Module #2 shifts attention to workplace-specific applications. Participants explore how AI can automate repetitive processes, optimize tasks, improve decision-making, and augment day-to-day workflows. They identify areas within their own organizations where AI could meaningfully support efficiency or quality improvements.

A session on data fundamentals helps participants understand the role of data in powering AI systems, including considerations related to privacy, quality, ethics, and security.

In the afternoon, participants experiment with beginner-friendly, no-code AI tools—such as automation platforms, chatbot builders, or simple analysis tools. Small-group collaboration allows learners to choose a real workplace challenge and begin outlining an AI-supported solution.