Artificial Intelligence in National Security: Public Sector Strategy

Modern national security and public sector missions increasingly rely on artificial intelligence to process vast amounts of information and make critical decisions. Understanding how to navigate this rapid technological shift is essential for policy makers, intelligence analysts, and defense professionals. This course prepares you to confidently evaluate, plan, and integrate AI technologies within public sector frameworks. You will transition from a basic understanding of AI concepts to strategically applying these tools to enhance mission outcomes while maintaining strict ethical and security standards. What you'll learn: - Understand the foundational concepts of artificial intelligence, machine learning, and deep learning in a public sector context. - Evaluate modern AI technologies, including large language models, prompt engineering basics, and retrieval-augmented generation (RAG) for intelligence analysis. - Analyze unique security risks associated with public sector AI, including data privacy concerns, adversarial attacks, and system vulnerabilities. - Formulate strategic frameworks for ethical AI deployment, governance, and regulatory compliance in national defense. - Identify opportunities to streamline public sector workflows and decision-making processes using automated data analysis. The curriculum begins with essential terminology and the historical context of AI in defense, gradually advancing to modern strategic planning, risk assessment, and real-world public sector use cases through clear, written explanations. This course is designed for public sector employees, defense analysts, policy makers, and beginners who want to understand the strategic intersection of technology and national security without needing a background in programming or computer science. Start reading today to build a strong foundation in modern public sector AI strategy.