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    • AI+ Military Practitioner™

    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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    AI+ Military Practitioner™
    Price: USD $195.00

    At a Glance: Course + Exam Overview

    Category AI Professional
    AI Specialization
    English
    Program Name AI+ Military Practitioner™
    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
    Exam Format 50 questions, 70% passing, 90 minutes

    What You'll Learn

    • 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.

    Certification Modules

    Module 1: Introduction to AI and Defense Strategy

    1. 1.1 Foundations of AI
    2. 1.2 Strategic Role of AI in Defense
    3. 1.3 AI in Cyber Warfare and USCYBERCOM Context

    Module 2: AI in Intelligence and Surveillance

    1. 2.1 AI in ISR (Intelligence, Surveillance, Reconnaissance)
    2. 2.2 Data Fusion and Decision Intelligence
    3. 2.3 AI for Cyber Intelligence

    Module 3: Autonomous Systems in Defense

    1. 3.1 Autonomous Aerial and Ground Systems
    2. 3.2 Naval and Space Autonomy

    Module 4: Cybersecurity and Cyber Operations

    1. 4.1 AI for Cyber Defense
    2. 4.2 Offensive Cyber and Adversarial AI
    3. 4.3 Adversarial AI and Cyber Defense Tactics

    Module 5: AI in Logistics and Supply Chain

    1. 5.1 Predictive Logistics
    2. 5.2 Autonomous Supply Chain Systems

    Module 6: Ethics, Law, and Responsible AI

    1. 6.1 Ethical and Moral Dimensions
    2. 6.2 Legal and Policy Frameworks
    3. 6.3 AI and Cyber Operations Ethics

    Module 7: AI in Training and Simulation

    1. 7.1 Virtual Training Environments
    2. 7.2 Performance Monitoring and Optimization
    3. 7.3 AI-Driven Cyber Range Simulations

    Module 8: Future Trends and Workforce Development

    1. 8.1 Emerging AI Technologies in Defense
    2. 8.2 Building an AI-Ready Defense Workforce

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • Military AI Practitioner
      Military AI Practitioner
      Applies AI solutions across intelligence, cybersecurity, autonomous systems, logistics, training, and defence operations.
    • Defence Operations Analyst
      Defence Operations Analyst
      Uses AI-driven insights and operational data to improve situational awareness, mission planning, and decision-making.
    • Intelligence and ISR Analyst
      Intelligence and ISR Analyst
      Applies AI for imagery analysis, reconnaissance, threat detection, data fusion, and intelligence processing.
    • Cyber defence Analyst
      Cyber defence Analyst
      Uses AI-powered tools for anomaly detection, malware analysis, threat intelligence, and automated cyber response.
    • Autonomous Systems Specialist
      Autonomous Systems Specialist
      Works with AI-enabled UAVs, robotics, navigation systems, swarming technologies, and human-machine teaming solutions.
    • Defence Data Analyst
      Defence Data Analyst
      Analyses sensor data, intelligence reports, operational data, and mission information to generate actionable insights.
    • AI Systems Integration Specialist
      AI Systems Integration Specialist
      Integrates AI solutions with defence platforms, command systems, communication networks, and operational technologies.
    • Defence Technology Consultant
      Defence Technology Consultant
      Advises organizations on AI adoption, military applications, implementation strategies, and responsible deployment.
    • Defence AI Transformation Lead
      Defence AI Transformation Lead
      Leads AI initiatives, evaluates operational impact, measures mission value, and supports AI-enabled modernization.

    Frequently Asked Questions

    You will learn AI fundamentals for defense, intelligence analysis, autonomous systems, cybersecurity, military data readiness, responsible AI, and AI implementation strategies.

    The exam includes 50 questions, lasts 90 minutes, and requires a 70% passing score.

    Yes. The course includes hands-on exercises, defense AI use cases, case studies, and practical activities focused on military applications.

    Tools include Project Maven, Maven Smart System, Gorgon Stare, TensorFlow, PyTorch, OpenCV, YOLO, NVIDIA AI Platform, AWS AI Services, Microsoft Azure AI, Palantir Gotham, Anduril Lattice, Digital Twin Technology, MITRE ATT&CK, Splunk, ROS, Esri ArcGIS, Kubernetes, and GitHub Copilot.

    It builds practical skills in military AI applications, intelligence and surveillance, autonomous systems, cyber defense, operational analytics, AI governance, and responsible AI adoption.

    Prerequisites

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    Exam Details

    Duration

    90 minutes

    Passing Score

    70%

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Introduction to AI and Defense Strategy 7%
    AI in Intelligence and Surveillance 15%
    Autonomous Systems in Defense 15%
    Cybersecurity and Cyber Operations 15%
    AI in Logistics and Supply Chain 12%
    Ethics, Law, and Responsible AI 12%
    AI in Training and Simulation 12%
    Future Trends and Workforce Development 12%
    Course Price: USD $195.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)