Content Comparison

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We hope this program will provide you with the tools and knowledge you need to excel in your role and achieve your career goals.

•  WatchWhat is Synthetic Data
•  Read the “Synthetic data: all you need to know” post
•  Read the "Time to define synthetic data" post

•  MOSTLY AI Product Demo

•  Watch the fun & educational video Artificial Intelligence: Last Week Tonight with John Oliver

•  MOSTLY AI overview about Synthetic Data

• What is synthetic data?

• Why use synthetic data?

• Why MOSTLY AI?

  The answers are here.

•  Responsible AI, Fairness and Explainable AI

• What is Responsible AI?

• What are the principles of Responsible AI?

• How is Responsible AI different to Ethical AI or Trustworthy AI?

• Why is Responsible AI important? Why now? And for whom?

• What are the challenges of Responsible AI?

• How can MOSTLY AI help with RAI?

Find the answers to these questions here.

•  Privacy - Learn about more about Synthetic Data Privacy in general and MOSTLY AI Synthetic Data Platform Privacy Features in particular /wiki/spaces/MSSI/pages/588480801.

•  Privacy Enhancing Technologies (PET) here.

•  General Data Basics here.

•  General Data Types here.

•  Everything you always wanted to know about Synthetic Data - A Guest Lecture @ Imperial College London

• Part I (2022)

• Part II (2022)

• Update with references to the Anonymeter (2023)

•  Data processing in the GDPR context- on this video MOSTLY AI's Legal Counsel tries to clarify if "synthesizing = processing? in the GDPR context".

•  Learn with the tutorials:

•  Read the "Amp It Up: synthetic population data at scale" blogpost

•  Read the Guide to Data Anonymization

•  Check the /wiki/spaces/MS/pages/659226625

•  Browse through the MOSTLY AI Mini Meetups and watch the ones that are more relevant for your role.

•  Enroll on the “Synthetic Data as the Future of AI Privacy, Explainability, and Fairness: An Introduction for Data Scientists and Data Executives“ the by our colleague Alexandra Ebert on LinkedIn (if the course is not available for free, you can trigger a 1 month free trial)

[Optional] By the end of the this course, you will have acquired a lot of knowledge and that is something worth celebrating. 👏 If you’re up to it, please share your achievements with your network. Examples: Alex Ichim, Michael Peter, Alex Zojer, George Loizou.

•  Enroll on the AI For Everyone training by Coursera

•  Celebrate! 🥳

Congrats on acing your learning path about our awesome product! You've officially leveled up and are now a MOSTLY AI & Synthetic Data pro. Let's keep the learning journey going! 🚀