When will I have access to the lectures and assignments?

You will have access to your onboarding course and all available self-paced content for this Certificate immediately after you enroll and pay. Once the first course officially begins, you’ll be able to ask questions from the teaching team, get feedback on your projects, and work with other peers on group assignments.

What will I get if I pay for this program?

You will get access to all Certificate courses. You will also get feedback from the teaching team on your projects. You’ll be working with an elite network of peers towards your goals.

Can I take this program for free?

No. The Certificate is available only to learners who have paid for the program.

What is the refund policy?

You will have 2 weeks after the start of the first course session to refund your payment.

Is financial assistance available?

Financial assistance is not available at this time for Certificates.

When are the classes starting?

Classes will start in 2023, details will be announced soon.

Will the certificate be issued by IIT Roorkee?

Yes! The certificate will be directly issued by Indian Institute of Technology, Roorkee.

What are the available payment modes?‎

Applicants from India can pay using debit or credit card, net banking, or through EMI. Applicants from outside of India, can pay through debit or credit cards and Paypal.

Certificate

Post Graduate Certificate in Advanced Machine Learning & AI

Gain in-depth learning and advanced skills in the techniques and applications of machine learning and artificial intelligence from Indian Institute of Technology Roorkee, India’s top technology institute, to advance your career in this high-growth field.

The first cohort will start in 2023

Details to be announced soon.

6 months

6-8 hours per week. May vary by student.

$1,500 (INR 112,500)

Explore flexible payment options while enrolling.

100% Online

+ Live classes and feedback from faculty.

No application necessary

Top-ranked Institute of National Importance

Learn from a top university in higher technological education, basic and applied research, and engineering

Live sessions and office hours

Learn primarily at your own pace, with doubt clearing sessions and faculty feedback

Real world projects

Showcase your new skills with an applied industry project

Program description

Advance your career in AI with a Certificate from IIT Roorkee

Required background

We recommend one year of relevant work experience, and some exposure to coding. This course contains reading material and lectures on selected topics bridging the gap between advanced knowledge and the minimum level required to understand and use machine learning algorithms; however, learners with prior experience will find course content more accessible.

Skills you will gain

Python Programming Language
Data Science
Computer Vision
Deep Learning
Machine Learning
SQL
Artificial Intelligence
Neural Networks
NLP

Overview

Artificial Intelligence (AI) and related technologies are revolutionising everyday life around the world. Given the increasing adoption of AI and Deep Learning (DL) innovations across industries—such as Alexa, Siri, humanoids, and chatbots—there is a growing demand for AI talent across industries. Those aspiring to build a career in AI and DL can get a head-start with this advanced certificate.

In this six-month comprehensive program, you will enhance your expertise of deep learning techniques and its applications in AI.

7 courses in this 6 month program

Course 1 of 7

Introduction to Tensorflow and Keras

What you will learn

How to write code using common Tensorflow functionality
How to write code using common Keras functionality
How to work with data and perform data exploration tasks using Tensorflow
How to create interactive visualizations using TensorBoard

Project(s)

Basic visual and exploratory analysis of a dataset

In this project, you will write code that can be used to perform basic visual and exploratory analysis of a dataset. When the code runs, it will produce the relevant plots, charts and tabular results for basic data analysis.

Overview

In this course, you will learn and develop the necessary knowledge and skills for the most prevalent machine learning libraries for the deep learning subdomain: Tensorflow and Keras.

Course 2 of 7

Machine Learning Projects Using Tensorflow and Keras

What you will learn

How to pre-process and prepare data and perform in-depth exploration using Tensorflow and Keras
How to train ML models and make predictions using Tensorflow and Keras
How to evaluate performance of ML models and interpret the results
Become familiar with the Kaggle platform and understand the lifecycle of a machine learning project

Project(s)

Programming with Kaggle Pt. 1 As a data scientist or ML engineer you are supposed to implement the selected machine learning project using Tensorflow and Keras

Overview

In this course, Tensorflow and Keras would be used to implement End-to-end machine learning projects.

