at learning and applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. This micro-certification program comes with a state-of-the art-employment guarantee for high scorers.

Topics Covered

Next Cohort

Aug 2, 2021

Duration

12-16 Weeks (not including breaks)

Fee

₹1,70,000 or ₹2,70,000(with employment guarantee)

Courses

MASTER
ADVANCED

Program Sequence

BEGINNER

Micro Certification

All our 10-12 weeks modules comprising two courses each are offered as micro-certifications. They are designed to equip you with a comprehensive array of skills to get you job-ready at the relevant level. Following is the list of all micro-certifications.

Note that you can take one or more micro-certifications to fulfil requirements toward our Master Programs and our Fast ML & AI Program.

ML X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

Topics Covered

ML 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

ML 2

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

Next Cohort

Jan 25, 2021

Duration

10 Weeks (not including break)

Fee

₹30,000

Courses

AI X

Registration Open
Closing Soon
Registration closed

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

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

  • 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

Next Cohort

May 17, 2021

Duration

10 Weeks(not including break)

Fee

₹30,000

Courses

AI Y

Registration Open
Closing Soon
Registration closed

You begin with Natural Language Modeling tasks & move to Generative Models. You end with robot control & other fun applications of Reinforcement Learning, to round out a comprehensive background in AI and Deep Learning.

Topics Covered

AI 3

  • Traditional language modeling
  • Embeddings
  • RNNs and LSTMs
  • Language Modeling (predict next world) with RNNs
  • Attention and Seq2Seq models
  • Transformer Models
  • BERT, ELMO, and GPT
  • Project Week

AI 4

  • GANs
  • Markov Decision Processes
  • Deep Q Networks
  • Policy Gradient Methods
  • Actor Critic models
  • Model based methods
  • Project Week

Next Cohort

Apr 19, 2021

Duration

10 Weeks (not including breaks)

Fee

₹70,000

Courses

AI Z

Registration Open
Closing Soon
Registration closed

This is a 12-16 week Capstone project or Internship for those who have completed AI Y, or have equivalent preparation. At the end of AI Z you will be proficient at learning and applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. This micro-certification program comes with a state-of-the art-employment guarantee for high scorers.

Topics Covered

Next Cohort

Aug 2, 2021

Duration

12-16 Weeks (not including breaks)

Fee

₹1,70,000 or ₹2,70,000(with employment guarantee)

Courses

MASTER
ADVANCED
BEGINNER

Free Courses

If you wish to attend our program but need assistance with the prerequisites, we recommend you attend two free LIVE courses.

Python-Preparator

Registration Open
Closing Soon
Registration closed

An intense workshop spread over 2 weekends that is designed to quickly get you up-to speed with the prerequisites for Machine Learning: X program.

Topics Covered

Next Cohort

Duration

2 Weekends

Fee

Free

Modules Covered

Machine Learning - Code First Basics

Registration Open
Closing Soon
Registration closed

The second part of the Free Course-Prep series, this short code oriented course fouses on Machine Learning fundamentals

Topics Covered

Next Cohort

Jan 16, 2021

Duration

2 Weekends

Fee

Free

Modules Covered

BEGINNER

If you wish to attend our programs but need assistance with the prerequisites, we recommend you attend two free LIVE courses. These help you begin your learning journey.

Learn More

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.

More answers

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