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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

This 2 part intensive certification program will get you ready for your first significant Machine Learning (ML) or 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 the courses ML/DS Basics and AI Basics. Each course comes with its own certification designed for completeness and to meet specific employment related training needs.

Duration

May 17, 2021*

*Tentative (final start date will be between May 17 - June 5, 2021)

Next Cohort

20 Weeks

Program Fee

Total payment ₹1,00,000

Payment Schedule

You pay the total program fee in two cycles. We do not ask for the entire program fee to be paid in advance.

₹40,000 due before program registrations close
₹60,000 due in Week 8 of the program
Enrolment Fee:
Next Cycle:

Your payment cycle begins at the start of the first course you take in any program.

Financial Support

  • EMI payments are separately available for the program.
  • 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. For those who seek to pursue AI and ML as a technical career, the Master Deep Learning and Master ML & AI programs will be more suitable.

Prerequisites

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

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

Program Contents

BEGINNER

ML/DS Basics

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

Starts

To be announced

Modules

AI Basics

You will become familiar with and gain expertise in regression models (KNN, linear, multi, Linear, Poly) and classification models (kNN, Logistic). You will then learn about Convolutional Neural Networks and how they are used for machine learning.

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
  • Convolutional Neural Networks: Receptive Fields, Strides and Saliency Maps
  • Convolutional Neural Networks: State of the Art CNNs
  • Neural Net Transfer Learning
  • Compression and Distillation
  • Auto-encoders
  • Generative Adversarial Networks
  • Project Week

Starts

May 17, 2021

To be announced

Modules

Advanced AI

This intensive advanced certification program in AI helps you move from intermediate-level positions in data science or AI and seek top-tier opportunities in AI and deep learning, worldwide. This program helps you to master advanced concepts like Natural Language Processing, Generative Models, and Reinforcement Learning. It equips you to work at a top-tier position in the industry or pursue graduate work in a premier university. The best performers in the program are guaranteed top-tier placements after successfully completing it with an "A" grade.

Certification Requirement

To complete this program you need to complete AI 3, AI 4 and AI 5. These are advanced courses, where in each course, comes with its own certification, designed for completeness and to meet specific employment related training needs.

Duration

April 19, 2021

Next Cohort

20 weeks

Program Fee

‍₹1,50,000

Program Schedule

You pay the total program fee in three cycles. We do not ask for the entire program fee to be paid in advance.

Enrolment Fee:
₹40,000 due before program registrations close
₹55,000 due in Week 8 of the program
First Cycle:
Second Cycle:
₹55,000 due in Week 16 of the program

Your payment cycle begins at the start of the first course you take in any program.

Financial Support

  • EMI payments are separately available for the program.
  • Scholarships are made available to eligible students. Apply here

Who is it for

The program is for those who are currently practicing AI and are looking to gain mastery & professional practice in deep learning. You should have strong foundations and knowledge of concepts, as covered in AI Basics, our beginner level program, to begin Advanced AI.

Prerequisites

Knowledge of regression, neural networks is essential for the program. These concepts are covered in AI Basics, and program participants are expected to be thorough with these.

Program Contents

Advanced

AI-3: Language Models

This is an advanced course for developing proficiency with Natural Language Processing. You will start with the traditional language models, learn about word embeddings, attention and then move on to transformer models. At the end of this course, you will be able to build efficient language models, and tell how well they are performing.

Topics Covered

  • 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

Starts

April 19, 2021

To be announced

Modules

AI-4: Generative Models & Reinforcement Learning

This advanced course will provide fundamental understanding of the concepts behind Generative Models and Reinforcement Learning and apply them to real world problems. The first half of the course starts with generative models and covers autoencoders, variational autoencoders and Generative Adversarial Networks. The second half of the course takes you to Reinforcement Learning.

Topics Covered

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

Starts

June 14, 2021

To be announced

Modules

AI 5: Productionising AI & Capstone Project

This is a 12-16 week hands-on course on industrial AI concepts & practices. This also includes a Capstone project or Internship and is ideal for those who have completed AI 4, or have equivalent preparation to join this course directly. At the end of the course, you will be proficient at applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. We guarantee top-tier placements to exceptional performers in the program (who complete the program with an ‘A’ grade). Direct admission (for those who have not taken AI-4) to the course is via an examination and interview.

