Master AI in Warfare & International Humanitarian Law in 4 weeks through hands-on, project-based online training with DSTC.
Designed to explore how AI technologies—such as autonomous drones, predictive targeting, surveillance systems, and decision-making algorithms—are transforming modern warfare. Across 4 Weeks, you will go deep on autonomous drones, predictive targeting, and surveillance systems, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
AI in Warfare & International Humanitarian Law is a high-impact international course designed to explore how AI technologies—such as autonomous drones, predictive targeting, surveillance systems, and decision-making algorithms—are transforming modern warfare.
1. Gain working command of autonomous drones.
2. Develop hands-on skill in predictive targeting.
3. Master the fundamentals of surveillance systems.
4. Put AI Enablement techniques to work on real datasets and case studies.
5. Build a defensible project you can showcase to supervisors, reviewers, or employers.
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
• Data and computational scientists moving into autonomous drones
• Confidence to implement autonomous drones in real projects.
• Confidence to reason about predictive targeting in real projects.
• Confidence to apply surveillance systems in real projects.
• A portfolio-grade AI Enablement deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
• Distinction, proportionality and precaution as binding legal rules
• Sources of IHL: Geneva Conventions, Additional Protocols and customary law
• The Martens Clause and its invocation in emerging-technology debate
• Article 36 weapons review obligations and how states implement them
• Reviewing systems whose behaviour is learned rather than specified
• Testing, predictability and reliability as legal, not merely technical, questions
• Meaningful human control: competing definitions and state positions
• Command responsibility and the accountability gap argument
• Automation bias in targeting decision support and its legal significance
• The CCW Group of Governmental Experts and the state of negotiations
• Positions of major state blocs and civil society campaigns
• Export controls, dual-use regulation and industry self-governance
• Structured legal analysis of documented incidents in the public record
• Evidence, investigation and attribution challenges after the fact
• Drafting a reasoned legal opinion on a contested system
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Westlaw |
| Covered Tool / Platform | LexisNexis |
| Covered Tool / Platform | Microsoft Office |
| Covered Tool / Platform | AI Legal Tools |
| Covered Tool / Platform | Contract Analysis Software |
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