Assurance of AI Enabled Systems
This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.
This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.
The Johns Hopkins Healthcare Systems Engineering and Thinking course provides participants with a deep understanding of today's ongoing healthcare challenges and the tools and strategies they need to develop high-impact, long-lasting systems-based solutions.
This course covers foundations and applications of data science approaches to predictive modeling in medicine.
An overview course oriented on enhancing effective decision making across the span of national security stakeholders in the context of cyber operations and cybersecurity.
This course will provide a high-level overview of quantum systems and their potential applications, including computing, sensing, and communications.
This course presents a broad overview of Additive Manufacturing (AM) technologies but also focuses on the practical considerations that decision makers need to make the best choices for their organizations.
This course provides executive government leaders with the tools to harness artificial intelligence (AI) for the benefit of their organizations using a holistic perspective on AI technology integration.
This course aims to provide senior government leaders with a comprehensive approach to adopting AI technology. It will allow leaders with a framework to unpack the question, "How do we turn our organization's AI strategy into action?" While not a prerequisite, it is beneficial if the organization's executive leader has established an AI strategy having completed the workshop Leading Data and AI-Enabled Organizations: For Executive Leaders (US Government).
Participants in this program will engage in a variety of interactive exercises to get hands-on experience in the process of transforming graph-based data into insight for making better decisions.
This course aims to provide industry leaders with an over-arching introduction to AI and introduces key technical concepts, AI safety and ethics, and best business and management practices for AI specific projects.
