Algorithmic bias, or the notion that human biases can be magnified when consciously or subconsciously programmed into algorithms, has been a hot topic in machine learning. How do we create "fair" algorithms that behave in as unbiased a manner as possible? Google has released a free 60-minute online course on fairness as part of its popular Machine Learning Crash Course. This includes a short video lecture, materials on types of bias and how to identify and evaluate for bias, and a programming exercise to put your learning into action. Even if you are not a software engineer, you are a consumer of the fruits of their work and it behoves all of us to educate ourselves on how they function (and malfunction).