Artificial Intelligence

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.

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.

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. Leave with reusable prompts, ready-to-use templates, and lightweight automations for your real projects.

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.

Data and AI Literacy is a 9-hour live online course that gives working professionals a grounded understanding of data, machine learning, and generative AI. Across six instructor-led sessions, participants build fluency in the concepts, tools, and decisions shaping how organizations collect, process, and act on data. You leave with a systems-level view of AI, from raw data through agentic architectures, and the vocabulary to participate meaningfully in technical conversations.

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.

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.