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Course PreviewThe Artificial Intelligence (AI) course in Toronto, Canada, will help you master all the latest concepts and tools used for AI, such as regression, supervised learning, NLP, statistics, Git, PySpark, and many more advanced topics.
Through this artificial intelligence course in Toronto, Canada, you will able to master the below-mentioned skills:
Anybody can take up this AI training 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 in 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 the AI market in Toronto.
Today, artificial intelligence has conquered almost every industry. Within a year or two, nearly 80% 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 AI course in Toronto.
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Here are a few reasons why artificial intelligence is a great career option:
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| Country | Job Opportunities | Average Annual Salary (USD) |
| United States | 35,000+ | $114,000 |
| Canada | 50,000+ | $255,422 |
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From the Indian National Academy of Engineering, his research area includes data mining, process design and optimization, FDD, etc. He has co-authored several reconciliation papers and a course book, ‘Data Science for Engineers’ on the NPTEL platform.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in controller performance monitoring, time-frequency analysis of processes, fuel cells, etc.
Dr. Babji Srinivasan is an assistant professor in the Department of Applied Mechanics at IIT Madras. He holds a PhD from Texas Tech University, and his research interests span from behavioral informatics to cognitive systems engineering.
He is an assistant professor in the biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests include the modeling and optimization of biological networks and Machine Learning.
Suresh Ramadurai is involved in teaching market research as a visiting faculty member at various IIMs and in training analytics professionals. He is an IIT Delhi graduate with a degree in chemical engineering and holds a PG Diploma in Management from IIM Bangalore.
Dr. Ravi Hegde, who holds a PhD from the University of Michigan, Ann Arbor, has over 22 years of experience specializing in the intersections of nanotechnology and AI, nanophotonics for beyond-moore computing, and immersive sensing.
He has over 15 years of expertise handling various analytics projects, using several ML algorithms in multiple business domains. He has extensive knowledge of SAS, SQL, R, and Python and is proficient in big data environments.
Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.
Phaneendra Akula is currently working at Sunrise Biztech Systems Private Limited. He has more than nine years of experience in data science and has worked in prestigious companies like Genpact, TCS, and Tesco.
Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in renowned companies like Accenture, Walmart, Emeritus, and many more.
He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.
Vishwath Parthasarathy is a data scientist-III at InMobi. He has also worked at Amazon and PipeCandy. His expertise extends to machine learning, deep learning, MLOps, and algorithmic trading. He has been working as a data scientist since 2017.
Dr. Jayadev completed his Ph.D. from IIT Madras. He is currently employed as a Senior Data Scientist at GyanData and has over 11 years of experience, including working as a Project Associate at IIT Madras.
Data Science
Python
Data Analysis
Git
AI
MLOps
SQL
Data Wrangling
Prediction Algorithms
Statistics and Probability
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Generative AI
PySpark
Data Visualization
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The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.
Artificial Intelligence Assignments and Projects
The entire content of this Artificial intelligence course in Toronto is developed by leading AI professionals and IIT faculty to help you find the top artificial intelligence Engineering jobs at top MNCs. During the AI 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 AI course in Toronto, there will be quizzes that reflect the type of questions asked in the respective examination and will help you score better.
Get AI Certification from Intellipaat on the completion of the project work (after expert review) and score at least 60% marks on the quiz. This Artificial intelligence certification is well-recognized by the top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Land Your Dream Job Like Our Alumni
Our artificial intelligence training in Canada involves the participation of both learners and instructors in an online environment. As 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. Upon 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.
