This course provides students with the knowledge and skills required to install, configure, manage, and maintain server installations. The course covers the server lifecycle through several key themes including server administration concepts, virtualization and cloud computing, security principles, physical asset management, server hardware and storage configuration, installation and maintenance of server operating systems, and the management of data security and service availability. 
Students learn how to install and configure server hardware and server operating systems while gaining practical experience managing both Windows and Linux server environments.The course explores the implementation of server hardening techniques and security controls, troubleshooting of common server problems, and general server maintenance procedures. Students also examine high availability strategies, disaster recovery planning, and backup and restore mechanisms to 
ensure reliability and continuity of services. Through hands-on labs and practical exercises, students develop the operational skills necessary to deploy and manage enterprise server infrastructure.To reflect modern IT administration practices, the course also introduces the responsible use of Generative Artificial Intelligence (Gen-AI) as a server administration support and diagnostic tool. Students learn how AI-assisted tools can support system administrators by helping analyze server logs, suggest troubleshooting strategies, generate configuration documentation, explain infrastructure concepts, and assist in scripting automation tasks. Students critically evaluate AI-generated recommendations to ensure that configurations remain secure, reliable, and compliant with enterprise system administration standards.By the end of the course, students will be able to install and manage server infrastructure, implement security and availability solutions, troubleshoot server environments, and responsibly leverage AI-assisted tools to enhance system administration, diagnostics, and documentation processes.
 

This course explores the fundamental concepts in internetworking. The focus of this course is TCP/IP. Students will explore the DOD and OSI reference models and learn to identify TCP/IP protocol suite components and implement IP addressing and Subnet masks. Students will learn about name resolution and TCP/IP naming services and how to navigate the Cisco IOS interface and perform basic operations on Cisco routers and switches. To reflect modern networking practices, the course also introduces the responsible use of Generative Artificial Intelligence (Gen-AI) as a network research, diagnostic and design tool to help with the understanding of the internetworking models and assist with skillful designing of IP addressing, name resolution and various TCP/IP services. Students are also introduced to using AI in learning the Cisco IOS interface on routers and switches.
 

This course explores the configuration and administration of common Cisco network devices. Students will learn about layered internetwork communication, protocols and standards, and how to plan and design Internetworked LANs and WANs. This course will allow the students to work with the Cisco Internetwork Operating System (IOS) in a simulated environment. Students will learn to implement and manage Cisco routers and switches.To enhance student learning with modern approaches and 
practices, Generative Artificial Intelligence (Gen-AI) is also used in this course. Students learn how to utilize AI as a tool for learning how to plan and design and internetworked LAN and WAN environments with emphasis on implementing and managing Cisco routers and switches.

This course explores the installation and administration of Windows Server in on-premises, hybrid, and Infrastructure-asa-Service (IaaS) environments. Students learn how to integrate Windows Server environments with Microsoft Azure services and manage Windows Server workloads across hybrid infrastructures. The course  examines the deployment, packaging, security, updating, and administration of Windows Server workloads using on-premises, hybrid, and cloud technologies. Students develop skills for implementing and managing hybrid solutions involving identity, security, management, compute, networking, storage, monitoring, high availability, and disaster recovery.Through practical labs, demonstrations, and guided exercises, students gain hands-on experience configuring Windows Server roles, managing Active Directory environments, implementing hybrid identity solutions, administering networking and storage services, and deploying virtual machines and containerized workloads.
In addition to traditional infrastructure administration practices, this course integrates Generative Artificial Intelligence (GenAI) as a technical support and systems administration tool. Students learn to use AI-assisted tools to interpret system logs, generate PowerShell scripts, troubleshoot network and directory services configurations, analyze infrastructure deployment scenarios, and accelerate documentation and configuration tasks. Generative AI is used as an augmentation tool to help students explore solutions, analyze system behaviour, and validate configuration strategies, while students remain responsible for verifying outputs and applying Microsoft best practices.This course prepares students for hybrid infrastructure administration roles in environments that combine Windows Server, virtualization technologies, and Azure cloud services, while also developing the ability to use AI-assisted tools responsibly in modern IT operations workflows. 

This course continues with the development of knowledge and skills required to administer and configure Windows Server in hybrid infrastructure environments. Students develop advanced capabilities in five key areas: securing Windows on-premises and hybrid infrastructures, implementing and managing Windows Server high availability, implementing disaster recovery strategies, migrating servers and workloads to Microsoft Azure, and monitoring and troubleshooting Windows 
Server environments.Through practical labs, guided exercises, and applied infrastructure scenarios, students learn how to configure Windows Server security features, manage hybrid Active Directory environments, implement failover clustering, configure disaster recovery solutions, migrate workloads to Azure platforms, and diagnose infrastructure performance and reliability issues. In addition to traditional hybrid infrastructure administration practices, this course incorporates Generative Artificial 
Intelligence (Gen-AI) as a technical operations and systems administration support tool. Students learn how to use AI assistants to interpret system logs, generate PowerShell automation scripts, analyze security configurations, troubleshoot infrastructure issues, and design hybrid infrastructure architectures. Generative AI tools help students accelerate system analysis, explore alternative configurations, and support infrastructure documentation, while students remain responsible for validating configurations, verifying outputs, and applying Microsoft best practices. By the end of the course, students will be capable of managing complex Windows Server hybrid infrastructures that integrate on-premises systems, virtualization platforms, and Azure cloud services, while responsibly leveraging AI-assisted tools to enhance operational efficiency, security analysis, and infrastructure troubleshooting. 

