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Artificial Intelligence Course in Canada

Intellipaat Artificial Intelligence course in Canada is an industry-designed course for learning TensorFlow, artificial neural network, perceptron in neural network, transfer learning in machine learning, backpropagation for training networks through hands-on projects and case studies. Get the best online artificial Intelligence Training in Canada from Artificial Intelligence certified experts. This is created in collaboration with IBM.

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Key Features

32 Hrs Instructor Led Training
24 Hrs Self-paced Videos
48 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

Artificial Intelligence Overview

Intellipaat is providing comprehensive training on Artificial Intelligence in Canada. You will clearly learn supervised and unsupervised learning, TensorFlow for training Deep Learning model, neural networks and more. You will have a thorough hands-on experience after completing the course.

What you will learn in this Artificial Intelligence course in Canada?

  • Implications of Machine Learning in the AI field
  • Training the Machine Learning system with training data
  • Introduction to TensorFlow
  • Tensor Processing Unit (TPU) programmable accelerator by Google
  • Architecture of Deep Neural Networks (DNNs)
  • Reinforcement learning in DNN
  • Using GPUs in Deep Learning Networks
  • Professionals who have experience in big data domains like Data Science and data analytics. Others with experience in ecommerce and SEO can also avail this course.
  • IT software engineers who want to up skill themselves.

You don’t need to have any basic skillset to go forward in this course.

Uber, Microsoft among many others are keen on hiring talented professionals to their companies in Artificial Intelligence domain. As it is a growing field there has been an increase in the number of vacancies in the recent years to the tune of 500% in Canada. This trend is going to continue and will provide many talented professionals a chance to excel in their career.

As per Indeed.com Machine Learning engineers made up 61% of all the Artificial Intelligence jobs in 2016. Since June 2015, AI and Machine Learning jobs have grown by nearly 500%. As enormous amount of money invested in research this will create equally enormous amount of jobs in future.

Among many AI courses in Canada, the training provided by Intellipaat is the best. They have the best trainers who are heavily experienced in the subject of Deep Learning and Artificial Intelligence. They will imbue all the AI concepts deep into your subconscious. You will get course completion certificate on the completion of the Artificial Intelligence course in Canada which is equal to working in the industry.

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Course Fees

Self Paced Training

  • 24 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$281

Online Classroom preferred

  • Everything in self-paced, plus
  • 32 Hrs of instructor-led training
  • 1:1 doubt resolution sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 11 Jul
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 18 Jul
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 23 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 449 $349 10% OFF Expires in
$0

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Artificial Intelligence Course Content

Module 01 - Introduction to Deep Learning and Neural Networks preview videos

1.1 Field of machine learning, its impact on the field of artificial intelligence
1.2 The benefits of machine learning w.r.t. Traditional methodologies
1.3 Deep learning introduction and how it is different from all other machine learning methods
1.4 Classification and regression in supervised learning
1.5 Clustering and association in unsupervised learning, algorithms that are used in these categories
1.6 Introduction to ai and neural networks
1.7 Machine learning concepts
1.8 Supervised learning with neural networks
1.9 Fundamentals of statistics, hypothesis testing, probability distributions, and hidden markov models.

2.1 Multi-layer network introduction, regularization, deep neural networks
2.2 Multi-layer perceptron
2.3 Overfitting and capacity
2.4 Neural network hyperparameters, logic gates
2.5 Different activation functions used in neural networks, including relu, softmax, sigmoid and hyperbolic functions
2.6 Back propagation, forward propagation, convergence, hyperparameters, and overfitting.

3.1 Various methods that are used to train artificial neural networks
3.2 Perceptron learning rule, gradient descent rule, tuning the learning rate, regularization techniques, optimization techniques
3.3 Stochastic process, vanishing gradients, transfer learning, regression techniques,
3.4 Lasso l1 and ridge l2, unsupervised pre-training, xavier initialization.

4.1 Understanding how deep learning works
4.2 Activation functions, illustrating perceptron, perceptron training
4.3 multi-layer perceptron, key parameters of perceptron;
4.4 Tensorflow introduction and its open-source software library that is used to design, create and train
4.5 Deep learning models followed by google’s tensor processing unit (tpu) programmable ai
4.6 Python libraries in tensorflow, code basics, variables, constants, placeholders
4.7 Graph visualization, use-case implementation, keras, and more.

5.1 Keras high-level neural network for working on top of tensorflow
5.2 Defining complex multi-output models
5.3 Composing models using keras
5.3 Sequential and functional composition, batch normalization
5.4 Deploying keras with tensorboard, and neural network training process customization.

6.1 Using tflearn api to implement neural networks
6.2 Defining and composing models, and deploying tensorboard

7.1 Mapping the human mind with deep neural networks (dnns)
7.2 Several building blocks of artificial neural networks (anns)
7.3 The architecture of dnn and its building blocks
7.4 Reinforcement learning in dnn concepts, various parameters, layers, and optimization algorithms in dnn, and activation functions.

8.1 What is a convolutional neural network?
8.2 Understanding the architecture and use-cases of cnn
8.3‘What is a pooling layer?’ how to visualize using cnn
8.4 How to fine-tune a convolutional neural network
8.5 What is transfer learning?
8.6 Understanding recurrent neural networks, kernel filter, feature maps, and pooling, and deploying convolutional neural networks in tensorflow.

