Want to learn about privacy engineering, privacy technologies or machine learning/AI?

Katharine offers workshops aimed at several audiences built from years of experience teaching these technical topics to varied groups. These workshops build a common understanding and motivation for your team to explore privacy technologies and design future-proof data and AI strategies and data platforms.

If you would like a custom workshop based on your own needs, please reach out to determine the feasibility and cost.

Workshop Engagement

Katharine provides several workshops aimed at a variety of audiences (see below for current list). The workshops are 2-day, 3-day and 5-day offerings. In-person trainings require additional travel and accomodation costs. The following table shows base costs which can vary based on attendee size and content customization. Please contact us to arrange a training and review the materials in more details.

Available Workshops

AI, data and privacy technologies for lawyers

A guided walkthrough of technical topics of interest to privacy professionals and lawyers.

Target Audience: Lawyers and privacy professionals

Outcomes:

• An understanding of AI and machine learning systems and the risks they pose to individual privacy
• Ability to describe how different leading privacy technologies work, how they address particular privacy concerns and when they don't fit
• An interdisciplinary walkthrough of architecture auditing and assessment for technical privacy risk
• A starting glossary between engineering, legal and privacy teams that helps bridge multidisciplinary divides and connect communication and understanding

A Hands-on Walk-Through of Practical Data Privacy (the book)

Covering differential privacy, federated learning and encrypted computation and integration ideas for normal data, AI and machine learning workflows.

Target Audience: Technologists with at least 1-2 years of data work experience.

Outcomes:

• A theoretical and practical view of today's leading data privacy controls and technologies
• Example code to get started that fits your normal workflows
• Internal team understanding and language around data privacy risks and controls in AI/ML systems
• One-on-one help from an expert on fitting privacy technologies to your problem or use case

NOTE: An earlier version of this workshop series was successfully launched as the Thoughtworks' Privacy Champions internal training, which graduated more than 100 people in the initial rollout.

Architecting Privacy-First AI and data systems

Futureproofing your architectures with privacy and security built-in

Target Audience: Data decision makers, architects, platform engineers, AI & MLOps engineers.

Outcomes:

• An contextual understanding of privacy by design in today's large-scale data architectures and systems means
• A risk assessment and review framework that focuses on interdisciplinary interaction, building customer trust while achieving business goals
• A data strategy review where compliance, consumer trust and privacy-first are integrated into the company's goals and trajectory
• An architectural review and platform roadmap workflow informed by the business goals, compliance and security requirements and the company's privacy-first vision

Pentesting AI systems for Privacy

An interactive walk-through of privacy and security risks in ML/AI and data systems

Target Audience: Security professionals, AI and ML Engineers

Outcomes:

• A theoretical and practical understanding of security and privacy problems in machine learning / AI systems
• A hands-on toolkit of different types of privacy and security attacks on machine learning and AI systems
• A risk framework for reasoning about AI system design and model architecture
• An overview of controls and interventions that mitigate privacy and security risks

To arrange a training, please contact us. Occasional public trainings will be offered in 2025, so stay tuned!