Course Outline of Record

Item	Value
Eff Term	Fall 2026
Curriculum Committee Approval Date	10/15/2025
Top Code	051400 - Office Technology/Office Computer Applications (CTE)
Units	0 Total Units (Lecture Units 0.667-1)
Hours	12-18 Total Hours (Lecture Hours 12-18)
Total Outside of Class Hours	0
Total Student Learning Hours	12-18
Course Credit Status	Noncredit (N)
Material Fee	No
Basic Skills	Not Basic Skills (N)
Repeatable	Yes; Repeat Limit 99
Open Entry/Open Exit	No
Grading Policy	P/NP/SP Non-Credit (D)

Course Description

This noncredit course introduces the fundamentals of Artificial Intelligence (AI) with a focus on practical tools for professional use. Students will explore generative AI platforms, ethical considerations, and real-world applications across communication, content creation, productivity, and industry-specific tasks. Through hands-on practice, students will learn how to streamline workflows and enhance workplace efficiency and creativity using AI tools. Not Transferable.

Course Level Student Learning Outcome(s)

1. Apply generative AI tools to streamline workplace tasks such as writing, communication, content creation, and project management.
2. Demonstrate responsible use of AI technologies by identifying ethical considerations, data privacy concerns, and appropriate use cases across professional settings.

Course Objectives

• Learners will define artificial intelligence and distinguish between generative AI platforms for professional applications. They will apply prompt engineering techniques for workplace tasks and integrate AI-powered productivity tools within Google Workspace and Microsoft 365 environments. Learners will utilize AI tools for professional writing, content creation, and research while implementing visual and multimedia AI tools for presentations and graphic design. The course enables learners to evaluate industry-specific AI applications across various sectors, including education, business, marketing, and project management, and demonstrate ethical AI practices that incorporate data privacy considerations. Learners also create personalized AI efficiency toolkits tailored to specific professional roles. Learners will assess the impact of AI integration on workplace productivity and professional development.

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Lecture Content

Introduction to Artificial Intelligence  

• What AI is (and what it is not) 
• Overview of generative AI (ChatGPT, Gemini, Copilot, Claude, etc.) 
• Ethical considerations, data privacy, and responsible AI use 

AI for Everyday Productivity 

• Using AI to streamline email, calendar, and communication tasks (e.g., Gmail + Gemini, Outlook + Copilot) 
• AI for drafting documents, creating presentations, summarizing meetings 
• AI-integrated tools in Google Workspace and Microsoft 365 CoPilot 

AI for Research, Writing & Content Creation  

• Prompt engineering basics 
• Using ChatGPT or Claude for content drafts, reports, outlines, and brainstorming 
• Tools for paraphrasing, summarizing, and translating (e.g., QuillBot, DeepL, ChatGPT) 

Visual & Multimedia AI Tools 

• AI for graphic design: Canva AI, Adobe Firefly, and/or emerging technology tools
• Text-to-image tools: DALL·E, Midjourney (overview only) 
• AI video tools: Pictory, Descript for auto-subtitling or editing 

AI Tools by Industry or Role

• Education: lesson planning, grading, feedback tools (e.g., MagicSchool.ai) 
• Business/Admin: automating routine tasks, data entry, client emails 
• Marketing/Communications: copywriting, campaign ideas, SEO 
• Customer Service: AI chatbots, FAQs, sentiment analysis 
• Project Management: AI in tools like Notion, Asana, Trello 

AI Trends and Future Outlook 

• Future AI developments and potential societal changes

Method(s) of Instruction

• Enhanced NC Lect (NC1)
• Live Online Enhanced NC Lect (NC9)
• Online Enhanced NC Lect (NC5)

Instructional Techniques

Lecture and application of ideas Demonstration and practice of problem solving Digital presentations Videos

Reading Assignments

Assigned readings from OER, websites, PowerPoints, and content pages. 

Writing Assignments

Provide written feedback from peer reviews, reflections on skills learned, and how they relate to real-world scenarios. 

Out-of-class Assignments

Practice activities, videos related to course topics

Methods of Student Evaluation

• Short Quizzes
• Written Assignments
• Projects (Individual/Group)
• Oral Presentations
• Skills Demonstration

Demonstration of Critical Thinking

Students demonstrate critical thinking by evaluating the appropriateness, limitations, and ethical implications of AI tools in professional contexts. Through hands-on practice, students critically assess AI-generated outputs for accuracy and bias, analyze potential risks and privacy concerns, and make informed decisions about appropriate use cases. Students apply critical thinking skills by selecting suitable AI tools for specific workplace scenarios, evaluating content reliability, and determining when human oversight is essential versus when AI automation is appropriate.

Required Writing, Problem Solving, Skills Demonstration

Writing: Students complete reflective writing assignments analyzing how AI tools relate to real-world professional scenarios, provide written peer review feedback, and document their learning through skills-based reflections. Problem Solving: Students apply AI tools to solve practical workplace challenges through real-world scenarios, develop personalized "AI efficiency toolkits" for their specific job roles, and troubleshoot AI implementation issues across different professional contexts. Skills Demonstration: Students demonstrate proficiency through hands-on practice with generative AI platforms (ChatGPT, Claude, Copilot), practical application of AI tools for communication, content creation, and productivity tasks, individual and group projects showcasing AI integration in professional workflows, and skills assessments validating competency in responsible AI use and tool selection.

Resources Subscreen

• Other: . . ().

Eligible Discipline(s)

• Office technologies (secretarial skills, office systems, word processing, computer applications, automated office training): Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.
• Computer information systems (computer network installation, microcomputer technology, computer applications): Any bachelor’s degree and two years of professional experience, or any associate degree and six years of professional experience.