About the Program

  • About the Artificial Intelligence Engineer Master's program developed in collaboration with IBM

    IBM is currently identified as a leader in the 2021 Gartner Magic Quadrant for Cloud AI Developer Services Reports. Students of this Artificial Intelligence course in Toronto learn through an integrated blended learning journey developed as an IBM partnership, packed with the all right skills needed to become Artificial Intelligence and Data Science experts today. Students are expected to be very much work-ready, and geared up for today's Artificial Intelligence and Data Science job responsibilities on completing this cutting-edge Artificial Intelligence course in Toronto, offered as an IBM-partnered program. IBM, located in Armonk, New York, is a major cognitive solutions and cloud platform firm that provides a wide range of technology and consulting services. IBM has been involved in research since its inception. Each year, IBM invests several billion dollars in research and development.

    What Can I Expect From This Simplilearn Program Developed In Collaboration With IBM? 

    You will obtain credentials from IBM and Simplilearn in the Artificial Intelligence course in Toronto on completing the Master's program. These certificates will attest to your abilities as an Artificial Intelligence expert. In addition, you will receive the following upon completion of this artificial intelligence course in Toronto.

    • IBM cloud credits worth USD 1200 that you can use for hands-on experience 
    • Access to IBM cloud platforms, including IBM Watson and other tools
    • Industry-recognized Simplilearn Master's Certificate

    Many other benefits you can get from artificial Intelligence Course In Toronto

    IBM Certificate

  • What are the learning objectives of this Artificial Intelligence course in Toronto?

    The Simplilearn and IBM partnered Artificial Intelligence Engineer Master's Program included key topics comprising Artificial Intelligence, Data Science, Machine Learning, and Deep Learning to get learners to grasp the application of advanced models or tools in the real-world. The curriculum taught in Simplilearn's Artificial Intelligence course in Toronto is set up to provide a 360 degree mastery of AI topics, which includes key statistical fundamentals used in Data Science, ML, and Python programming.

    In this AI course in Toronto, you will learn:

    • Artificial Intelligence (AI) Fundamentals
    • Basic techniques of Machine Learning
    • Python Libraries
    • Google TensorFlow: An Overview
    • Knowledge of the Tensor Processing Unit in depth
    • Natural language processing, image recognition

  • What skills will be covered in this Artificial Intelligence course in Toronto?

    You will be able to do the following by the end of the Artificial Intelligence Course In Toronto :

    • Understand Artificial Intelligence's meaning, purpose, scope, stages, applications, and impacts through this AI Course In Toronto
    • Implement various classification and regression strategies using machine learning techniques.
    • Use the fundamentals of Python text processing.
    • Understanding the fundamentals of heuristic search and genetic programming, as well as developing AI games.
    • Create intelligent applications based on photos, text, and time-series data by building intelligent systems.
    • Take advantage of the NumPy and SciPy library to do high-level mathematical and technical computing efforts and using Pandas library for doing data analysis.
    • Understand TensorFlow concepts, functions, operations, and the execution pipeline.

  • What projects are included in this Artificial Intelligence course in Toronto?

    Over 15 real-life branded projects in various domains are included in this Artificial Intelligence course in Toronto. These projects offer you the opportunity to apply what you have learned in supervised/unsupervised learning, SVMs, convolutional neural networks, deep learning, TensorFlow, reinforcement learning, TensorFlow, neural, and recurrent neural networks, and many others.

    This Artificial Intelligence Course In Toronto includes a capstone project that allows you to review the topics you learned throughout the program. You'll take dedicated, supervised classes to build a high-quality industry project that addresses a real-world problem. From exploratory data analysis to model design and fitting, the capstone project will cover all the bases. 

    To complete the capstone project, you will use cutting-edge Artificial Intelligence-based supervised and unsupervised algorithms in the domain of your choice. You will have to apply several models, including Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP. You will have a certificate attesting to your capstone credential on finishing project successfully, and also have the opportunity to showcase cutting-edge project work to employers to validate your expertise.

    Project 1: Uber Fare Forecasting | Domain: Delivery (Commerce)

    Uber, one of the major taxi companies in the United States, seeks to increase the accuracy of fare predictions for any trip. Assist Uber by creating and selecting the best model.

