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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English

Course Overview

“Artificial Intelligence + Machine Learning (M)” certification is an online short-term course designed and provided by the E&ICT Academy, IIT Kanpur. This course is ideal for freshers, and working professionals who want to learn all about Artificial Intelligence, and its concept of Machine Learning(M).

The “Artificial Intelligence + Machine Learning (M)” syllabus is a combination of machine learning, its different forms, learning categories, python packages, regression, and much more. For better understanding, and learning, candidates will be evaluated, on the basis of a final assessment so that candidates can be judges, and awarded a certificate quite easily. This course is being implemented and taught by corporate trainers who have immense knowledge, and experience in this field.

This “Artificial Intelligence + Machine Learning (M)” certification will be an added advantage for the candidates in securing their dream jobs. Since this certification will be provided after a final assessment, it is more beneficial for a candidate’s professional career.

The Highlights

An Online Course
Online Live Training
Certificate of Completion
Hands-on Practical Experience
Initiation by E&ICT Academy, IIT Kanpur
Doubt Clearing Sessions
Training via industry experts

Programme Offerings

Online Course
Certification by IIT Kanpur
Programming Tools
programming languages
Hands-on-Experience

Courses and Certificate Fees

Certificate Availability
no

The candidates have to pay only Rs. 8,474 along with an 18% extra GST charge for the “Artificial Intelligence + Machine Learning (M)” Certification fee. Sometimes different coupon codes may also be available for certain discounts.

Artificial Intelligence + Machine Learning (M) Fee Structure

Description	Amount
Artificial Intelligence + Machine Learning (M)	Rs. 8,474 + 18 % GST

Eligibility Criteria

Educational Qualification

Any candidate who has any kind of educational background including B.Tech, M Tech, or, any professional background can apply for this programme.

Work Experience

Any work experience is not mandatory for this “Artificial Intelligence + Machine Learning (M)” course.

Certification Qualifying Details

After completing learning all the course materials, attending the final assessment examination, and performing any hands-on-experience, then the candidates will be receiving an “Artificial Intelligence + Machine Learning (M)” certification by IIT Kanpur.

What you will learn

Machine learningKnowledge of Artificial Intelligence

After the completion of the “Artificial Intelligence + Machine Learning (M)” course candidates will be entitled to do the following:

Learn, and start the application of Artificial intelligence, along with Machine Learning
Candidates will also explore skills like Unsupervised Learning and Preprocessing, Neural Networks with TensorFlow, Keras API, and more.

Who it is for

Anyone who is B.Tech, M.Tech, even a BCA or MCA candidate who wants to develop a career in Artificial Intelligence + Machine Learning field can learn this course. Also, people who want to take up their skills a notch higher so that they can get a career boost can also opt for this course.

Admission Details

Candidates should follow these steps below for admission details to the “Artificial Intelligence + Machine Learning (M)” course:

Step 1: Visit the official course website: https://ict.iitk.ac.in/product/artificial-intelligence-machine-learning/.

Step 2: Next Click on ‘Enrol, And Pay’ at the centre of the page.

Step 3: Candidates can add this course to the cart.

Step 4: Next, Checkout, and pay the entire fees.

Step 5: Candidates after fee payment can start by studying the course.

Application Details

The application form filling is not necessary for the “Artificial Intelligence + Machine Learning (M)” certification by the candidates. The candidates can add this course to their cart, and then can simply proceed to checkout so that they can get enrolled in the course.

The Syllabus

Introduction To Machine Learning
History and Evolution
Artificial Intelligence Evolution
Find out where Machine Learning is applied in Technology and Science

Statistics, Data Mining, Data Analytics, Data Science

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Data Analysis Packages
NumPy
SciPy
Matplotlib
Pandas
Slkearn

Regression
Classification
Generalization, Overfitting, and Underfitting

Classification

Understand how continuous supervised learning is different from discrete learning
Code a Linear Regression in Python with scikit-learn
Understand different error metrics such as SSE, and R Squared in the context of Linear Regressions

k-Nearest Neighbor
Linear models
Naive Bayes Classifiers
Decision trees
Support Vector Machines

Challenges in unsupervised learning
Preprocessing and Scaling
Applying data transformations
Scaling training and test data the same way

Principal Component Analysis (PCA)

A revolution in Artificial Intelligence
Limitations of Machine Learning
What is Deep Learning?
Advantage of Deep Learning over Machine learning

How Deep Learning Works?
Activation Functions
Training a Perceptron
TensorFlow code-basics
Tensorflow data types
CPU vs GPU vs TPU
Tensorflow methods
Introduction to Neural Networks
Neural Network Architecture
Linear Regression example revisited
The Neuron
Neural Network Layers
The MNIST Dataset
Coding MNIST NN

Understand the limitations of a Single Perceptron
Deepening the network
Images and Pixels
How humans recognize images
Convolutional Neural Networks
ConvNet Architecture
Overfitting and Regularization
Max Pooling and ReLU activations
Dropout
Strides and Zero Padding
Coding Deep ConvNets demo
Debugging Neural Networks
Visualizing NN using Tensorflow
Tensorboard

Introduction to CNNs
CNNs Application
The architecture of a CNN

How to compose Models in Keras
Sequential Composition
Functional Composition
Predefined Neural Network Layers

Evaluation process

At the end of the online course, there is a compulsory assessment test that needs to be attended by all the students to get the certificate of completion.