What You'll Learn
- Understand the foundations of human and artificial intelligence, including cognition, learning, perception, and computational principles.
- Analyze and compare major AI architectures, from classical symbolic systems to modern deep learning and multimodal models.
- Apply reinforcement learning, probabilistic reasoning, and world modeling techniques to build adaptable, intelligent agents.
- Evaluate AGI-inspired systems using alignment frameworks, safety principles, interpretability tools, and governance models.
- Integrate perception, memory, reasoning, and decision-making into conceptual AGI system blueprints or prototype simulations.
- Assess the societal, ethical, and economic implications of AGI, including personhood, coexistence, and global governance strategies.
Requirements
- No formal prerequisites — open to all motivated learners
- Basic computer literacy and comfort with digital tools
- Curiosity about how intelligence works in humans and machines
- Willingness to learn interdisciplinary concepts across AI and cognition
- An analytical, open-minded approach to complex ideas
Who This Course is For
- Learners who want a complete, end-to-end understanding of Artificial General Intelligence
- AI enthusiasts seeking to go beyond coding and understand the theory, science, and philosophy of intelligence
- Professionals in tech, research, or product roles who want to future-proof their careers in the era of AGI
- Students exploring cognitive science, neuroscience, psychology, or computer science
- Engineers and practitioners who want a deep conceptual foundation behind modern AI architectures
- Leaders, policymakers, and strategists interested in AI safety, ethics, governance, and long-term societal impact
- Anyone curious about consciousness, alignment, human-AI coexistence, and the future of intelligent systems
- Beginners with strong curiosity who want a structured path into one of the world’s most transformative fields
Your Instructor
School of AI
AI Academy
4.4 Instructor Rating
11,648 Reviews
377,640 Students
111 Courses
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