This course is designed to provide students with a foundational understanding of Artificial Intelligence (AI) concepts, techniques, and applications. The course will cover the history of AI, basic principles, and various AI techniques such as machine learning, natural language processing, and computer vision. Students will gain hands-on experience with AI tools, including popular AI apps, and explore the ethical considerations of AI in the real world. Field trips may be required. Recommended Prep: CNIT R161. Transfer credit: CSU; UC.

Teaches the knowledge and skills needed to install, configure, operate, and manage the Linux operating system. Covers topics in Linux system and network administration, Linux network services, Linux Internet services, Linux system maintenance, and security and technical problem solving. Recommended Prep: CNSE M01. Transfer credit: CSU. Notes: Prepares students for CompTia Linux+ certification examination.

Provides an overview of the architecture, structure, functions, components and models of the Internet and other computer networks. Covers topics such as Internet Protocol (IP) addressing, network technologies, media and topologies, protocols, the Open Systems Interconnection (OSI) Layer, Transmission Control Protocol (TCP) Layer, security, management tools, and Local Area Network (LAN) versus Wide Area Network (WAN) environments. Prepares students for CompTIA.org Network+ certification. Transfer credit: CSU. Formerly: CNSE M10.