Cloud Computing & Artificial Intelligence (AI)

In the modern digital landscape, cloud technology stands at the forefront of innovation for businesses across the world. The exponential growth of data and the rise of advanced analytics have created an environment in which cloud computing and artificial intelligence (AI) have become crucial to many information technology (IT) companies, both nationally and locally. Our Associate of Applied Science in Cloud Computing offers in-depth, hands-on training, preparing students for a broad range of IT-focused careers focused on cloud computing and AI.

Cloud Solutions Architect

A Cloud Solutions Architect designs, orchestrates, and implements cloud-based solutions tailored to specific organizational needs. They leverage their deep understanding of cloud services and platforms to ensure optimal performance, security, and scalability of deployments. Balancing technical expertise with strategic insight, they guide organizations in their digital transformation journey, ensuring seamless integration and maximized cloud potential.

DevOps Engineer

A DevOps Engineer bridges the gap between software development and IT operations, utilizing tools, practices, and cultural philosophies to streamline and automate processes for continuous integration and deployment. They collaborate closely with developers, IT staff, and stakeholders to optimize the software development lifecycle, enhancing efficiency, reliability, and speed.

AIOps

An AIOps engineer harnesses artificial intelligence to automate and enhance IT operations, analyzing vast amounts of operational data to detect and resolve issues in real-time. They integrate AI-driven techniques with IT tools and processes, optimizing system performance, predicting outages, and streamlining incident management.

MLOps

An MLOps engineer integrates machine learning workflows with DevOps practices, ensuring smooth development, deployment, and scaling of ML models in production. They focus on automating ML lifecycle processes, maintaining model consistency, and facilitating collaboration between data scientists and operations teams.

SysOps Engineer

A SysOps engineer manages, maintains, and troubleshoots IT systems and infrastructure, ensuring their stability, reliability, and optimal performance. They utilize tools and practices to monitor system health, automate routine tasks, and swiftly address technical issues as they arise.

SecOps Engineer

A SecOps engineer focuses on integrating security protocols into IT operations, proactively identifying vulnerabilities, and mitigating threats. They collaborate with both security and operations teams to ensure that security measures align with infrastructural demands, facilitating a secure and compliant technological environment.

AWS Academy

We have partnered with Amazon Web Services (AWS) to become a member of AWS Academy. Our AWS Academy membership allows our students to work hands-on with AWS cloud resources while studying cloud computing. Additionally, students who complete courses may qualify for discounted or free AWS Certification exam vouchers.

Intel AI for Workforce Program

We have partnered with Intel to bring industry-leading coverage of artificial intelligence to our students. Intel has created the AI Education Workforce Program to empower community college students across the U.S. with the skills required to power the new AI-focused industries within the IT sector. Our courses on AI cover a broad range of topics, including ethics, machine learning (ML), natural language processing (NLP), and computer vision (CV).

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