Applied AI and Cloud Computing
Associate in Science School of Science, Technology, Engineering, and Mathematics (STEM) · Merced College · 2026-2027 Catalog
The Associate in Science degree in Applied AI and Cloud Computing equips students with the knowledge and skills to design, implement, and manage AI-driven cloud solutions within secure infrastructures. This program covers key topics such as cloud computing principles, AI integration, database management, networking, cybersecurity, operating systems, and end-user support. Students gain practical, hands-on experience with advanced tools and technologies, preparing them for entry-level positions in cloud computing and AI-enhanced environments. Graduates will be well-prepared to pursue industry certifications, advance their careers in the IT field, or continue their education in related disciplines.
The Associate of Science degree in Applied Al and Cloud Computing is available for students who meet the graduation requirements and complete the following required courses, with a minimum grade of a “C” (or P) in each course in the degree and maintain a 2.0 GPA.
Program Learning Outcomes:
A. Describe the fundamentals of AI-driven solutions across hardware, software, cloud computing, networking, and the responsibilities of a cloud and AI professional.
B. Demonstrate competency in cloud computing and user support including the ability to configure, install, diagnose, cloud configuration issues.
C. Analyze performance metrics of a cloud architecture to respond dynamically to information and computing technology workloads and optimize service costs.
D. Design Infrastructure as a Service (IaaS) solutions by provisioning computing instances, establishing virtual private networks, managing databases and storage within a secure cloud environment.
E. Demonstrate competency in integrating AI-driven solutions with cloud architectures and general IT system.
F. Demonstrate an ability to read and interpret technical information, as well as communicate with and write clearly for a wide range of audiences.
G. Collaborate in a team environment designing business solutions in an industry aligned project.
Program Requirements:
Program Core: (44-45 Units)
| Course | Title | Units |
|---|---|---|
| CPSC-01 | Introduction to Computer Information Systems | 4 |
| CTIS-03 | Information and Communication Technology Essentials | 4 |
| CTIS-15 | Computer Network Fundamentals | 3 |
| Programming: Plus 3 units from the following: | ||
| CPSC-05A | Application Development and Programming | 3 |
| CTIS-02 | Programming Concepts and AI Driven Methodologies | 3 |
| CTIS-04 | Programming with Python | 3 |
| CTIS-05 | Al-Driven IT Project Management | 3 |
| Specialization: Plus 27-28 units from the following: | ||
| CTIS-08 | Introduction to Smart Systems Analysis and Design | 3 |
| CTIS-09 | Cloud Computing Infrastructure and Services | 3 |
| CTIS-10 | Introduction to Databases and Intelligent Systems | 3 |
| CTIS-11 | Linux System Administration | 3 |
| CTIS-13 | Al Concepts and Real-World Applications | 4 |
| CTIS-19 | Cyber Ops | 3 |
| CTIS-25 | Application Development in Amazon Web Services | 3 |
| CTIS-26 | Machine Learning, Analytics and Big Data in Cloud Services | 3 |
| CTIS-27 | Cloud Security and AI: Foundational Concepts | 3 |
| CTIS-29 | AI Solutions with Microsoft Azure Cloud | 3 |
| CTIS-31 | Technology, Ethics, the Individual, and Society | 3 |
| Mathematics: Plus 3-4 units from the following: | ||
| MATH-03 | Calculus for Business | 4 |
| MATH-C2210 | Calculus I | 4 |
| MATH-15 | Finite Mathematics | 3 |
| STAT-C1000 | Introduction to Statistics | 3 |
| Total | 44-46 | |
Completion of MCCD-GE Breadth: (24 units)
Total Units that may be double counted: (6-7 units)
Elective (as needed to reach 60 units) Units: (0 Units)
Total Degree Units: (62-64 Units)