Stanford University’s CS372, Artificial General Intelligence for Reasoning is an advanced online course exploring AGI with focus on reasoning, planning, and decision making beyond pattern recognition. It examines how large language models evolve into structured System 2 reasoning. Learners build systems enabling robust planning, verifiable logic, and complex real-world decisions.
The course offers the:
Understand the limitations of current Large Language Models and pathways toward AGI
Design AI systems that move from pattern matching to conscious deliberation
Implement reasoning frameworks for reliable and explainable decision-making
Explore planning, temporal awareness, and goal-driven AI architectures
Apply AGI principles to real-world use cases, including healthcare and enterprise systems
This 10-week online course is delivered fully online with on-demand and live components, making it ideal for working professionals and graduate-level learners. Students commit approximately 9 - 15 hours per week and earn 3 academic units with an official Stanford University transcript, adding strong academic and professional credibility.
Foundations of Artificial General Intelligence: Consciousness in AI, System 1 vs System 2 reasoning
Reasoning and Decision Frameworks: Verifiable decisions, logical inference, and structured deliberation
Multi-LLM Agent Systems: Collaborative intelligence and Multi-Agent Collaborative Intelligence (MACI)
Planning and Temporal Reasoning: Long-horizon planning, time-aware AI architectures
Entropy-Guided Information Exchange: Optimizing reasoning through uncertainty and information flow
Constitutional AI Principles: Alignment, safety, and governance for advanced AI systems
Applied AGI Projects: Hands-on implementations across healthcare and complex decision environments
Bachelor’s degree with a minimum undergraduate GPA of 3.0
Prior completion of Machine Learning (CS229) and Deep Learning (CS230) or equivalent experience
Completion of Stanford’s online graduate application process
Stanford's AGI course maintains its unique identity through research-based instruction which teaches students to think and organize their thoughts while studying current advanced AGI technologies. Students receive knowledge through direct interaction with Stanford instructors while they develop practical projects which demonstrate upcoming trends in artificial intelligence research and business innovation.
Artificial General Intelligence for Reasoning, Planning, and Decision Making program from Stanford University serves as the perfect educational path for AI professionals researchers and senior engineers who wish to advance their careers in AGI technology. The program provides students with essential knowledge and skills required to develop future intelligent systems through its teaching of reasoning and multi-agent systems and conscious AI architectural design.