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Our Artificial Intelligence course in Toronto is an industry-designed course for learning TensorFlow, artificial neural networks, perceptron in neural networks, transfer learning in Machine Learning, backpropagation for training networks, etc. through hands-on projects and case studies. Get the best online Artificial Intelligence training in Toronto from Artificial Intelligence certified experts. It is created in collaboration with IBM.
We provide one of the best AI courses in Toronto, Canada, which offers definitive training for mastering the details of AI and Machine Learning. Through this training, you will get hands-on experience in designing artificial neural networks, the techniques of supervised and unsupervised learning, logistic and linear regression, vectorization, binary classification, coding using the Python language for Machine Lear...
Through this Artificial Intelligence course in Toronto, you will able to master the below-mentioned skills:
Anybody can take up this Artificial Intelligence course in Toronto with placement regardless of their prior skills.
Toronto is the financial and commercial capital of Canada. It has some of the biggest and best enterprises that are deploying Artificial Intelligence technologies at scale. If you are trained in Artificial Intelligence along with Deep Learning then you can benefit from the huge number of job opportunities in Artificial Intelligence available in Toronto, Canada.
Toronto is a top technology hub of Canada and futuristic technologies like Artificial Intelligence are extensively deployed in this city making it the hotbed for some really good AI start-ups and also well-entrenched players. Getting the right training in AI can help you make the best use of this boom in AI market in Toronto.
Today, Artificial Intelligence has conquered almost every industry. Within a year or two, nearly 80 percent of emerging technologies will be based on AI. Machine Learning, especially Deep Learning, the most important aspect of Artificial Intelligence, is used by AI-powered recommender systems (chatbots) and search engines for online customer recommendations. Therefore, to remain relevant and gain expertise in this emerging technology, enroll in Intellipaat’s AI course in Toronto.
Here are a few reasons why Artificial Intelligence is a great career option:
This will help you build a solid AI career by grabbing the best Artificial Intelligence Engineer positions in leading organizations.
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Data Scientist | Hyderabad
The expert trainers here helped me acquire all the skills that I required to transfer my career from an Aircraft Maintenance Engineer (AME) to a certified Data Scientist. They taught all the necessary concepts and technologies, in...Read More
Aircraft Maintenance Engineer
Big Data Developer | Dallas
This is a great training program. The mentors and course instructors were interactive throughout the program. This course has helped me upskill myself in the numerous tools and technologies that work with Big Data. The experts hel...Read More
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
My experience in learning from Intellipaat was amazing. The mentors were helpful throughout the course and helped me understand the concepts better by clearing all my doubts. Besides, the comprehensive course material was useful w...Read More
Manager Analytics & Data Science
Data Engineer | Pune
This e-learning institute has been extremely helpful for my career. The training program and interactive live lectures made it easy to master the concepts as per the industry demands. The curriculum was comprehensive and the train...Read More
Program Manager | Pune
Intellipaat served as a great platform for me to learn the latest upgrades and skills in the technology as per industry requirements. I was working as a Microsoft Dynamics Consultant but after taking the training from Intellipaat,...Read More
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
This training helped me master the skills that are required to begin a career in the field of Data Science. The course curriculum allowed me to learn both basic and advanced level concepts in the field which helped me make a smoot...Read More
Data Science Intern
Self Paced Training
Online Classroom Preferred
Module 01 - Introduction to Deep Learning and Neural NetworksPreview
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
Module 02 - Multi-layered Neural NetworksPreview
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.
Module 03 - Artificial Neural Networks and Various MethodsPreview
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
Module 04 - Deep Learning LibrariesPreview
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.
Module 05 - Keras APIPreview
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.
Module 06 - TFLearn API for TensorFlowPreview
Module 07 - Dnns (deep neural networks)Preview
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.
Module 08 - Cnns (convolutional neural networks)Preview
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.