Course 3 of 7

Introduction to Artificial Neural Networks

What you will learn

How to develop Artificial Neural Networks algorithms and concepts
How to train ANN models and make predictions using Tensorflow and Keras
How to use the backpropagation algorithm and other modern variants of it
How to fine-tune Neural Network hyperparameters

Project(s)

Programming with Kaggle Pt. 2 As a data scientist or ML engineer you are supposed to implement the Artificial Neural Networks in your project using Tensorflow and Keras

Overview

In this course, you will learn Artificial Neural Networks (ANN) concepts and algorithms. This course will cover the background of ANNs, evolution of ANN architectures, and modern developments.

Course 4 of 7

Deep Neural Networks

What you will learn

How to build, train, and apply fully connected deep neural networks
How to improve the performance of deep neural networks by hyperparameter tuning, regularization and optimization
How to split your data and when to use multi-task, transfer, and end-to-end deep learning

Overview

Get introduced to the concept of a neuron and how multiple neurons can be used to construct an artificial neural network. Deep learning is a class of machine learning algorithms that progressively extract features for better understanding of the problem. You will learn about various deep learning models built using artificial neural networks.

Course 5 of 7

Convolutional Neural Networks and Computer Vision

What you will learn

How to build, train, and apply convolution neural networks
Characteristics of various architectures of deep convolutional neural networks and applications in computer vision
How to improve the performance of convolutional neural networks

Overview

Artificial Intelligence (AI) has come a long way and has been seamlessly bridging the gap between the potential of humans and machine vision. The advancements in Computer Vision with Deep Learning have been a considerable success, particularly with the Convolutional Neural Network (CNN) algorithm. You will learn about CNN and various CNN models to solve Computer Vision problems.

Course 6 of 7

Recurrent Neural Networks and Sequence Modeling

What you will learn

How to build, train, and apply recurrent neural networks
Architectures of recurrent neural networks and applications in Natural Language Processing (NLP)

Overview

Processing the naturally spoken language is one of the complex tasks faced by researchers. In this module, you will learn about Natural Language Processing and how Deep Learning models can be used to build speech recognition applications.

Course 7 of 7

Application of AI Capstone

What you will learn

How to apply feature engineering to image and text data
Utilize Transfer Learning
How to build fusion neural networks consisting of CNNs and RNNs

Project(s)

Image Captioning As a ML engineer you are supposed to implement the selected project and compete with your peer-group.

Overview

Learn about cutting edge applications of Artificial Intelligence with the Image Captioning Capstone project. This will be an end-to-end project to apply the concepts taught in the program. Many forms of media frequently lack alternative text for images. This lack of image captions hampers the accessibility of their content. Hiring people to write captions for those pictures is often prohibitively expensive. The use of an automated system to write the captions would be a viable alternative. The objective of the project is to develop such a system which can generate descriptive captions for a given image.

Post Graduate Certificate in Advanced Machine Learning & AI

The first cohort will start in 2023

6 months

$1,500 (INR 112,500)

100% Online

No application necessary

Top-ranked Institute of National Importance

Live sessions and office hours

Real world projects

Program description

Required background

Skills you will gain

Overview

7 courses in this 6 month program

Introduction to Tensorflow and Keras

What you will learn

Project(s)

Overview

Machine Learning Projects Using Tensorflow and Keras

What you will learn

Project(s)

Overview

Introduction to Artificial Neural Networks

What you will learn

Project(s)

Overview

Deep Neural Networks

What you will learn

Overview

Convolutional Neural Networks and Computer Vision

What you will learn

Overview

Recurrent Neural Networks and Sequence Modeling

What you will learn

Overview

Application of AI Capstone

What you will learn

Project(s)

Overview

Instructors

Frequently asked questions

When will I have access to the lectures and assignments? ‎

What will I get if I pay for this program? ‎

Can I take this program for free? ‎

What is the refund policy? ‎

Is financial assistance available?‎

When are the classes starting?‎

Will the certificate be issued by IIT Roorkee?‎

What are the available payment modes?‎‎

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