1 2

Designing Privacy

Privacy Engineering in AI Systems Certificate

Privacy Engineering in AI Systems Certificate

$1,900.00 CAD
$1,700.00 CAD $1,900.00 CAD
Sale Sold out

Special introductory pricing only available until July 31st

Select your program:

Program

Unlock your potential and achieve success selecting and implementing AI-enabled systems.

Start your journey towards mastering the skills necessary for AI systems.

Sign up today and get your Certificate in 4 months or less from the time you start!

Program starts September 9th, 2024. Course lasts 12 weeks, with a final exam for the Certificate.

    Course Description

    Our 12-week intensive course, Privacy Engineers in AI Systems Certificate, delves deep into AI system enablement. We teach the foundations necessary for AI governance, and go beyond other courses by practical applications of use cases and exercises. Use cases apply and adapt techniques from industry-related frameworks and standards, and provide instruction on practical tools. Exercises provide you experience applying knowledge to an AI-related initiative of your choice.

    This course equips you as either as a legal professional or a privacy engineer. The hands-on experience during the course will establish you with relevant and valuable AI skills and knowledge. You’ll be able to thoroughly understand how AI capabilities may integrate into existing systems and processes. Our Certificate will stand out with any employer as it is backed up by over 40 years of expertise, professional standards and practical application by our distinguished lecturers.

    What You'll Learn

    After completing this course, you will possess the ability to:

    • Understand the fundamentals of AI and AI Governance
    • Identify and prioritise AI opportunities tailored to your organisation
    • Document the necessary information for a well-formed AI use case
    • Evaluate and prioritise AI opportunities from various stakeholder perspectives, including People & Planet, Economic Context, Data & Input, AI Model, and Task & Output.
    • Establish an effective AI governance model for your organisation to work cross-functionally on AI-related initiatives
    • Establish knowledge of existing and emerging AI standards, laws, and guidance, and how to combine these into an internal framework
    • Identify an AI risk model, and align it to existing risk management frameworks and processes
    • Guide your business and software engineers to integrate AI following best practices and industry standards
    • Effectively manage and minimise AI risk and harms throughout the solution implementation lifecycle.
    • Speak to the value and benefits of Privacy Engineering AI Systems, beyond just compliance with AI and existing regulations.

    Modules

    The course is divided in 12 modules taking the learner from the basics into Privacy Engineering, Privacy Engineering in AI and AI lifecycle, existing frameworks and authoritative resources through to a Capstone project and a certification exam.

    Format

    The sessions are online and the discussions in class are on practical case studies to ensure the learners take the concepts studied and turn them into a practical application which can serve them in their current role or a future desired role in their career.

    Our classes are small - we pay individual attention to each participant.

    Course Instructors

    • Amalia Barthel, CDPSE, CRISC, CIPP/T, CIPM, PMP, CISM
    • Eric Lybeck, MBA, CIPT, CIPP/US and Director, Privacy Engineering at Privacy Code
    View full details

    Your common questions

    FAQs

    How many classes will there be per week?

    There will be 1 class per week.

    What time will the classes be held at?

    Classes will take place during the evening to accommodate both EST and PST time zones.

    How long will classes last?

    Classes will be between 1.5 and 2 hours long to discuss case studies and practical examples.

    How many modules will there be?

    There will be 12 modules.

    Will there be assignments?

    Yes, there will 2 assignments.

    Will there be an exam?

    Yes, there will be a certification exam at the end of the course.

    How long does the course last?

    The course will last 14 weeks in total: 12 weeks of learning (1 module per week), followed by 2 weeks of study. The course will end with a certification exam.

    Your Instructors

    • Amalia Barthel

      M.Sc., CIPM, CIPT, CDPSE, CRISC, CISM, PMP

      Independent Digital Risk and Privacy Consultant & Advisor, and Lecturer and Academic Programs Advisor for University of Toronto, SCS (School of Continuing Studies)

      • IT insider and specialist
      • Privacy, Privacy Engineer, and IT Risk Management influencer
      • 20+ years experience, and a passionate advocate for protecting personal data of individuals
      • Author, frequent speaker on webinars with prestigious compliance associations, and lecturer for the Ryerson Cybersecurity Catalyst program and Maastrict University, Faculty of Law, European Centre on Privacy and Cybersecurity (ECPC) program
      • Contributor to the acclaimed book, “The Privacy Leader Compass”
      • Led creation of the Privacy Management Certificate program with the School of Continuing Studies at University of Toronto, as well as the Enterprise IT Risk Management and Cybersecurity course (over 400 students)


      Amalia was independently voted TOP 30 Instructor from 800 peers at University of Toronto, School of Continuing Studies

      LinkedIn Profile www.linkedin.com/in/amaliabarthel/

    • Eric Lybeck

      MBA, CIPP/US, CIPT, CIPM

      Independent AI and Privacy Engineering Consultant & Advisor. Eric’s professional experience focuses on privacy management and privacy engineering, and includes:

      • PrivacyCode’s AI-enabled privacy policy translation into repeatable engineering tasks 
      • Establishing the privacy engineering program for a major automobile manufacturer, performing privacy and security threat modeling
      • PwC Cybersecurity & Privacy practice director, focus on Bay Area technology clients, contributed to the privacy programs to meet GDPR, CCPA/CPRA, and other emerging privacy requirements
      • Cargill global privacy leader, established binding corporate rule based privacy program, operations in over 60 countries, over 100,000 employees
      • Co-author to the forthcoming revision and second edition of, “The Privacy Engineer’s Manifesto” by Michelle Dennedy, et al.


      LinkedIn Profile       www.linkedin.com/in/ericlybeck/