Training > Open Source Best Practice > Inclusive Open Source Community Orientation (LFC102)
Training Course

Inclusive Open Source Community Orientation (LFC102)

Created in collaboration with the National Center for Women & Information Technology (NCWIT), this free orientation course is designed to provide you with essential background knowledge and practical skills to create an inclusive culture in the open source community.

Course Rating
4.6/5 Stars
Who Is It For

This course is for everyone involved or looking to become involved in open source software communities.
read less read more
What You’ll Learn

The content of this course covers facts about diversity in tech, the importance of diversity for innovation, the basics of unconscious and societal bias, and how to recognize the different ways unconscious bias presents itself in technical environments. The course also provides the knowledge and skills to recognize, appreciate, and include people of differing races, ethnicities, genders, ages, abilities and other identity categories and promote inclusivity and diversity in open source communities.
read less read more
What It Prepares You For

By the end of this course, you will gain essential background knowledge and skills to promote inclusivity, diversity and equality in open source communities.
read less read more
Course Outline
Module 1. The Case for Diversity
Module 2. Unconscious Bias, Racism and Sexism
Module 3. Making Change

There are no requirements for this course.
Aug 2022
Really good information about where biases come from, and how to interrupt faulty patterns.
Aug 2022
A good overview of the subject focused on the open source community in a short amount of time.
Jul 2022
Creating awareness about inclusion, bias, and sexism. Not only as an open source user/contributor, but every human being needs to learn and practice being neutral to the differences. This is a fantastic course, every professional should do it every 6 to 12 months, and should be part of every company's induction training list.
May 2022
I liked that the course included examples of Unconscious Bias in real-life, and many statistics.
Sep 2021
Good amount of content--succinct, but with enough memorable examples to drive the points home.