Machine Learning + Artificial Intelligence

About

Machine Learning (ML) and Artificial Intelligence (AI) are transforming the workplace. It refers to the process of developing self-learning algorithms by way of simple data input. The goal of machine learning is to increase accuracy. It does this by optimizing the execution of a job from knowledge gained by operating through linked datasets. Any addition to the accuracy of a particular use offers up a world of advantages, especially with industry.

What are the benefits of learning these technologies?

  • Behavior Prediction
  • The End of Menial Tasks
  • Increased Sales Opportunities
  • Insightful Business Intelligence
  • Improved Customer Satisfactions
  • Smarter Workplaces

Certificate You Will Get

Training Highlights

Learn from home

Stay safe indoors

Doubt clearing

Through Q&A forum

24+ video tutorials

Learn anytime, anywhere

Beginner friendly

No prior knowledge required

6 weeks access

To the platform

Certificate of Training

From Prutor.ai Trainings

Why learn from Prutor.ai, IIT Kanpur?

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

Just take the final quiz online and clear it with 60% of marks to get the certificate.

Why Learn Machine Learning?

The Skill of the Century

Used Everywhere

Big Bright Career

Versatile

1000's of Jobs

How will your training work?

1

Watch the video

2

Practice problems

3

Give final quiz

4

Get certificate in Machine Learning

Course Options for Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning (In Hindi)

Self-Paced Learning With Faculty Support and Virtual Lab

Key Features

  1. Comprehensive syllabus of AI + ML covered
  2. Certificate from Prutor.AI
  3. Price@Rs. 8000 + 18% GST
  4. 24X7 Access: You can view lectures as per your own convenience.
  5. Online lectures: online lectures with high-quality videos.
  6. Hands-on practice: Includes source code files for hands-on practice.
  7. Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.
Enroll Now

Artificial Intelligence and Machine Learning (In English)

Self-Paced Learning With Faculty Support and Virtual Lab

Key Features

  1. WhatsApp group support
  2. Comprehensive syllabus of AI + ML covered
  3. Certificate from Prutor.AI
  4. Price@Rs.10,000 + 18% GST
  5. 24X7 Access: You can view lectures as per your own convenience.
  6. Online lectures: online lectures with high-quality videos.
  7. Hands-on practice: Includes source code files for hands-on practice.
  8. Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.
Enroll Now

What will be the training syllabus?

Syllabus
1. Welcome to Machine Learning
1. Introduction To Machine Learning 2. History and Evolution 3. Artificial Intelligence Evolution 4. Find out where Machine Learning is applied in Technology and Science.
2. Machine Learning Categories
1. Supervised Learning 2. Unsupervised Learning
3. Machine Learning Python Packages
1. Data Analysis Packages 2. NumPy 3. SciPy 4. Matplotlib 5. Pandas 6. Slkearn
4. Supervised Learning
1. Regression 2. Classification 3. Generalization, Overfitting, and Underfitting
5. Classification
1. Classification
6. Regression
1. Understand how continuous supervised learning is different from discrete learning. 2. Code a Linear Regression in Python with scikit-learn. 3. Understand different error metrics such as SSE, and R Squared in the context of Linear Regressions.
7. Supervised Machine Learning Algorithms
1. k-Nearest Neighbor 2. Linear models 3. Naive Bayes Classifiers 4. Decision trees 5. Support Vector Machines
8. Unsupervised Learning and Preprocessing
1. Challenges in unsupervised learning 2. Preprocessing and Scaling 3. Applying data transformations 4. Scaling training and test data the same way
9. Dimensionality Reduction and Feature Extraction
1. Principal Component Analysis (PCA)
10. Introduction to Deep Learning
1. A revolution in Artificial Intelligence 2. Limitations of Machine Learning 3. What is Deep Learning? 4. Advantage of Deep Learning over Machine learning
11. Introduction To Neural Networks with TensorFlow
1. How Deep Learning Works? 2. Activation Functions 3. Training a Perceptron 4. TensorFlow code-basics 5. Tensorflow data types 6. Tensorflow methods
7. Introduction to Neural Networks 8. Neural Network Architecture 9. Linear Regression example revisited 10. The Neuron 11. Neural Network Layers 12. The MNIST Dataset
13. Coding MNIST NN
12. Introduction to Convolutional Neural Networks (CNN) with TensorFlow
1. Understand the limitations of a Single Perceptron 2. Deepening the network 3. Convolutional Neural Networks 4. ConvNet Architecture 5. Overfitting and Regularization 6. Max Pooling and ReLU activations
7. Dropout 8. Strides and Zero Padding 9. Coding Deep ConvNets demo 10. Visualizing NN using Tensorflow 11. Tensorboard
13. Keras API
1. How to compose Models in Keras 2. Sequential Composition 3. Functional Composition 4. Predefined Neural Network Layers

WHAT PROJECT YOU CAN BUILD?

Sentiment Analyzer

Real-Time Food Detection

Object Detection

Lane Detection

How will your doubts get solved?

You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.

Course Designed and Developed by

Prof Amey Karkare

Prof Amey Karkare

Faculty in Department of CSE, IIT Kanpur

Rahul Garg

Rahul Garg

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

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