Probabilistic Machine Learning in Practice: Construct Robust AI Agents with Deterministic Guardrails for Real World Deployment

Deep Reinforcement Learning in Practice: Build Real-World AI Agents with PyTorch, PPO, and RLHF

Securing AI Agents: Foundations, Frameworks, and Real World Deployment

AI Agents in Practice: Concepts, Code, and Deployment

Graph Powered AI in Practice: Building Scalable Machine Learning Systems from Real World Relationships