Topics Covered

Starts

August 2, 2021

To be announced

MASTER

Master ML & AI

This flagship 5-part, 40-week Master Certification program provides you with a wide and deep background in Machine Learning (ML) and Artificial Intelligence (AI). 

Along the way you’ll learn Data Science basics in ML/DS Basics & Neural Network basics in AI-Basics. You’ll learn about advanced Neural Network including Natural Language Processing, GANs and Reinforcement Learning in AI 3 & 4. Finally, in AI-5 you’ll put your training to work in a challenging Capstone. After successfully completing the program, exceptional performers (those who score grade "A"] get a guaranteed state-of-the-art placement. This program will provide you all the skills to stay at the bleeding edge of this field to succeed in cutting-edge positions.

Certification Requirement

To complete this program you need to complete certification courses ML/DS Basics, AI Basics, AI 3, 4 and 5. Every course comes with its own certification designed for completeness and to meet specific employment related training needs.

Next Cohort

May 17, 2021*

*Tentative (final start date will be between May 17 - June 5, 2021)

Duration

40 Weeks

Program Fee

₹2,70,000

Payment Schedule

You can pay the total program fee in five instalments. We do not ask for the entire program fee to be paid in advance.

₹50,000 due before program registrations close
₹55,000 due in Week 8 of the program
₹55,000 due in Week 16 of the program
₹55,000 due in Week 24 of the program
₹55,000 due in Week 32 of the program
Enrollment Fee
First Cycle
Second Cycle
Third Cycle
Fourth Cycle

Financial Support

  • EMI payments are separately available for the program.
  • 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 Advanced AI

Prerequisites

  1. Knowledge of python as represented by the topics in Python-Preparator.
  2. If your first course is ML/DS Basics, 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/DS Basics

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

Starts

To be announced

Modules

AI Basics

You will become familiar with and gain expertise in regression models (KNN, linear, multi, Linear, Poly) and classification models (kNN, Logistic). You will then learn about Convolutional Neural Networks and how they are used for machine learning.

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
  • Convolutional Neural Networks: Receptive Fields, Strides and Saliency Maps
  • Convolutional Neural Networks: State of the Art CNNs
  • Neural Net Transfer Learning
  • Compression and Distillation
  • Auto-encoders
  • Generative Adversarial Networks
  • Project Week

Starts

May 17, 2021

To be announced

Modules

AI-3: Language Models

This is an advanced course for developing proficiency with Natural Language Processing. You will start with the traditional language models, learn about word embeddings, attention and then move on to transformer models. At the end of this course, you will be able to build efficient language models, and tell how well they are performing.

Topics Covered

  • 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

Starts

To be announced

April 19, 2021

Modules

AI-4: Generative Models & Reinforcement Learning

This advanced course will provide fundamental understanding of the concepts behind Generative Models and Reinforcement Learning and apply them to real world problems. The first half of the course starts with generative models and covers autoencoders, variational autoencoders and Generative Adversarial Networks. The second half of the course takes you to Reinforcement Learning.

Topics Covered

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

Starts

To be announced

June 14, 2021

Modules

AI 5: Productionising AI & Capstone Project

This is a 12-16 week hands-on course on industrial AI concepts & practices. This also includes a Capstone project or Internship and is ideal for those who have completed AI 4, or have equivalent preparation to join this course directly. At the end of the course, you will be proficient at applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. We guarantee top-tier placements to exceptional performers in the program (who complete the program with an ‘A’ grade). Direct admission (for those who have not taken AI-4) to the course is via an examination and interview.

Topics Covered

Duration

August 2, 2021

To be announced

MASTER
ADVANCED

Program Contents

BEGINNER

Master Deep Learning

This certification program trains you to be proficient at Deep Learning with specialised knowledge of Natural Language processing, Generative Models, and Reinforcement Learning. It prepares you for top jobs in Artificial Intelligence (AI) and Deep Learning as well as for research and advanced studies. For those who finish the final course, AI 5, with a Grade A, we guarantee them a top-tier placement.

If you have prior background, you can opt for Advanced AI

To complete this program you need to complete certification courses AI Basics, AI 3, AI 4 and AI 5.  Each course, with its own certification is designed for completeness and to meet specific employment related training needs.

Next Cohort

May 17, 2021*


*Tentative (final start date will be between May 17 - June 5, 2021)

Duration

30 Weeks

Program Fee

Payment Schedule

‍₹2,10,000

You can pay the total program fee in four instalments. We do not ask for the entire program fee to be paid in advance.

