To engage in deep learning, start by understanding the fundamentals of neural networks and their architectures. Utilize frameworks like TensorFlow or PyTorch for model development. Gather and preprocess large datasets, train models, and evaluate their performance. Continuously refine your approach through experimentation and stay updated with the latest research.