How can I turn project information into an interactive Claude Artifact that helps stakeholders understand options and make decisions? In this module, you will learn the theory of Artifact scoping and then design, test, and present a project decision aid. The theory explains user questions, data fields, interaction flows, visual hierarchy, assumptions, acceptance criteria, accessibility, and the boundary between an interactive view and a formal source-of-truth record. You will create an Artifact concept for a risk register view, prioritization matrix, milestone dashboard, decision tree, or stakeholder briefing tool. You will practice giving precise feedback, checking calculations and labels, testing edge cases, and documenting what the Artifact can and cannot support. These lessons are new recording opportunities for project managers and cross-functional leads who want to communicate complex work more clearly; no programming experience is required, and a small sample dataset is sufficient. You will leave with an Artifact concept, test script, stakeholder-use guide, and evaluation rubric. The final activity verifies that you can assess an Artifact for usefulness, accuracy, transparency, and decision relevance. The intended result is a reviewable decision aid that supports project conversations while preserving governance, ownership, and traceability.

How can Claude Skills make recurring project work more consistent, faster, and easier to review? In this module, you will learn the theory of reusable Skills and then apply it across setup, document production, communication, reporting, contract review, and proposal work. The theory explains the anatomy of a Skill: purpose, trigger, inputs, instructions, output format, examples, boundaries, quality checks, and approval points. The practice videos show how to enable Skills, use built-in Word, Excel, PowerPoint, and PDF capabilities, automate project email, generate monthly business reports, review contracts for risks and red flags, and build a proposal or RFP response workflow. You will treat every demonstration as a practice case rather than as a complete theory lesson. This module is designed for project managers, PMO analysts, procurement-facing delivery leads, and business analysts; no coding is required, but you should understand at least one recurring project workflow. You will compare the examples, identify transferable design patterns, and create a test matrix for one Skill that you could reuse. You will leave with a Skills inventory, workflow specification, and review checklist. The final assessment verifies that you can select, adapt, and control Skills for project operations without confusing automation with approval.

How can Claude Cowork reduce manual coordination across project documents, exported data, recurring reports, and stakeholder communication? In this module, you will learn the theory of controlled Cowork workflows and then practice setup, document cross-referencing, repetitive administration, sprint reporting, and smart email drafting. The theory explains source boundaries, permissions, evidence labels, traceability, exception handling, and review-before-share controls. The practice videos demonstrate how to install and enable Cowork, cross-reference multiple documents, automate repetitive copy-paste tasks, generate sprint reports from exported data, and draft smart project emails. You will use these demonstrations to design a weekly coordination rhythm that separates source facts, inferred patterns, unresolved questions, and manager-approved actions. This module is intended for project managers, scrum masters, PMO analysts, and delivery coordinators; no coding experience is required, but you should have a basic understanding of project reporting and document management. You will leave with a Cowork setup checklist, source-to-output map, reporting template, and communication review checklist. The final activity verifies that you can produce a reviewed project reporting package while preserving evidence and accountability. The intended result is not blind automation; it is faster preparation with visible assumptions, controlled access, and clear approval gates.