    Project 2: Mercedes-Benz test bench time reduction | Domain: Automobile

    Mercedes-Benz, a worldwide German automaker, aims to cut down on the amount of time it spends on the test bench for any given vehicle. Faster testing will shorten the time it takes to get a product to market. To achieve the stated goal, build and optimize the algorithm using dimensionality reduction and various techniques such as XGBoost.

    Project 3: Predicting Amazon product ratings | Domain: E-commerce

    One of the top US-based e-commerce companies, Amazon, recommends products within the same category to customers based on their activity and reviews on similar products. Amazon hopes to improve its recommendation engine by projecting non-rated product ratings and including them in suggestions based on those projections.

    Project 4: Walmart Demand Forecasting | Domain: Sales

    Predict correct sales for 45 Walmart shops, one of the largest US-based retailers, taking into account the influence of promotional markdown events. Examine whether macroeconomic factors such as the CPI, unemployment rate, and so on have an impact on sales.

    Project 5: Improving Comcast's customer experience | Domain: Telecom

    Comcast, a mega US corp in the global telecommunications industry, intends to identify and resolve issue areas and significantly improve its customer happiness numbers. The organization is also searching for critical tips that may be put into action to provide the best possible customer service.

    Project 6: IBM Attrition Analysis | Domain: Workforce Analytics 

    IBM, one of the largest IT businesses in the United States, wants to know what variables impact employee churn. The organization, in addition wants to develop a statistical model (logistical regression based) on the factors mentioned inorder to analytically determine if and when employee churn can occur.

    Project 7: Analysis of Toronto 311 Service Requests |Domain: Telecommunications 

    Analyze the data from New York City 311 calls for service requests. You'll concentrate on data wrangling techniques to decipher data trends and show the most common complaint kinds.

    Project 8: Analysis of MovieLens Datasets | Domain: Engineering

    The GroupLens Research Project is a research group at the University of Minnesota's Computer Science and Engineering Department. This group's researchers are working on many initiatives in the areas of collaborative filtering, information filtering, and recommender systems. For user datasets, we ask you to do an analysis utilizing the Exploratory Data Analysis technique.

    Project 9: Stock Market Data Analysis | Domain: Stock Market Data Analysis

    You will import data from the companies Yahoo, Apple, Amazon, Microsoft, and Google as part of this project using the Yahoo data reader. You'll need to leverage analytics (fundamental) and do closing price, and stock trades volume plotting, do return analysis (daily), and find out correlation among the stocks by leveraging pair plots.

  • Who should take this Artificial Intelligence course in Toronto?

    This Artificial Intelligence Course In Toronto is appropriate for a variety of positions and specialties, including:

    • Experts in machine learning
    • Information Architects, Developers, and Analysts
    • Professionals who want to broaden their horizon in this field
    • Graduates interested in pursuing a career in artificial intelligence and machine learning are encouraged to apply.

  • What Are The Perquisites For This Artificial Intelligence Course?

    The following are the requirements for enrolling in an Artificial Intelligence Course In Toronto:

    • Working knowledge of the Python programming language's fundamentals. 
    • Fundamental statistical expertise is required.

  • What are my job opportunities on completing this Simplilearn IBM co-developed Artificial Intelligence course in Toronto?

    You will have the abilities needed to help you obtain a dream career after completing the Artificial Intelligence Course In Toronto co-developed with IBM. The following are some of the jobs that are appropriate for AI trained professionals through the AI Course In Toronto:

    • Business Intelligence Developer
    • Data Scientist
    • Machine Learning Engineer
    • Research Scientist
    • AI Data Analyst
    • AI Engineer

  • Why become an AI Engineer?

    The artificial intelligence industry is today rising at hyper speed. Since 2015, the number of job listings in the field of artificial intelligence and machine learning has increased. As of July 28, 2021, the average Principal AI Engineer salary ranges from $129,230 to $163,279 in top cities. (Source: salary.com). Completing an AI course in Toronto can help you get your dream job.

