What you’ll learn

• Understand core AI concepts including machine learning, deep learning, neural networks, and the philosophical foundations of AGI.
• Build and train AI and machine learning models with industry-relevant tools and apply them to real-world prediction and decision-making tasks.
• Apply RLHF (Reinforcement Learning from Human Feedback) and constitutional alignment methods in practical scenarios.
• Design and implement cognitive architectures with memory, reasoning, and planning modules.
• Evaluate alignment risks, interpretability trade-offs, and control strategies for powerful AI systems.
• Build AGI-inspired prototypes using modern AI frameworks such as LangChain, AutoGen, and Hugging Face.
• Analyze AGI ethics, governance models, and the long-term societal impact of advanced AI systems.
• Deploy AI systems into real applications, integrating models into web apps, APIs, and interactive workflows to create end-to-end solutions.

Requirements

• No technical background required.
• Basic computer and internet usage skills.

Mindset requirements

• Curiosity about artificial intelligence and its impact on society.
• Willingness to think critically about safety, ethics, and governance.
• Openness to both technical and non-technical perspectives on AGI.

Course overview

Step into the future of AI with Designing Aligned & Safe AGI Systems, a comprehensive program that gives you the technical, ethical, and strategic foundations needed to build safe, aligned, and governable AGI-inspired systems.

As AI rapidly advances, the world needs professionals who understand not only how to build intelligent systems, but also how to ensure they remain controllable, transparent, and beneficial to humanity. In this course, you’ll learn to design multi-layer AGI architectures, integrate alignment mechanisms, establish robust safety protocols, and create governance frameworks for long-term oversight.

You’ll work with key concepts such as intent alignment, behavioral constraints, value alignment, oversight pathways, risk mitigation, and fail-safe engineering. Each module balances technical depth with ethical and societal considerations.

Through real-world examples, visual frameworks, and a capstone project, you’ll develop the ability to architect AGI systems that prioritize human agency, ethical reasoning, and societal well-being. By the end of the course, you’ll be ready to contribute meaningfully to the future of aligned, beneficial intelligence—whether as an AI engineer, researcher, policymaker, or technology leader.