What Is AI Cybersecurity & Trust and Why Are They Important? AI cybersecurity and trust refers to the practices, technologies, and principles used to protect artificial intelligence systems from threats while ensuring they behave safely, reliably, and ethically. As AI becomes more embedded in daily life—powering everything from search engines and cars to medical tools […]

Overview AIMAI is an executive-level program designed to equip leaders with practical mastery of agentic artificial intelligence systems. The curriculum focuses on strategic implementation, governance, risk, and organizational value creation through autonomous and semi-autonomous AI agents. The program combines conceptual foundations, applied frameworks, and hands-on exercises tailored for senior decision-makers. Purpose Enable executives to understand […]

EstablishmentFounded in 1982. The first meeting was held in Toulouse, France; CCSDS (Consultative Committee for Space Data Systems) was formed from an earlier International Workshop on Space Data Systems. Purpose / MissionCCSDS provides an international forum for the development of standards for data, communications, and information systems used in spaceflight — including spacecraft, satellites, ground […]

What Is Agentic Intelligence and Why Is It Important? Agentic intelligence refers to an AI system’s ability to take initiative, make decisions, and carry out multi-step actions in pursuit of a goal rather than simply responding to individual prompts. It combines reasoning, planning, memory, tool use, and the capacity to act autonomously within boundaries the […]

Title: TEMPEST (Transient Electromagnetic Pulse Emanation Standard) Training Purpose: To prepare personnel to identify, mitigate, and manage unintentional electromagnetic emissions that could compromise classified or sensitive information. OverviewTEMPEST training focuses on understanding how electronic devices emit electromagnetic signals and how those signals can be intercepted and exploited. Training covers the technical, procedural, and policy aspects […]

Certified Agentic AI Developer (CAAD) Fact Sheet Role overview A Certified Agentic AI Developer (CAAD) specializes in designing, building, and maintaining AI systems capable of autonomous decision-making, multi-step reasoning, and tool-based task execution. This role combines elements of machine learning engineering, software development, AI safety practices, and workflow automation. Primary responsibilities • Architect agentic AI […]

Module 1: Foundations of Agentic AI Description: Introduces the concept of agentic AI systems, their architectural principles, and the shift from traditional ML systems to autonomous, goal-directed agents. Topics: • Autonomous vs. assistive AI • Agent loops: observe, reason, act • Types of agency: tool-use agents, multi-step reasoning agents, multi-agent systems • High-level system design […]

Overview The Master of Agentic Intelligence Strategy (MAAIS) Certification is a professional credential designed for leaders, strategists, and technologists who work with advanced autonomous systems and agent-based artificial intelligence. It emphasizes strategic design, governance, deployment, and risk management of AI agents in organizational and operational contexts. Purpose • Equip professionals with the ability to evaluate, […]

Program Overview The Master of Agentic Intelligence Strategy (MAAIS) is an interdisciplinary learning program designed to teach strategic thinking, systems design, and operational deployment of agentic AI systems. The curriculum emphasizes real-world application through scenario modeling, organizational integration, governance, and advanced agent design. It is suitable for professionals, technologists, and leaders seeking to build or […]

Position SummaryA Certified Agentic AI Developer (CAAD) is responsible for designing, building, and maintaining agentic artificial intelligence systems that can autonomously plan, reason, and execute tasks. The role focuses on safe, reliable, and efficient agent behavior within real-world software environments, including enterprise tools, APIs, and cloud platforms. Key Responsibilities• Develop AI agents capable of autonomous […]