Information Technology Infrastructure Certificate

Turn raw data into real-world insight. This subplan introduces the tools that power today’s analytics pipelines, SQL and NoSQL databases, Python, Power BI, and cloud-based platforms such as AWS Redshift and S3. Students learn to design data architectures, clean and visualize information, and apply statistical and machine-learning methods to solve business problems. Graduates leave ready to build dashboards, interpret results, and support data-driven decision-making in any organization. Career paths include data analyst, data engineer, business intelligence developer, database administrator, analytics consultant, or data scientist.

Protect systems, people, and data. Students gain practical experience with Splunk, Wireshark, Nmap, Metasploit, and AWS Security Hub, learning to detect, defend, and respond to cyber threats. This subplan combines technical labs with governance frameworks such as NIST 800-53 and ISO 27001 to connect security practices to policy. Graduates are well prepared for roles in cybersecurity operations, compliance, and risk management, along with certifications such as Security+ or CISSP. Career paths include information security analyst, penetration tester, security engineer, cloud security specialist, governance risk and compliance (GRC) analyst, or cybersecurity consultant.

Where development meets security and strategy. This subplan immerses students in Agile, Scrum, GitHub Actions, Terraform, Jenkins, Docker, and Kubernetes, linking coding and infrastructure to organizational goals. Learners practice continuous integration and deployment (CI/CD), automate workflows, and manage risk through secure-by-design practices. With a focus on real teamwork, project portfolios, and cloud pipelines, students graduate prepared to lead DevSecOps or IT project teams. Career paths include DevOps engineer, DevSecOps engineer, cloud automation engineer, IT project manager, scrum master, systems integrator, or infrastructure lead.

Explore how intelligent systems learn, predict, and create. Students experiment with Python, TensorFlow, PyTorch, and AWS AI Services to design and train models for image, language, and data analysis. The subplan emphasizes hands-on labs in cloud environments, ethical use of algorithms, and scalable deployment using modern automation tools. By the end, learners can move from building a prototype to delivering production-ready AI solutions. Career paths include machine learning engineer, AI specialist, data scientist, automation engineer, predictive analytics developer, or research analyst.

Build and manage the backbone of modern IT. This subplan blends traditional networking with next-generation cloud design using Cisco Packet Tracer, AWS VPC, Azure Network Manager, and VMware ESXi. Students learn routing, virtualization, and hybrid-cloud deployment while configuring secure, high-availability systems. The result is a strong pathway to careers in network administration, cloud engineering, and systems architecture. Career paths include network engineer, cloud infrastructure engineer, systems administrator, network architect, cloud solutions architect, or IT operations manager.

Students may design their own 15 to 18-credit area of emphasis based upon individual academic background and professional experience and goals. CCAPS department/advisor approval is required.