Cloud Computing Analyst Certificate

Two cloud computing analysts collaborating on a project.

Begin your career as a Cloud Computing Analyst with a professional certificate

This program prepares students to deploy and manage Artificial Intelligence (AI) and data-driven applications using leading cloud-based platforms. Students gain experience with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to design cloud architectures and manage cloud-based analytics. Emphasis is placed on supporting AI infrastructure and scalable data solutions across multiple industries.

Certificate program requirements

This 18 credit-hour certificate program prepares students to deploy and manage Artificial Intelligence (AI) and data-driven applications using leading cloud-based platforms. Students gain experience with Amazon Web Services (AWS), Microsoft Azure, and Google Cloud to design cloud architectures and manage cloud-based analytics. Emphasis is placed on supporting AI infrastructure and scalable data solutions across multiple industries.

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Program Requirements

Program Requirements (Hours required: 18)
Number	Course Title	Credits
AIC 101	Careers in Artificial Intelligence, Machine Learning, and Cloud Computing	2
AIC 230	Fundamentals of Azure	2
AIC 240	Amazon Web Services Cloud	2
CIS 211	IT Project Management	3
Description: Provides students with a comprehensive introduction to Information Technology project management. Includes project selection, initiation, planning, execution, monitoring and closure. Students gain practical project management skills and competencies related to Information Technology project management. Activities are performed using a currently popular project management software package. Aligns to the CompTIA Project+ certification. Prerequisite: CAS 105, CAS 115 and CAS 125 with grades of C or better, OR CAS 160 OR CIS 101 OR WEB 110 OR NET 105, with a grade of C or better; AND math placement into MTH 101 or higher. https://www.harpercollege.edu/testing/mathplacement.php Lecture Hours: 2 Lab Hours: 2 Contact Hours: 4 Class Schedule: Summer 2026 \| Fall 2026
NET 105	Information Technology Fundamentals	3
Description: Provides students with the skills required to identify and explain the basics of computing, IT, infrastructure, application and software, software development, database fundamentals and security. Contains basic computer maintenance and support principles. Includes computer science related topics including programming concepts and principles of software development and database design. Aligns to the CompTIA IT (ITF+) Fundamentals certification. Lecture Hours: 2 Lab Hours: 2 Contact Hours: 4 Class Schedule: Summer 2026 \| Fall 2026
NET 121	Computer Networking	3
Description: Provides students with hands-on experience implementing and maintaining computer networks. Includes networking standards, architecture, models, protocols, operations, security and troubleshooting using current network operating systems. Introduces IP addressing and Ethernet fundamentals. Course prepares students to build simple local area networks (LANs) that integrate IP addressing schemes and foundational network security. Aligns to the CompTIA Network+ certification. Prerequisite: CIS 101 or NET 105 or WEB 110 with a grade of C or better. NET 105 can be taken concurrently with NET 121. Lecture Hours: 2 Lab Hours: 2 Contact Hours: 4 Class Schedule: Summer 2026 \| Fall 2026
NET 280	Cybersecurity Fundamentals	3
Description: Provides students with a hands-on foundation of essential cybersecurity concepts, principles, trends, practices, technologies, and compliance. Includes topics related to threats, attacks, vulnerabilities, risk, emerging technologies, security architecture and design, identity, and access management, risk management, cryptography, and secure communications. Aligns to the CompTIA Security+ Certification. Prerequisite: NET 121 or NET 122 with a grade of C or better. Lecture Hours: 2 Lab Hours: 2 Contact Hours: 4 Class Schedule: Summer 2026 \| Fall 2026
Total Hours		18

Program learning outcomes

Upon completion of the program, students will be able to:

Configure, deploy, and manage AI and data-driven applications using cloud platforms such as AWS, Azure, and Google Cloud.
Implement cloud architectures that support scalable and secure AI infrastructure.
Analyze data flow and storage solutions within cloud environments to optimize performance.
Apply industry best practices for cloud-based analytics, monitoring, and cost management.

Related programs

Students interested in Artificial Intelligence and Cloud Computing may also be interested in:

For more information about cloud computing courses at Harper College, contact Admission Outreach at 847.925.6700.