Introduction to Responsible AI in Practice Training in Canada

  • Learn via: Classroom
  • Duration: 1 Day
  • Price: From €1,170+VAT
We can host this training at your preferred location. Contact us!

In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus.

The development of AI has created new opportunities to improve the lives of people around the world, from business to healthcare to education. It has also raised new questions about the best way to build fairness, interpretability, privacy, and safety into these systems.

In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.



Is This The Right Course?

  • Familiarity with basic concepts of machine learning
  • Familiarity with basic concepts of generative AI on Google Cloud in Vertex AI

Who Should Attend?

Machine learning practitioners and AI application developers wanting to leverage generative AI in a responsible manner.

  • Familiarity with basic concepts of machine learning
  • Familiarity with basic concepts of generative AI on Google Cloud in Vertex AI

Students will learn,

  • Overview of Responsible AI principles and practices
  • Implement processes to check for unfair biases within machine learning models
  • Explore techniques to interpret the behavior of machine learning models in a human-understandable manner
  • Create processes that enforce the privacy of sensitive data in machine learning applications
  • Understand techniques to ensure safety for generative AI-powered applications

Module 1: AI Principles and Responsible AI

  • Google's AI Principles
  • Responsible AI practices
  • General best practices

Module 2: Fairness in AI

  • Overview of Fairness in AI
  • Examples of tools to study fairness of datasets and models

Module 3: Interpretability of AI

  • Overview of Interpretability in AI
  • Metric selection
  • Taxonomy of explainability in ML Models
  • Examples of tools to study interpretability

Module 4: Privacy in ML

  • Overview of Privacy in ML
  • Data security
  • Model security
  • Security for Generative AI on Google Cloud

Module 5: AI Safety

  • Overview of AI Safety
  • Adversarial testing
  • Safety in Gen AI Studio


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

08 January 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
08 January 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
10 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
10 February 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
13 March 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
04 April 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
13 March 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
08 April 2025 (1 Day)
Toronto, Montreal, Calgary
Classroom / Virtual Classroom
Introduction to Responsible AI in Practice Training Course in Canada

Canada is a North American country. Known as the second-largest country of the world, Canada’s capital city is Ottawa. Toronto, Vancouver and Montreal are the biggest and most popular cities of this country. The 8,891-kilometer southern and western border between Canada and the United States is the world's longest intergovernmental land border. This country also has the longest coastline in the world.

Canada is a constitutional monarchy. The country was originally a British Empire colony and is now a part of the British Commonwealth. Both French and English are Canada’s official languages. Canada’s national animal is a beaver and the its flag design is a vertical triband of red and white with a red maple leaf charged in the centre. Some of the top-rated tourist attractions in Canada are Niagara Falls, Banff National Park and Rocky Mountains, CN Tower in Toronto City, Bay of Fundy, Old Quebec (Vieux-Quebec in French), the ski resort of Whistler, Ottawa's Parliament Hill and Vancouver Island.

Choose from our extensive selection of IT courses, covering programming, data analytics, software development, business skills, cloud computing, cybersecurity, project management. Our highly skilled instructors will deliver hands-on training and valuable insights at a location of your choice within Canada.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.