Python with AIML
(Online Live Training)

About

Join the certified courses from Prutor.AI, IIT Kanpur this Summer, and get the opportunity to utilize your summer vacation by learning new technology at the comfort of your home.

This online live training program is designed in such a way that it makes learning by building projects super easy for you.

Certificate You Will Get

For applying for a job Python with AIML certificate is considered one of the most needed certifications.

Get in Touch

Training Highlights

Learn from home

Stay safe indoors

Certificate of Training

From Prutor.ai

Online Live Classes

Learn anywhere

Faculty Support

Throughout the training

2 months of training

Duration

Doubt clearing

During the live session

Syllabus

The comprehensive syllabus of Python with AIML

Project Work

You can build

Beginner friendly

No prior knowledge required

New Batch Starting in

Join any time and start learning

2nd November 2021

With Internship + Project Letter

Enroll Now - Rs. 31,474+ 18% GST

How will you get your certificate?

IIT Kanpur was the first institute in India to start a Computer Science Department.

IIT Kanpur has a rich base of alumni in this space who have made a remarkable impact around the world (Dr. Arvind Krishnan, CEO IBM, Dr. Rajeev Motwani, Google mentor, Dr. Narayan Murthy, Founder Infosys, Mr. Amit Agarwal, CTO Amazon to name few)

While education is impacted, some of the institutions continue to do well as they have realized the importance of practice. There is no substitution to practice. While other jobs are impacted due to COVID 19 coding jobs are still in demand.

To solve the problem of teaching introductory programming to Engineering students, Dr. Amey Karkare, Computer Science Department at IIT Kanpur has developed software - Prutor, that is being used at IIT Bombay, IIT Goa, IIT Kanpur, IISC Bangalore, IISER Bhopal, and EICT Academy IIT Kanpur to teach programming to more than 40,000+ students.

We believe in the practical and industry-based approach of teaching at Prutor.ai

Certificate

Why Learn Python with AIML?

Learn from Experts at IIT Kanpur

Live Classes over Zoom

Python is simple & easy to learn

The End of Menial Tasks

Increased Sales Opportunities

How will your training work?

1

Attend Online Classes

2

Learn with Hands-on practical

3

Do the project work

4

Give the final quiz

5

Get a certificate in Python with AIML

Python with AIML (Mixed Language)

With Internship + Project Letter

Online Live Training with Faculty Support

Key Features

  1. Lectures in  Mixed Language
  2. Slides in English
  3. Training: 4 weeks of learning + 2 weeks of the project
  4. Price: @Rs. 31,474 + 18% GST
Enroll Now

Python with AIML (Mixed Language)

With Project Letter

Online Live Training with Faculty Support

Key Features

  1. Lectures in  Mixed Language
  2. Slides in English
  3. Training: 4 weeks of learning + 2 weeks of the project
  4. Price: @Rs. 16,948 + GST
Enroll Now

COURSE CURRICULUM - Month 1 (Python)

  • Introduction
  • The Programming Cycle for Python
  • Getting started
  • Variables and simple data types
  • Elements of Python
  • Type Conversion
  • Expressions
  • Assignment Statement
  • Arithmetic Operators
  • Operator Precedence
  • Boolean Expression
  • Introducing list
  • Working with lists
  • For Loop
  • Nested Loops
  • Nested Loops
  • Tuples
  • Unpacking Sequence
  • Lists
  • Mutable Sequences
  • List Comprehension
  • Sets
  • If statements
  • Conditional
  • Conditionals (Continued)
  • Expression Evaluation
  • Float Representation
  • Dictionaries
  • User input and loops
  • Break and Continue
  • Function
  • Parts of A Function
  • Execution of A Function
  • Keyword and Default Arguments
  • Scope Rules
  • String
  • Indexing and Slicing of Strings
  • More Slicing
  • Higher Order Functions
  • Sieve of Eratosthenes
  • Abstract Data Types
  • Classe
  • Modules
  • Importing Modules
  • Classes
  • Special Methods
  • Class Example
  • Inheritanc
  • Inheritance and OOPS
  • Files and Exceptions
  • File I/O
  • Exceptions
  • Testing your code
  • Assertion
  • Iterators
  • Recursion
  • Simple Search
  • Estimating Search Time
  • Binary Search
  • Estimating Binary Search Time
  • Recursive Fibonacci
  • Tower Of Hanoi
  • Sorting
  • Selection Sort
  • Merge List
  • Merge Sor
  • Higher-Order Sort

COURSE CURRICULUM - Month 2 (AIML)

  • Introduction To Machine Learning
  • History and Evolution
  • Artificial Intelligence Evolution
  • Find out where Machine Learning is applied in Technology and Science.
  • Supervised Learning
  • Unsupervised 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
  • 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
  • Convolutional Neural Networks
  • ConvNet Architecture
  • Overfitting and Regularization
  • Max Pooling and ReLU activations
  • Dropout
  • Strides and Zero Padding
  • Coding Deep ConvNets demo
  • Visualizing NN using Tensorflow
  • Tensorboard
  • How to compose Models in Keras
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers

What projects you can build?

Alien Invasion

Alien Invasion

Gender and Age Detection

Gender and Age Detection

Countdown Clock and Timer

Countdown Clock and Timer

Titanic Survival Prediction

Fake News Detection

Heart Attack Detection

With Internship + Project Letter

Enroll Now - Rs. 31,474+ 18% GST

How will your doubts get solved?

Ask your questions in live sessions and we will resolve them

Course Designed and Developed by

Prof Amey Karkare

Prof Amey Karkare

Faculty in Department of CSE, IIT Kanpur

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Rahul Garg

Rahul Garg

25+ year of IT Industry work experience in India & abroad

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Review

Andaleeb Tarannum

Andaleeb Tarannum

I was very enthusiastic about learning AI- ML And hence decided to take the course from IIT Kanpur. It was an excellent experience

Arsh Mishra

Arsh Mishra

A good start for pursuing a career in the field of Artificial Intelligence

Atul Bhatia

Atul Bhatia

We are in the process of implementing AI ML based business solutions, it will help in solutioning and smooth implementation.

Neha Pandey

Neha Pandey

I am studying master's in data science at the University Of Canberra. Also, I work as a research analyst for the Institute Of Economic Growth. Before joining this course I was not aware of the fact that it is so interesting and doable. Now I have an idea and familiar with the terminologies and ready to learn more. My understanding is that in the next 4-5 years, India will be the center of attraction for a data scientist career.

With Internship + Project Letter

Enroll Now - Rs. 31,474+ 18% GST