Module 09 - Rnns (recurrent neural networks)Preview
Module 10 - Gpu in deep learningPreview
Module 11- Autoencoders and restricted boltzmann machine (rbm)Preview
Module 12 - Deep learning applicationsPreview
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As part of this assignment, you have to implement an LSTM encoder. Create an input sequence of numbers. Build an LSTM RNN model on top of this data. Compile the model with ‘adam’ to be the optimizer and loss to be ‘mse’. Fit t...Read More
In this assignment, you have to build your convolutional Neural Network using MNIST dataset. For this, you will have to download the MNIST dataset through Keras. You will be asked to fit the dataset to a model and evaluate the loss an...Read More
Binary Classification on ‘Customer_Churn’ Using Keras
In this project, you will have to analyze the data of a telecom company to find insights and stop customers from churning out to other telecom companies. You will be working on data manipulation and visualization, and create 3 different models with the help of Keras.
Face Detection Project
For the project, you will be using Python 3.5(64-bit) with OpenCV for face detection. The system will have to be able to detect multiple faces in a single image. You will be working with essential libraries like cv2 and glob (glob hel...Read More
Build a sequential model using Keras on top of this Diabetes dataset to find out if a patient has diabetes or not. You will use Stochastic Gradient as the optimization algorithm. You will be required to build another sequential model ...Read More
You will be detecting wine fraud using Neural Networks as a part of this assignment. You will use the latest version of SciKit Learn (>0.18). Use the wine data set from the UCI Machine Learning Repository. Import the dataset, split...Read More
AI and Deep Learning Intro Assignment
For this assignment, you will need to install Anaconda on your system with Python version 3.6 or above. Create a TensorFlow environment, download TensorFlow, and download Pandas, Numpy, SciKit-learn, SciPy, Matplotlib in both Anaconda...Read More
As part of the assignment, you will be using an airline-passenger dataset to predict the number of passengers for a particular month. Write a simple function to convert a single column of data into a two-column dataset. You will divide the data into train and test set.
Through this assignment, you will learn to create a session in TensorFlow. You will define constants and perform computations using the session, print ‘Hello World’ using the same, and create a simple Linear Equation, y=mx+c in Te...Read More
In this assignment, you will be required to find out the factors that lead up to a patient having cancer. You will need to load the dataset and print the number of samples and features in the data. Then, you will divide the data into train & and create a network.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
The entire content of this AI course is developed by leading AI professionals to help you find the best a\Artificial Intelligence Engineering jobs at 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 online Artificial Intelligence course in Toronto, there will be quizzes that reflect the type of questions asked in the certification exam and will help you score better.
Intellipaat’s course completion certificate will be awarded on the completion of the project work (after expert review) and scoring at least 60 percent marks in the quiz. This certification is well-recognized by top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Intellipaat offered fully updated learning materials for the best Artificial Intelligence training in Toronto. The quality of the videos and other course materials was appreciable. I would definitely ...Read More
Excellent course, I found Intellipaat's training team to be talented in their respective domain. My training was very good as it helped me in upgrading my skills, which proved to be a turning point in...Read More
The trainers of this Artificial Intelligence course online simplified the topics of Artificial Intelligence, Machine Learning, and TensorFlow to help even an average learner grasp these toughest concepts. Thank you, Intellipaat!
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.
Best training program, My decision to learn from Intellipaat was the best to upgrade my career. This course gave thorough understanding of the subject. I recently completed the course and experienced ...Read More
I had one of the best learning experience at Intellipaat. The projects, assignments, and course content were awesome. I would like to enroll in other courses that are offered by intellipaat.
Great teaching team, All trainers and support team were very helpful and easily reachable. The course content of this program covers all the topics, from basic to advanced modules.
Genuine platform for learning. I finished my course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I ...Read More
Our Artificial Intelligence online training involves the 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 our AI classes to further enhance your learning process. On the completion of this online AI training in Toronto, your experience will be equivalent to that of a professional who has worked for 6 months in the industry.
Intellipaat is the leading provider of Artificial Intelligence courses in Toronto. The courses such as Machine Learning, Data Science, Data Analytics, R programming language, and others help you become job-ready by focusing on the practical implementations of the concepts in real-time live projects.
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 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.