Data Privacy and AI: Compliance and Best Practices

Provides a thorough understanding of data privacy regulations, ethical considerations, and best practices for managing sensitive information in the context of AI projects.

Hands-on Activities

• Draft a data privacy checklist for an AI project.
• Conduct a privacy risk assessment of an existing dataset.

Duration

1 day

Upon completion of this course, the student will:

• Understand relevant data privacy regulations and how they apply to AI.
• Learn techniques for data anonymization and de- identification.
• Develop a data privacy impact assessment framework for AI projects.

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.