Course Overview
Build expertise in ethical and safe AI for technical projects. Structured for engineers. 100% free.
Get Immediate Access
Build expertise in ethical and safe AI for technical projects. Structured for engineers. 100% free.
Get Immediate Access
Designing, developing, or maintaining AI-powered systems.
Looking to understand the intersection of technology, society, and ethics.
Ensuring project teams follow ethical and safety best practices.
Foundational knowledge for ethical technology decision-making.
Self-paced, modular learning. Estimated total time: 4 hours 30 minutes.
Core concepts of AI ethics, major frameworks (e.g. IEEE, EU, ACM), and why engineers must care.
Identifying common risk areas: bias, transparency, accountability, safety failures, and more.
Practical tools and process for embedding ethics and safety into engineering workflows.
Detailed engineering examples: what worked, what failed, and the real-world lessons learned.
By completing the EthiCode course, you’ll be ready to:
Spot risk areas before they cause harm in AI-driven systems.
Move from theory to practical steps using frameworks and checklists.
Lead your team or organization toward safe, trustworthy engineering practices.
EthiCode is crafted by an interdisciplinary team bridging technology and ethics.
Seasoned professionals with hands-on experience delivering AI projects and mentoring teams.
Researchers devoted to applied ethics and safe technological advancement.
Working AI architects with firsthand knowledge of integrating ethics in development processes.
Sign up for free and get full access to all course materials instantly.
You’ll also get templates, checklists, and frameworks to use in your own projects.
Quickly ensure best practices and principles are covered throughout your workflow.
A step-by-step guide for integrating ethical checks into the development lifecycle.
Real situations showing where AI projects succeeded—and failed—ethically.
Identify relevant risks and document your mitigation plans effectively.