In the video, viewers are introduced to Unsupervised Machine Learning. The key points covered include understanding what unsupervised learning is, clustering techniques such as K-Means, outlier detection methods, and latent variable modeling. Additionally, Principal Component Analysis (PCA) and Autoencoder concepts are discussed.