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ITI 572 - Claude for Work & Productivity

Registration Option: Open Enrollment

Total Course Hours: 24

If you do not see a class listed in our catalog, it is not available for registration at this time.

Description

This course is ideal for working professionals and individuals seeking practical AI productivity and automation skills for today’s evolving workplace. Students will develop hands-on expertise in prompt engineering, advanced conversational AI techniques, and AI-assisted problem-solving using Claude. Through real-world applications, participants will learn how to use Claude for research, reporting, data interpretation, content creation, project management, and workflow automation.

The course also explores how to build persistent knowledge bases with Claude Projects, create interactive applications and visual content using Claude Artifacts, and automate complex business tasks through Claude CoWork and the Computer Use API. In addition, participants will examine responsible AI practices, including data privacy, ethical considerations, and strategies to identify and mitigate AI bias in professional environments.

Prerequisites

Basic computer literacy: file management, web browsing, email, basic knowledge of prompt engineering or Introduction to Generative AI (ITI555).

Objectives

Upon successful completion of this course, students will be able to write effective prompts to generate high-quality AI outputs for professional tasks; conduct research, analysis, and summarization while managing accuracy, hallucinations, fact-checking, and data privacy; create professional reports, emails, summaries, and presentations using advanced prompting techniques; organize AI-assisted workflows using Claude Projects and knowledge bases; interpret data and documents to identify insights, patterns, and potential AI bias; create reusable documents, templates, checklists, and reference materials using Claude Artifacts; automate recurring professional tasks using Claude Cowork and reusable prompt templates; and complete a capstone project applying responsible AI practices to a real-world scenario.