Artificial Intelligence

Artificial intelligence is becoming an essential tool in everyday work, research, and creative projects. This online, self-paced, hands-on lab provides a structured, guided introduction to AI tools that are accessible to everyone—whether you're just starting out or looking for ways to integrate AI into your workflow. With practical use cases this interactive course guides you through real-world applications rather than abstract theory, making AI easier to understand and use.

Artificial intelligence is becoming an essential tool in everyday work, research, and creative projects. This live-online, four-week hands-on lab provides a structured, guided introduction to a variety of AI tools that are accessible to everyone—whether you're just starting out or looking for ways to integrate AI into your workflow. With practical use cases in short evening sessions, you will focuse on real-world applications rather than abstract theory, making AI easier to understand and use.

This six-session executive course is designed for senior leaders who want to make meaningful progress on AI without lengthy planning cycles or heavy consulting engagements. You will apply practical, executive-friendly frameworks to assess readiness, identify priority use cases, establish pragmatic governance, and assemble a lean AI Strategy Blueprint. The emphasis is on clear, action-ready decisions—enabling organizations to move forward with confidence and minimal friction.

AI for Project Management is here: in this two-day, hands-on workshop, project managers learn to apply generative AI and AI assistants to planning, scheduling, risk, cost, and communications—safely and without coding. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.

The AI-Assisted Model-Based Systems Engineering (AIM) Workshop is a compelling enterprise training program at the intersection of AI and digital transformation. Designed for engineering organizations, this 24-hour course equips teams to apply generative AI tools within MBSE workflows, accelerating model creation, improving analysis, and preparing systems engineers for the next generation of intelligent design.