Tools Covered

pythonNLKTFlaskScikitLearnMatPlotlibDjango-nNumPypandasSciPykerasOpen CVtensorflowChatGPTDalle.2Mid-journey

AI Certification Learning Path

  • Course 1Online Classroom Flexi Pass

    Essentials of Generative AI, Prompt Engineering & ChatGPT

    Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.

    Read More
  • Course 2Online Classroom Flexi Pass

    Programming Essentials

    Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.

    Read More
  • Course 3

    Python for Data Science by IBM

    Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.

    Read More
  • Course 4Online Classroom Flexi Pass

    Applied Data Science with Python

    The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.

    Read More
  • Course 5Online Classroom Flexi Pass

    Machine Learning

    Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.

    Read More
  • Course 6Online Classroom Flexi Pass

    Deep Learning Specialization

    Differentiate deep learning from machine learning. Explore various neural network types. Excel at forward and backward propagation in deep neural networks. Introduce modeling and performance enhancement in deep learning. Understand hyperparameter tuning and model interpretability. Learn dropout and early stopping implementation. Master CNNs, object detection, and RNN fundamentals. Grasp PyTorch basics and neural network creation.

    Read More
  • Course 7

    AI Engineer Capstone

    The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project will help you showcase your expertise to employers.

    Read More
  • Master's Program Certificate

  • Electives

    Deep Learning with Keras and TensorFlow by IBM

  • Electives

    ADL & Computer Vision

  • Electives

    Natural Language Processing (NLP)

  • Electives

    Reinforcement Learning

  • Electives

    Advanced Generative AI

  • Electives

    Industry Master Class – Artificial Intelligence

Get Ahead with Simplilearn's AI Master Certificate

Get Ahead with Simplilearn's AI Master Certificate

Earn your Artificial Intelligence Masters Certificate

Our Masters in Artificial Intelligence is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with an AI Masters Certificate

The knowledge and AI skills you've gained working on projects, simulations, and case studies will set you ahead of the competition.

Share your achievement

Talk about your AI masters certificate on LinkedIn, Twitter, and Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

AI Masters Certificatein Toronto

Artificial Intelligence Course Reviews

  • DeAngelo Kelly

    DeAngelo Kelly

    Artificial Intelligence Engineer, Washington

    After completing this course, I was considered for new AI projects at my company, and my salary increased by 39%. Simplilearn's flexible learning method helped me manage my job simultaneously while studying.

  • Mark Hayes

    Mark Hayes

    Washington

    I had a great learning experience, overall. The course content met the quality standards and the instructors were highly knowledgeable. The live classes were engaging,too. After the course completion, I am now working as a consultant.

  • Bibhu Dash

    Bibhu Dash

    BDA-Claims Analytics at American Family Insurance, Madison

    I joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the course and hope it will help me in my future career growth.

  • Deepak Gupta

    Deepak Gupta

    Tech Lead - BI, Thane

    Simplilearn's training program helped me understand various aspects of analytics to make better decisions. After the course completion, I got a job in Tech Mahindra as a Tech Lead with a salary hike of 83%.

  • Marco Chan Siu Chung

    Marco Chan Siu Chung

    VP of Technology, Hong Kong

    My learning experience was outstanding. The instructors were industry experts. My favorite feature about the course is the blended learning approach, where one can engage in live classes with the convenience of learning at his own pace. The course curriculum is very well designed and delivered.

  • Venkatesan Sundaram

    Venkatesan Sundaram

    Senior Data Scientist, Dubai

    I absolutely enjoyed my classes at Simplilearn. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts better.

  • Indrakala Nigam Beniwal

    Indrakala Nigam Beniwal

    Technical Consultant, Singapore

    I completed a Master's Program in Artificial Intelligence Engineer with flying colors from Simplilearn. Thanks to the course teachers and others associated with designing such a wonderful learning experience.

  • Janani Varun

    Janani Varun

    Chennai

    I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well.

  • Vishwanath Ragha

    Vishwanath Ragha

    Bangalore

    The awesome learning experience with Simplilearn. So far, I have completed up to the Data Science with Python. All the courses are well structured with self-learning, live classes, and assessment. The trainers are good, connect to students, and answer questions. Happy learning.

  • Leena Jayamohan

    Leena Jayamohan

    Founder & Senior Consultant, Pune

    I took this program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.

