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AI+ Military Practitioner™
USD$195.00 (GST excl.)
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.
Duration
Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content
Self-Paced: 8 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam
Overview
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.
Prerequisites
Basic understanding of military operations, defense environments, intelligence, cybersecurity, logistics, or related operational domains. Learners should also be familiar with core AI, machine learning, data analysis, and automation concepts, along with the ability to interpret operational data, intelligence reports, dashboards, metrics, and trends. Awareness of defense technologies such as sensors, autonomous systems, command and control platforms, cyber systems, and simulation environments is recommended, along with basic analytical skills to evaluate AI use cases, mission requirements, risks, operational impact, and implementation considerations.
What you’ll learn
- Defence and Military Professionals: Those who want to enhance their understanding of AI applications in intelligence, operations, cybersecurity, logistics, training, and modern defence environments.
- Military Leaders and Commanders: Those who want to use AI-driven insights to improve decision-making, mission planning, operational readiness, and strategic outcomes.
- Intelligence and ISR Professionals: Those who want to apply AI techniques for imagery analysis, threat detection, data fusion, reconnaissance, and faster intelligence processing.
- Cybersecurity and Cyber Operations Professionals: Those who want to understand AI-powered threat detection, cyber defence, adversarial AI, automated response, and information warfare challenges.
- Autonomous Systems and Robotics Professionals: Those who want to explore AI applications in UAVs, autonomous vehicles, navigation, perception, swarming, and human-machine teaming.
- Logistics and Sustainment Professionals: Those who want to use AI for predictive maintenance, fleet optimization, inventory forecasting, supply chain visibility, and readiness improvement.
Why this certification matters
- Builds job-relevant AI skills: Learn how AI supports intelligence, cybersecurity, autonomous systems, logistics, training, and strategic defence operations.
- Improves operational decision-making: Apply AI-driven analytics, data fusion, and decision intelligence to enhance situational awareness and mission outcomes.
- Strengthens defence capabilities: Understand how AI enables autonomous platforms, predictive maintenance, cyber defence, and efficient resource management.
- Turns military data into actionable insights: Convert sensor data, intelligence reports, operational information, and system data into meaningful decisions.
- Supports successful AI adoption: Evaluate defence AI use cases, plan implementation strategies, and apply responsible deployment practices.
- Demonstrates operational value: Measure AI impact through readiness improvements, faster decision cycles, improved efficiency, and mission effectiveness.
- Strengthens safety and accountability: Apply responsible AI principles, human oversight, cybersecurity controls, and ethical frameworks in defence environments.
- Prepares you for future defence operations: Develop the skills needed to support AI-enabled warfare, human-AI teaming, and next-generation military capabilities.
Tools you’ll use
Project Maven
Maven Smart System
Gorgon Stare
TensorFlow
PyTorch
OpenCV
YOLO
NVIDIA AI Platform
AWS AI Services
Microsoft Azure AI
IBM Watson AI
Hugging Face Hub
Unity Simulation
Unreal Engine
Anduril Lattice
Palantir Gotham
Digital Twin Technology
MITRE ATT&CK
Splunk
ROS (Robot Operating System)
DARPA Robotics Programs
Esri ArcGIS
Kubernetes
GitHub Copilot
Learning Modules
8 modules
1Module 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
1.2 Strategic Role of AI in Defense
1.3 AI in Cyber Warfare and USCYBERCOM Context
2Module 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
2.2 Data Fusion and Decision Intelligence
2.3 AI for Cyber Intelligence
3Module 3: Autonomous Systems in Defense
3.1 Autonomous Aerial and Ground Systems
3.2 Naval and Space Autonomy
3.2 Naval and Space Autonomy
4Module 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
4.2 Offensive Cyber and Adversarial AI
4.3 Adversarial AI and Cyber Defense Tactics
5Module 5: AI in Logistics and Supply Chain
5.1 Predictive Logistics
5.2 Autonomous Supply Chain Systems
5.2 Autonomous Supply Chain Systems
6Module 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
6.2 Legal and Policy Frameworks
6.3 AI and Cyber Operations Ethics
7Module 7: AI in Training and Simulation
7.1 Virtual Training Environments
7.2 Performance Monitoring and Optimization
7.3 AI-Driven Cyber Range Simulations
7.2 Performance Monitoring and Optimization
7.3 AI-Driven Cyber Range Simulations
8Module 8: Future Trends and Workforce Development
8.1 Emerging AI Technologies in Defense
8.2 Building an AI-Ready Defense Workforce
8.2 Building an AI-Ready Defense Workforce
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 1 day (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Instructor-led OR Self-paced course + Official exam + Digital badge |
| Prerequisites | Basic understanding of military operations, defense environments, intelligence, cybersecurity, logistics, or related operational domains. Learners should also be familiar with core AI, machine learning, data analysis, and automation concepts, along with the ability to interpret operational data, intelligence reports, dashboards, metrics, and trends. Awareness of defense technologies such as sensors, autonomous systems, command and control platforms, cyber systems, and simulation environments is recommended, along with basic analytical skills to evaluate AI use cases, mission requirements, risks, operational impact, and implementation considerations. |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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