To begin developing AI agents with Python, you'll need to get familiar with some fundamental libraries and tools. First, install Python (version 3.6 or later) and explore essential libraries like TensorFlow, Keras, or PyTorch for machine learning, and OpenAI Gym for reinforcement learning. Start by building simple models using pre-built datasets. You can also check out resources like Coursera, Udemy, and documentation from AI frameworks to get a better understanding of training AI agents. Make sure to build foundational knowledge in linear algebra, probability, and algorithms, as they are critical for AI development. Once comfortable, progress to more advanced topics like multi-agent systems or natural language processing (NLP).