First Cycle
Enrollment
₹45,000 due before program registrations close
₹55,000 due in Week 8 of the program
₹55,000 due in Week 16 of the program
₹55,000 due in Week 24 of the program
Second Cycle
Third Cycle

Financial Support

  • EMI payments are separately available for the program.
  • 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 course ML/DS Basics 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 Basics

You will become familiar with and gain expertise in regression models (KNN, linear, multi, Linear, Poly) and classification models (kNN, Logistic). You will then learn about Convolutional Neural Networks and how they are used for machine learning.

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
  • Convolutional Neural Networks: Receptive Fields, Strides and Saliency Maps
  • Convolutional Neural Networks: State of the Art CNNs
  • Neural Net Transfer Learning
  • Compression and Distillation
  • Auto-encoders
  • Generative Adversarial Networks
  • Project Week

Starts

May 17, 2021

To be announced

Courses

AI-3: Language Models

This is an advanced course for developing proficiency with Natural Language Processing. You will start with the traditional language models, learn about word embeddings, attention and then move on to transformer models. At the end of this course, you will be able to build efficient language models, and tell how well they are performing.

Topics Covered

  • 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

Starts

April 19, 2021

TO be announced

Courses

AI-4: Generative Models & Reinforcement Learning

This advanced course will provide fundamental understanding of the concepts behind Generative Models and Reinforcement Learning and apply them to real world problems. The first half of the course starts with generative models and covers autoencoders, variational autoencoders and Generative Adversarial Networks. The second half of the course takes you to Reinforcement Learning.

Topics Covered

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

Starts

June 14, 2021

TO be announced

Courses

AI 5: Productionising AI & Capstone Project

This is a 12-16 week hands-on course on industrial AI concepts & practices. This also includes a Capstone project or Internship and is ideal for those who have completed AI 4, or have equivalent preparation to join this course directly. At the end of the course, you will be proficient at applying cutting-edge skills to solve real-world problems. You will be well prepared for top employment opportunities worldwide. We guarantee top-tier placements to exceptional performers in the program (who complete the program with an ‘A’ grade). Direct admission (for those who have not taken AI-4) to the course is via an examination and interview.

Topics Covered

Starts

August 2, 2021

To be announced

MASTER
ADVANCED

Program Contents

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 ML/DS Basics.

Topics Covered

Next Cohort

Duration

2 Weekends

Fee

Free

Modules Covered

To be announced

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

Duration

2 Weekends

Fee

Free

Modules Covered

To be announced

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 short and long term courses and programs suit the learning needs of beginners, intermediate learners and expert learners, respectively.

What are the courses offered by Univ.AI?

Univ.AI offers certification courses that be taken independently for specific expertise at all levels. We offer five courses, in increasing levels of expertise:

  • ML/DS Basics: Certification course for beginners to get going with concepts for entry level professional expertise
  • AI Basics: Certification course for beginners in AI to for entry level research, employment or to prepare for graduate education
  • AI 3: Intermediate certification course for those looking to specialise in deep learning
  • AI 4: Advanced certification course to master deep learning
  • AI 5: Application of AI at the highest level along with an internship

All of the above are also available as a part of our programs.

What are the programs offered by Univ.AI

Univ.AI offers two short and two longer programs to begin & master AI & Machine Learning.

  • Fast ML & AI: Prepares you to succeed in early career opportunities in AI, ML & Data Science (2 courses, 10+10 weeks)
  • Advanced AI: An intermediate course for advanced AI concepts leading to deep learning expertise (3 courses, 5+5+10 weeks)
  • Master Deep Learning: Begin with AI basics and study advanced AI concepts (4 courses, 10+5+5+10 weeks)
  • Master ML & AI: Our flagship program to help you begin learning AI & ML and taking you towards hands-on expertise (5 courses, 10+10+5+5+10 weeks)
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 Basic courses (ML/DS & AI), you will be eligible for most entry level positions in AI, ML or Data Science
  • The AI 3 & 4 courses prepare you for mid to senior level positions
  • AI 5 prepares you for elite opportunities in AI, ML and Data Science with state-of-the-art placement guarantee
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 AI 5 course consists of a hands-on internship opportunity in machine learning and AI or 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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