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.
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 delves into the advanced aspects of project execution and control, focusing on effective risk management, conflict resolution, design reviews, configuration management, and communication strategies.
This course delves into advanced project management methodologies and tools, focusing on leadership, innovation, and effective project closeout strategies.
Gain a solid foundation in project management by exploring core principles, methodologies, and tools used to plan, execute, and oversee successful projects.
This course offers essential cybersecurity skills across three in-depth courses. Starting with Cybersecurity Fundamentals, students explore critical concepts like motives, penetration testing, cryptography, and techniques in information gathering and social engineering.
This course is an in-depth exploration of sophisticated cybersecurity threats and techniques.
Learn to identify and respond to potential threats in digital environments with this focused course on intrusion detection.
In this comprehensive course, participants will gain a deep understanding of neural network architectures and essential model regularization techniques.