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Course Description

Learn to apply ethical frames of reference to professional applications of artificial intelligence and to use practical data methods to solve ethical problems when engaging in AI at work. With the rise in algorithmic and AI decision-making, autonomous systems, and machine learning, gain skills in executing ethical oversight and regulatory adherence in order to ensure that AI remains trustworthy in the dissemination of information and in the protection of individual rights.

AI is for everyone, and not only for Science, Technology, Engineering and Math professionals. AI domains such as machine learning, deep learning, neural network frameworks and predictive analytics are recognized as having significant and growing importance to organizational performance in the development of private sector-delivered services and products; and to telecommunications, supply chain/transport, finance, insurance, research, energy management, law enforcement, marketing, and government institutions.

No previous background is required. This course is offered through in-class course delivery, in on-campus computer lab facilities.

What Will You Learn?

Relevant, timely, and effective education in AI, machine learning, deep learning and neural network framework foundations, AI projects, AI applications, and AI transformation in companies.

Learn how to:

  • Utilize fundamental concepts and techniques of AI and its applications for business success.
  • Develop foundational AI, machine learning and deep learning applications to achieve solutions to real business problems.
  • Apply neural network frameworks and machine learning to complete a foundational AI project.
  • Know which direction to go next and how to extend and further enrich your gained AI knowledge and experience.

Tools:

Programming Tools

  • Python (Introductory)

Data Collection and Storage Tools

  • MySQL

Advanced AI Tools

  • Scikit-learn
  • WEKA
  • TensorFlow
  • Theano
  • Apache Spark

This course provides training on cutting edge technology to learn from scratch and enrich AI, machine learning and deep learning skill sets and understanding for business enterprise applications.

Who Should Enrol?

This certificate is intended for individuals with no prior background in the subject who wish to enrich their knowledge and learn the foundational business components to AI. This includes current and aspiring employees in both public and private corporations and government entities.

You may be interested if you are or wish to become a:

  • AI Business Team Lead
  • AI Specialist
  • Machine Learning Specialist

Industry and Careers

The skills taught in this certificate are applicable across almost all sectors. In particular, these skills are especially useful for those aspiring to be or are already working as:

  • Business professionals
  • Business Analysts
  • Financial Analysts
  • Data Analysts
  • Applied Statisticians

Contact Us

Questions? Contact Anne-Marie Brinsmead, Program Director.

Email: a2brinsm@ryerson.ca

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Course Sections

Class Number
5973
Type
LEC
Days
M
Time
6:30PM to 9:30PM
Dates
Sep 09, 2019 to Dec 09, 2019
Schedule
Contact Hours
3.0
Delivery Options
Classroom  
Compulsory Fees
Domestic Fee non-credit $1,008.67 Click here to get more information
International Fee non-credit $0.00 Click here to get more information
Class Number
1911
Type
LEC
Days
M
Time
6:00PM to 9:00PM
Dates
May 04, 2020 to Aug 10, 2020
Schedule
Contact Hours
3.0
Delivery Options
Classroom  
Compulsory Fees
Domestic Fee non-credit $1,008.67 Click here to get more information
International Fee non-credit $0.00 Click here to get more information