9.1 Introduction to the rnn model
9.2 Use cases of rnn, modeling sequences
9.3 Rnns with back propagation
9.4 Long short-term memory (lstm)
9.5 Recursive neural tensor network theory, the basic rnn cell, unfolded rnn,  dynamic rnn
9.6 Time-series predictions.

10.1 Gpu’s introduction, ‘how are they different from cpus?,’ the significance of gpus
10.2 Deep learning networks, forward pass and backward pass training techniques
10.3 Gpu constituent with simpler core and concurrent hardware.

11.1 Introduction  rbm and autoencoders
11.2 Deploying rbm for deep neural networks, using rbm for collaborative filtering
11.3 Autoencoders features and applications of autoencoders.

12.1 Image processing
12.2 Natural language processing (nlp) – Speech recognition, and video analytics.

13.1 Automated conversation bots leveraging any of the following descriptive techniques:  Ibm watson, Microsoft’s luis, Open–closed domain bots,
13.2 Generative model, and the sequence to sequence model (lstm).

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Artificial Intelligence Projects

What projects I will be working on during this AI online course?

Project 01: Image Recognition with TensorFlow

Industry: Internet Search

Problem Statement: Creating a Deep Learning model to identify the right object on the Internet as per the user search for the corresponding image

Description: In this project, you will learn how to build a convolutional neural network using Google TensorFlow. You will do the visualization of images using training, providing input images, losses, and distributions of activations and gradients. You will learn to break each image into manageable tiles and input them to the convolutional neural network for the desired result.

Highlights:

  • Constructing a convolutional neural network using TensorFlow
  • Convolutional, dense, and pooling layers of CNNs
  • Filtering images based on user queries

Project 02: Building an AI-based Chatbot using IBM watson LAB

Industry: Ecommerce

Problem Statement: Building a chatbot using Artificial Intelligence

Description: In this project, by understanding the customer needs, you will be able to offer the right services through Artificial Intelligence chatbots. You will learn how to create the right artificial neural network with the right amount of layers to ensure that the customer queries are comprehensible to the Artificial Intelligence chatbot. This will help you understand Natural Language Processing, going beyond keywords, data parsing, and providing the right solutions.

Highlights:

  • Breaking user queries into components
  • Building neural networks with TensorFlow
  • Understanding Natural Language Processing

Project 03: Ecommerce Product Recommendation

Industry: Ecommerce

Problem Statement: Recommending the right products to customers using Artificial Intelligence with TensorFlow

Description: This project involves working with recommender systems to provide the right product recommendation to customers with TensorFlow. You will learn how to use Artificial Intelligence to check for users’ past buying habits, find out the products that go hand-in-hand, and recommend the best products that can be bought together with a particular product.

Highlights:

  • Building neural networks with TensorFlow
  • Looking at huge amounts of data and gaining insights
  • Building a recommendation engine with TensorFlow Graph
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Artificial Intelligence Certification

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The entire content of this AI course is developed by leading AI professionals to help you find the best artificial intelligence engineering job at the top MNCs. During the certification training, you will work on real-world projects that will help evaluate your skills and learning in real-time business scenarios, thus helping you accelerate your career effortlessly.

Upon the completion of this artificial intelligence online course, there will be quizzes that reflect the type of questions asked in the certification examination and will help you score better.

Intellipaat Course Completion Certification will be awarded on the completion of the project work (after the expert review) and upon scoring at least 60 percent marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

Our Alumni works at top 3000+ companies

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Artificial Intelligence Training Review

course-reviews

Mr Yoga

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John Chioles

course-reviews

Ritesh

course-reviews

Dileep & Ajay

course-reviews

Sagar

course-reviews

Ashok

Gajraj Singh

Artificial Intelligence Programmer at Accenture

Intellipaat offered fully updated learning material for the best Artificial Intelligence training. The video quality and other course materials were appreciable. I would definitely recommend Intellipaat's AI training to my friends.

Mary Jain

Senior Machine Learning Expert at Microsoft

Artificial Intelligence trainers of Intellipaat simplified the topics of Artificial Intelligence, Machine Learning, and TensorFlow to help even an average learner grasp these toughest concepts. Thank you, Intellipaat!

Samar Jain

Business Analyst at McKinsey & Company

Intellipaat Artificial Intelligence training had great projects in building chatbots and other cool real-world applications. The entire certification training course was up to the mark. I found it one of the best AI courses online.

Frequently Asked Questions on Artificial Intelligence

What is Intellipaat’s Artificial Intelligence online course?

Our Artificial Intelligence online training involves the simultaneous participation of both learners and instructors in an online environment. Being a learner, you can log in to our applied AI course sessions from anywhere and attend the class without having to be present physically. Also, we record the proceedings of all AI classes and equip you with them to further enhance your learning process. On the completion of this AI training online, your experience will be equivalent to that of a professional who has worked for 6 months in the industry.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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Find Artificial Intelligence Training in other cities

Bangalore, Chennai, Delhi, Hyderabad, India, Mumbai, Pune, New York, Chicago, Dubai, Houston, London, Jersey, Los Angeles, Melbourne, San Francisco, San Jose, Singapore, Sydney, and Toronto

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