Artificial intelligence. Introduction ; Intelligent agents

Problem-solving. Solving problems by searching ; Search in complex environments ; Constraint satisfaction problems ; Adversarial search and games

Knowledge, reasoning, and planning. Logical agents ; First-order logic ; Inference in first-order logic ; Knowledge representation ; Automated planning

Uncertain knowledge and reasoning. Quantifying uncertainty ; Probabilistic reasoning ; Probabilistic reasoning over time ; Making simple decisions ; Making complex decisions ; Multiagent decision making ; Probabilistic programming

Machine learning. Learning from examples ; Knowledge in learning ; Learning probabilistic models ; Deep learning ; Reinforcement learning

Communicating, perceiving, and acting. Natural language processing ; Deep learning for natural language processing ; Robotics ; Computer vision

Conclusion. Philosophy, ethics, and safety of AI ; The future of AI

Appendix A. Mathematical background

Appendix B. Notes on languages and algorithms.