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Home › Courses › AI+ Military Practitioner™

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™
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Level
beginner

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Duration
8 Hours | 1 Day

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Format
Self-Paced Online

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Certification
AI CERTs®

Self-Paced Online

USD $ N/A

Instructor-Led Online

At a Glance: Course + Exam Overview

Our training approach is human‑centred and outcomes‑driven. We focus on what learners can apply confidently.

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

Industry Opportunities

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Military AI Practitioner

Applies AI solutions across intelligence, cybersecurity, autonomous systems, logistics, training, and defence operations.

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Defence Operations Analyst

Uses AI-driven insights and operational data to improve situational awareness, mission planning, and decision-making.

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Intelligence and ISR Analyst

Applies AI for imagery analysis, reconnaissance, threat detection, data fusion, and intelligence processing.

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Cyber defence Analyst

Uses AI-powered tools for anomaly detection, malware analysis, threat intelligence, and automated cyber response.

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Autonomous Systems Specialist

Works with AI-enabled UAVs, robotics, navigation systems, swarming technologies, and human-machine teaming solutions.

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Defence Data Analyst

Analyses sensor data, intelligence reports, operational data, and mission information to generate actionable insights.

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AI Systems Integration Specialist

Integrates AI solutions with defence platforms, command systems, communication networks, and operational technologies.

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Defence Technology Consultant

Advises organizations on AI adoption, military applications, implementation strategies, and responsible deployment.

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Defence AI Transformation Lead

Leads AI initiatives, evaluates operational impact, measures mission value, and supports AI-enabled modernization.

Frequently Asked Questions

What skills will I gain?
You will learn AI fundamentals for defense, intelligence analysis, autonomous systems, cybersecurity, military data readiness, responsible AI, and AI implementation strategies.
What is the exam format?
The exam includes 50 questions, lasts 90 minutes, and requires a 70% passing score.
Does the course include practical learning?
Yes. The course includes hands-on exercises, defense AI use cases, case studies, and practical activities focused on military applications.
Which tools are covered?
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.
How does this certification support defense careers?
It builds practical skills in military AI applications, intelligence and surveillance, autonomous systems, cyber defense, operational analytics, AI governance, and responsible AI adoption.

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 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%
Self-Paced Online
USD $ N/A
Purchase Self-Paced Course

Core AI Tools Covered

Project Maven

Project Maven

Maven Smart System

Maven Smart System

Gorgon Stare

Gorgon Stare

TensorFlow

TensorFlow

PyTorch

PyTorch

OpenCV

OpenCV

YOLO

YOLO

NVIDIA AI Platform

NVIDIA AI Platform

AWS AI Services

AWS AI Services

Microsoft Azure AI

Microsoft Azure AI

IBM Watson AI

IBM Watson AI

Hugging Face Hub

Hugging Face Hub

Unity Simulation

Unity Simulation

Unreal Engine

Unreal Engine

Anduril Lattice

Anduril Lattice

Palantir Gotham

Palantir Gotham

Digital Twin Technology

Digital Twin Technology

MITRE ATT&CK

MITRE ATT&CK

Splunk

Splunk

ROS (Robot Operating System)

ROS (Robot Operating System)

DARPA Robotics Programs

DARPA Robotics Programs

Esri ArcGIS

Esri ArcGIS

Kubernetes

Kubernetes

GitHub Copilot

GitHub Copilot