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This course is designed for professionals seeking to enhance their workplace efficiency and creative capabilities by leveraging the power of Artificial Intelligence. Students will gain hands-on experience with leading AI tools integrated into common business applications like Microsoft 365 and Google Workspace, as well as standalone platforms for automation, data analysis, and creative content generation. The curriculum focuses on practical, real-world applications, moving from foundational concepts of AI and prompt engineering to advanced skills in automating workflows, analyzing data, and developing client-facing solutions. Through a series of practical labs and a final capstone project, learners will build a portfolio of AI-driven work, equipping them with immediately transferable skills.

No prior AI knowledge is required. However, successful students should have:

• General Computer Proficiency: Comfort with navigating a computer, using a web browser, and managing files.

• Basic Office Software Skills: Prior experience using a word processor (e.g., MS Word, Google Docs) and a spreadsheet program (e.g., MS Excel, Google Sheets).

• A Willingness to Explore: An eagerness to learn and experiment with new digital tools.

Upon successful completion of this course, students will be able to:

1. Generate Professional Content: Utilize AI writing assistants to draft, summarize, and refine business communications, reports, and marketing materials.
2. Automate Repetitive Tasks: Design and implement multi-step automated workflows that connect common business applications to save time and reduce errors.
3. Analyze Business Data: Employ AI-driven tools within spreadsheets and business intelligence platforms to identify trends, create visualizations, and derive actionable insights from data
4. Enhance Creative Presentations: Use AI tools to design visually compelling presentations and generate custom images and video for professional use.
5. Apply AI Ethically: Evaluate the ethical implications of using AI in the workplace, including data privacy, potential for bias, and responsible implementation.

A comprehensive course e-book, lab manual, and AI-generated video lectures will be provided via the learning platform. No software purchases are required. Students will use the free versions of the following tools:

• Core AI Assistants: Microsoft Copilot, Google Gemini
• Productivity Suites: Google Workspace or Microsoft 365 Online
• Data & BI Platforms: Microsoft Power BI Desktop, Google Looker Studio
• Automation Platforms: Zapier, Microsoft Power Automate
• Creative AI Tools: Microsoft Designer, HeyGen
• Chatbot Platforms: Tidio, Voiceflow

Fall 2025: 

September 18 - December 4, 2025 | Thursdays | 6:00 - 8:00 pm 

Total Instructional Hours: 12; Total Sessions: 10; ONLINE*

*This course is delivered in a hybrid format, which blends live, scheduled online sessions with flexible, self-paced learning. Live classes will be held synchronously via Zoom on the dates specified in the schedule below for real-time lectures, discussions, and workshops. On other weeks, you will complete assignments and learning modules asynchronously (on your own time) via the course management system. This model combines the benefits of direct interaction with the instructor and peers with the flexibility to learn at your own pace.

$445 + $25 registration fee

Total: $470*

*CCNY students, staff, and Alumni Association members are eligible for a 10%  discount!

Carlos J. Garcia

Professor Garcia brings a wealth of experience in AI and machine learning with a solid foundation in cybersecurity, networking, and law enforcement education.

With a Master of Science in Information Assurance from Eastern Michigan University and numerous certifications in IT and public safety, Professor Garcia has been at the forefront of cybersecurity and digital forensics education. He played a pivotal role in initiating the cybersecurity curriculum for high schools in Michigan, significantly shaping the state's approach to cybersecurity education. As a tenure-track Assistant Professor at SUNY Westchester Community College and an adjunct professor at Eastern Michigan University, he has developed and administered a wide range of curriculum materials across various teaching platforms, from traditional classrooms to asynchronous online courses. At Eastern Michigan University, he has taught through the master's level, contributing to the development of courses in Information Assurance.

Known for his dynamic presentations and deep industry knowledge, Professor Garcia has guided numerous learners through complex IT topics and practical applications in both educational and industry settings. He was also a co-chair for the National Initiative for Cybersecurity Education (NICE) committee at NIST, where he contributed to shaping national strategies on cybersecurity education, training, and workforce development. His leadership extends into national cybersecurity defense competitions and significant contributions to community and professional educational initiatives, making him a distinguished figure in the fields of AI, cybersecurity, and public safety education.