Gene expression is inherently dynamic, due to complex regulation and stochastic biochemical events. Here the authors train a deep neural network to predict and dynamically control gene expression in thousands of individual bacteria in real-time which they then apply to control antibiotic resistance and study single-cell survival dynamics.