Artificial General Intelligence

Course Syllabus

Module 1 — Foundations of Artificial General Intelligence

• Introduction to AGI and the evolution of intelligent systems
• Narrow AI vs Artificial General Intelligence
• History, milestones, and future directions of AGI research
• Intelligence theories and human cognition fundamentals
• Computational models of reasoning and decision-making
• Ethical, societal, and economic implications of AGI

Module 2 — Cognitive Architectures & Human-Like Reasoning

• Classical cognitive architectures: ACT-R, Soar, and CLARION
• Memory systems, symbolic reasoning, and knowledge representation
• Problem solving, planning, and adaptive behaviour
• Attention, perception, and cognitive control mechanisms
• Hybrid cognitive systems and agent-based intelligence
• Case studies in human-inspired AI systems

Module 3 — Neural-Symbolic AI & Knowledge Integration

• Symbolic AI, logic systems, and semantic reasoning
• Neural networks and deep learning foundations for AGI
• Neural-symbolic integration techniques
• Knowledge graphs and ontological reasoning
• Commonsense reasoning and contextual understanding
• Explainable AI (XAI) and interpretable intelligent systems

Module 4 — Meta-Learning & Autonomous Adaptation

• Meta-learning and learning-to-learn concepts
• Reinforcement learning and adaptive optimisation
• Transfer learning and continual learning systems
• Self-supervised and unsupervised learning methods
• Autonomous agents and multi-agent collaboration
• Generalisation across diverse environments and tasks

Module 5 — Reward Modelling, Alignment & AGI Safety

• Reward modelling and preference learning
• Human feedback systems and reinforcement learning from human feedback (RLHF)
• Value alignment and controllable AI systems
• AGI risk assessment and mitigation strategies
• AI governance, transparency, and regulatory considerations
• Safety engineering for advanced autonomous systems

Module 6 — Future AGI Systems & Applied Research

• Large-scale foundation models and emerging AGI trends
• Multimodal intelligence and embodied AI
• Human-AI collaboration and augmentation systems
• AGI applications across finance, healthcare, robotics, and cybersecurity
• Quantum computing and next-generation intelligent systems
• Final AGI research project and presentation

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Starting Date: 11th July 2026

Course Fee: £2990.00

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