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AI-Assisted MBSE
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.
Sep19 -
Prototype to Product: Shipping AI That Works
Most AI prototypes never become products. This 12-hour live course is an AI course for product managers, engineering leaders, and technologists responsible for closing that gap. Across eight 90-minute sessions, participants architect and diagnose real AI products, evaluate the failure modes of probabilistic systems, and develop the field research methodology required to ship AI that delivers genuine value. Participants leave with a diagnostic toolkit they can apply to any AI initiative inside their organization — and a pitch refined against that toolkit in a structured capstone with peer and instructor critique.
Sep28 -
AI for Executives: Rapid Blueprinting for Organizational Adoption
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.
Oct13 -
Claude Code Agent Lab
Most developers use AI as enhanced autocomplete. This lab is about something more durable: designing and implementing an agentic workflow that can reason, plan, and act within a structured code environment.
In this half-day, live, instructor-led lab, you will build a functioning AI workflow agent using Claude Code. Working in a small group, with expert coaching and real-time feedback, you will move from configuration to architecture to integration—using realistic repositories and applied use cases rather than isolated demos.
Oct17 -
AI for Project Management: A Hands-On Learning Lab
AI for Project Management is here: in this 16-hour, hands-on workshop, project managers learn to apply generative AI and AI assistants to planning, scheduling, risk, cost, and communications—safely and without coding. This course goes beyond prompting: you will learn where today's models fail and how to catch it, build reusable AI workspaces with projects and skills, run AI deep research, and apply the latest findings on working productively, and growing, alongside AI. Participants can work in Claude, ChatGPT, or Microsoft Copilot; live demonstrations use Claude. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.
Oct24