  • Sneha Patil

    Sneha Patil

    Mumbai

    I'll give it a five-star rating...I enrolled in this course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome. If you want to explore and gain knowledge, for sure go for Simplilearn.

  • Karan Pal Singh Bagga

    Karan Pal Singh Bagga

    Sr. Data Analyst, Bangalore

    It is my first experience with Simplilearn, and it is fantastic. The course content is excellent as compared to any other institute. Faculties are very experienced and skillful.

  • Sajitha Smiley Masilla Mony

    Sajitha Smiley Masilla Mony

    Lecturer, Kuala Lumpur

    The course curriculum was beneficial in real-world scenarios and was up-to-date. The faculties are skillful and well experienced. The class sessions are very interactive, and the faculties are always ready to clear our doubts to their best. Also, the flexible class helps us to learn the same course with other faculty and gain more knowledge.

  • Shailender Kumar

    Shailender Kumar

    Gurgaon

    The Deep Learning with Tensorflow was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.

  • Sudipta Samanta

    Sudipta Samanta

    Bangalore

    The courses are well-structured with self-learning, live classes, projects & assessment. The trainers are well trained, connect well with the students, and are good at resolving your questions. The course content is excellent.

prevNext

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

AI Training FAQs

  • How do I become an Artificial Intelligence Engineer?

    The Artificial Intelligence course in Toronto will give you an insight into Artificial Intelligence tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.

  • What can I expect from the Artificial Intelligence course in Toronto?

    As a part of this AI online course in Toronto co-developed with IBM, you will receive the following:
     

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
       
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
       
    • $1200 USD worth of IBM cloud credits that you can leverage for hands-on exposure
       
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • How do I earn the AI Masters Program Certificate?

    You will be entitled to acquire the Masters in AI certificate, which will attest to your AI engineer abilities, provided you meet the following minimum requirements.

    Course Course completion certificate Criteria

    Introduction to Artificial Intelligence Course
    Required 85% of Online Self-paced completion and Pass Assessment test at 80%
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, a score above 75% in course-end assessment, and successful evaluation in at least 1 project
    Machine Learning Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom and successful evaluation in at least 1 project

    Deep Learning with Keras and TensorFlow
    Required Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment.
    Advanced Deep Learning and Computer Vision Required Attend 1 LVC batch, Pass a Project, Pass an Assessment test 70%
    AI Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • For which courses will I be granted an IBM certification?

    The courses for which you will receive IBM credentials are as follows:

    • Python for Data Science
    • Deep Learning with Keras and Tensorflow

  • How do I enroll for the Artificial Intelligence course in Toronto?

    You can enroll in this AI training in Toronto on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email. 

  • To master artificial intelligence, what main talents are required?

    Math principles such as statistics, probability, linear algebra, calculus, and Bayesian algorithms should be understood by professionals who want to start AI careers. Statistics, learning theory, problem-solving, classical mechanics, and language processing are all skills they'll need. It is also suggested that you know at least one programming language, data structure, and logic.

  • What types of jobs can you get with an Artificial Intelligence background?

    Professionals with a thorough knowledge of AI ideas have many opportunities. They can apply for AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, and Data Scientist.

  • What sectors make the most effective use of AI?

    The following are the top ten industries that are heavily utilizing AI applications:

    • Education
    • Healthcare & Medicine
    • Retail and E-commerce
    • Food Technology
    • Banking and Finance
    • Logistics and Transportation
    • Travel
    • Real Estate
    • Entertainment and Sports
    • Manufacturing

  • Suppose I am unable to access the AI courses over the internet. Who could assist me?

    Use the form on the right of any page on the Simplilearn website to contact us, or use the Live Chat link or Request a callback.

  • Are NLP courses necessary for becoming an Artificial Intelligence Engineer?

    While not mandatory, NLP courses can greatly benefit individuals pursuing a career as an Artificial Intelligence Engineer. Natural Language Processing (NLP) is a key subfield of AI that deals with understanding and processing human language. Taking NLP courses can provide you with specialized knowledge and techniques required to develop advanced AI models that can comprehend and generate human language.

Find AI & Machine Learning Programs in Toronto

Post Graduate Program in AI and Machine Learning
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.