AI+ Military Practitioner™

Course code: NPAP590

Master AI-Driven Defense Innovation for Smarter Decisions, Stronger Readiness, and Responsible Military Operations

The AI+ Military Practitioner certification prepares you to understand and apply Artificial Intelligence across modern defence operations, including intelligence, surveillance, autonomous systems, cybersecurity, logistics, training, and strategic decision-making. You will learn how AI enhances situational awareness, improves operational efficiency, supports mission planning, and strengthens defence capabilities.

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date
Place
Type Course
duration
Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI Foundations and Opportunities

Understand AI fundamentals in defence, military applications, human-AI collaboration, operational value, key use cases, and real-world defence scenarios.

Core Military AI Applications

Explore AI applications in intelligence, surveillance and reconnaissance (ISR), cybersecurity, autonomous systems, logistics, decision intelligence, and operational planning.

Defence Data and Intelligence Readiness

Learn about defence data sources, intelligence processing, data quality requirements, readiness challenges, and using data insights for mission support.

AI Systems and defence Architecture

Understand AI system structures, deployment approaches, integration challenges, and defence AI architectures across operational environments.

AI Implementation and Operational Scaling

Identify valuable AI opportunities, evaluate mission requirements, design implementation plans, measure impact, and develop AI adoption strategies.

Responsible AI, Ethics, Safety, and Security

Apply AI governance, cybersecurity controls, human oversight models, ethical decision-making, risk assessment, and responsible deployment practices.

AI Performance and Operational Value

Examine AI success and failure factors, measure readiness improvements, evaluate mission impact, and assess the operational value of AI adoption.

Future defence AI Technologies

Explore autonomous systems, edge AI, AI-driven wargaming, quantum AI, bio-AI interfaces, emerging technologies, and future defence AI strategies.

End-to-End defence AI Project

Define a defence challenge, evaluate AI opportunities, select an AI use case, assess solutions, develop an implementation roadmap, and communicate operational value.

Course structure

Module 1: Introduction to AI and Defense Strategy

  • 1.1 Foundations of AI
  • 1.2 Strategic Role of AI in Defense
  • 1.3 AI in Cyber Warfare and USCYBERCOM Context

Module 2: AI in Intelligence and Surveillance

  • 2.1 AI in ISR (Intelligence, Surveillance, Reconnaissance)
  • 2.2 Data Fusion and Decision Intelligence
  • 2.3 AI for Cyber Intelligence

Module 3: Autonomous Systems in Defense

  • 3.1 Autonomous Aerial and Ground Systems
  • 3.2 Naval and Space Autonomy

Module 4: Cybersecurity and Cyber Operations

  • 4.1 AI for Cyber Defense
  • 4.2 Offensive Cyber and Adversarial AI
  • 4.3 Adversarial AI and Cyber Defense Tactics

Module 5: AI in Logistics and Supply Chain

  • 5.1 Predictive Logistics
  • 5.2 Autonomous Supply Chain Systems

Module 6: Ethics, Law, and Responsible AI

  • 6.1 Ethical and Moral Dimensions
  • 6.2 Legal and Policy Frameworks
  • 6.3 AI and Cyber Operations Ethics

Module 7: AI in Training and Simulation

  • 7.1 Virtual Training Environments
  • 7.2 Performance Monitoring and Optimization
  • 7.3 AI-Driven Cyber Range Simulations

Module 8: Future Trends and Workforce Development

  • 8.1 Emerging AI Technologies in Defense
  • 8.2 Building an AI-Ready Defense Workforce

Prerequisites

  • Understanding of military operations and defence environments
  • Familiarity with AI, machine learning, and autonomous technologies
  • Ability to interpret operational data, intelligence reports, dashboards, metrics, and mission trends
  • Awareness of defence technologies such as sensors, command and control systems, cyber platforms, and simulation environments
  • Basic analytical skills to evaluate AI use cases, mission requirements, risks, and operational outcomes

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