Privacy engineering skills make you invaluable to fast-growing companies. Get the resources and support you need to become a privacy engineer. Reduce risk for your company. Fast-track your career.
Data Protocol’s Privacy Engineering Certification is your opportunity to learn from trailblazer and industry leader Nishant Bhajaria. Now’s the time to skill up – quickly, and in a platform designed for you. For a full overview, click here.
Director of Privacy Engineering, Architecture, and Analytics
Nishant Bhajaria is an executive leader and industry-expert in the privacy and security space and currently serves as the Director of Privacy Engineering, Architecture, and Analytics at Uber.
He plays the critical role connecting engineering, legal, and leadership to ensure data protection for both the user and the business. Prior to Uber, Nishant spearheaded compliance and privacy engineering programs at Google, Netflix, and Nike.
In addition to speaking extensively in this space and hosting a data privacy learning series on LinkedIn, Nishant has published a book titled Data Privacy: A Runbook for Engineers - a deep dive into strategies on effectively identifying, communicating, and addressing privacy risks using technical strategies.
Data Protocol trains and certifies software builders in responsible data management. The time to apply privacy training and data best practices is before there is a problem, not after.
Rules, Resources, and Tips When You Need Them
This certification consists of three modules: Governance, Systems, and Execution. After successfully completing each module, you will receive a shareable badge. Once all three modules are complete, you will be eligible to purchase the comprehensive final assessment to earn your Privacy Engineering certification. The fee for the final assessment is $495.
Data classification is the foundation of privacy engineering. If you can’t identify and measure the risk profile of your data, you can’t manage its value, its flow, or its security. This course will teach you how to classify and map data throughout your systems according to its risk level, retention requirements, and access policies.
With a strong foundation of data categorization in place, this course will teach you the techniques to optimize data flow in support of privacy and business operations. Specifically, you will learn about tagging data, building a system architecture to discover data, and measuring the success of your categorization program. These techniques will enable you to identify all of your data and automate privacy.
The importance of data privacy and the rise of privacy engineering has driven innovation and availability of privacy technologies. As a privacy engineer, you have options. Determining what tools to use for your specific needs is an important part of the job. In this course, you will begin to consider what tools you will need to execute your plan, and why. Specifically, you will learn some of the key players in the privacy tooling space, the criteria you should use when shopping for solutions, and the pros and cons of building versus buying.
You have learned how - and why - privacy should be designed into your systems, your processes, and your products. As a privacy engineer, you work to limit risk as early as possible with both a strategic plan and the right tools. It is also your job to maintain the program you’ve designed and built by continually assessing risks and protections. In this course, you will learn a new approach to the traditional privacy review, a process that often occurs too late. Implementing ongoing technical privacy consulting throughout your existing program will reduce risks and avoid costly mitigations.
Once all three modules are complete, you will be eligible to purchase the final assessment and earn your Privacy Engineering certification and badge. The fee for the final assessment is $495.