To build an autoencoder from scratch, you first need to import the required libraries, including TensorFlow. Then, define the architecture of the autoencoder, including the input layer, encoder layer, and decoder layer. Combine the encoder and decoder into an autoencoder model and compile the model with an optimizer and loss function. Train the autoencoder using a dataset, such as the MNIST dataset, and evaluate its performance by reconstructing test images.