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Introduction to AI and Machine Learning

The City College of New York’s Continuing and Professional Studies is proud to offer the Intro to Artificial Intelligence and Machine Learning Certificate Program—an accessible pathway into one of the most transformative technologies of our time.

As AI reshapes industries across the global economy, this course prepares individuals to understand and apply core concepts of artificial intelligence, machine learning, and automation tools. Whether you’re new to tech or enhancing your skill set, this certificate provides the practical knowledge needed to succeed in today’s AI-powered workplaces.

Participants will explore the foundations of machine learning algorithms, natural language processing (NLP), predictive analytics, and neural networks, learning how these tools solve real-world business problems. Our goal is to equip learners with the critical thinking and hands-on skills to navigate—and contribute to—this fast-evolving field.

Course Description

This course provides a broad introduction to Artificial Intelligence (AI) and Machine Learning (ML) for beginners, emphasizing real-world applications and ethical considerations. Students will learn foundational AI and ML concepts, such as pattern recognition, neural networks, and data preparation, along with user-friendly tools for building simple AI models. By the end of the course, students will understand how AI is applied across industries like healthcare, business, and social media, and how to engage thoughtfully with AI technologies.

Pre-requisite

No prior experience with AI or programming is required. However, students should be comfortable with using computers and have basic familiarity with spreadsheets (such as Excel) and general technology concepts. Curiosity about AI's impact on society is also recommended.

Learning Outcomes

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

Explain foundational AI and Machine Learning concepts, including neural networks, supervised and unsupervised learning, and data preparation.
Identify practical applications of AI across different sectors and evaluate their impact on society.
Use user-friendly, no-code tools to create simple AI models and interpret their outcomes.
Analyze and discuss ethical considerations, including AI bias, fairness, and privacy.
Engage critically with current events and examples of AI in everyday life.

Required Books

"Introduction to AI and Machine Learning: Beginners Edition" by Professor Carlos J. Garcia (provided as an ebook)

Additional resources will be provided online through the course website.

Schedule

Fall 2025:

September 30 - December 2, 2025 | Tuesdays | 6:00 - 8:00 pm

Total Instructional Hours: 20; Total Sessions: 16; 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.

Tuition

$445 + $25 registration fee

Total: $470*

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

Instructor

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.

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