This course focuses on the implementation and support of cloud-based infrastructure services within the broader context of IT systems operations in a datacenter environment. Students learn how to deploy, migrate, optimize, and protect missioncritical applications in cloud environments. The course explores the challenges associated with multi-cloud infrastructures and the techniques required to design secure and resilient cloud architectures. The course begins with an overview of foundational cloud architecture and design concepts, introducing the technologies and operational principles that underpin modern cloud platforms. Students then examine the deployment and management of cloud networks, with emphasis on securing cloud resources and implementing best practices for cloud infrastructure management. The course concludes with topics related to cloud optimization, monitoring, high availability, and disaster recovery to ensure resilient and secure cloud 
environments.Hands-on labs and applied exercises allow students to practice deploying virtual machines, provisioning cloud resources, managing storage systems, configuring networking components, implementing automation workflows, and deploying security controls across multiple cloud platforms.To support modern cloud operations practices, this course also introduces Generative Artificial Intelligence (Gen-AI) as a technical support and analysis tool within the cloud operations lifecycle. Students learn how AI-assisted tools can help analyze deployment configurations, generate infrastructure templates, assist with troubleshooting cloud resources, interpret monitoring metrics, and propose security and automation strategies. These tools enable faster problem analysis and improved infrastructure documentation while students remain responsible for validating outputs and ensuring that configurations follow industry best practices.By the end of the course, students will be able to deploy, secure, automate, and monitor cloud environments while responsibly leveraging AI-assisted tools to support cloud operations, automation, and infrastructure management.

This course will provide the students with the knowledge and skills required to configure, manage, operate, and troubleshoot Linux in on-premises and cloud-based server environments. Students will learn to use security best practices, scripting, containerization, and automation.The course aligns its coverage to the CompTIA Linux+ exam objectives into blocks based around the following themes: Linux concepts; Server administration; Network management and security; Scripting, automation, and installation of Linux.To promote a modern approach to administering and managing the Linux operating system, students are introduced to the responsible and secure use of Generative Artificial Intelligence (Gen-AI) as a tool for researching the setup and configuration of Linux and Linux environments.

In this course, students will learn to use PowerShell scripting to automate the common tasks and administrative jobs that can be applied on the client or server version of Windows. The course starts with an introduction to the PowerShell language and scripting environment and then proceeds to a thorough explanation of creating functional scripts that can be used for performing common tasks that involve working with files, Internet- connected scripts, user interaction, and solving tasks 
in systems and enterprise management deployments such as working with Active Directory and the file system.

To enhance student learning and provide a modern approach to the use of PowerShell, students are also introduced to a responsible utilization of Generative Artificial Intelligence (Gen-AI) as a tool for creating scripts efficiently and using them in an effective manner. AI tools and technologies are used to facilitate creating and using PowerShell scripts that provide meaningful solutions to a variety of issues in a timely manner.

This course introduces students to the Python programming language. Students will continue to integrate Object-Oriented programming concepts while learning the features of the Python programming language. Students will start with the implementation of fundamental structures of programming using the Python syntax and libraries. Students will then move on to using functions, files, lists, tuples, and dictionaries and implementing those features into a Python program. Finally, the 
course will explore Object Oriented programming with Python and the GUI programming features that are provided by Python.To reflect modern software development practices, the course also introduces the responsible use of Generative Artificial Intelligence (Gen-AI) as a programming assistance and productivity tool. Students learn how AI-assisted development tools can support programming tasks such as generating example code snippets, explaining algorithms, debugging program logic, documenting functions, and suggesting alternative implementation approaches. Students critically evaluate AI-generated code to ensure correctness, efficiency, security, and alignment with Python programming best practices. By the end of the course, students will be able to design and implement Python programs using structured programming and object-oriented techniques while responsibly leveraging AIassisted tools to support problem solving, debugging, code documentation, and program design.

This course provides a broad-based introduction to the theory and practice of computer and network security. It introduces foundational security concepts without focusing on overly specialized implementations, preparing students to pursue advanced roles in various cybersecurity domains. Topics include computer system protection, network security, access control and authentication, cryptography, and operational and organizational security practices.The course emphasizes both conceptual understanding and practical application through extensive hands-on labs, exercises, and scenario-based learning. Students explore threat actors, attack methodologies, cryptographic systems, identity and access management, infrastructure security, vulnerability management, and incident response strategies. The course is aligned with the objectives of the CompTIA Security+ certification exam (SY0-701), ensuring that students develop industry-relevant security competencies. 

To reflect modern cybersecurity practices, the course also introduces the responsible use of Generative Artificial Intelligence (Gen-AI) as a cybersecurity analysis and decisionsupport tool. Students learn how AI-assisted tools can support activities such as threat analysis, log interpretation, vulnerability assessment, security policy drafting, incident response planning, and security monitoring. Emphasis is placed on critically evaluating AI-generated outputs to ensure accuracy, mitigate bias, and prevent security risks introduced by incorrect or misleading recommendations. By the end of the course, students will be able to analyze security threats, implement security controls, assess vulnerabilities, respond to incidents, and responsibly leverage AI-assisted tools to enhance cybersecurity analysis, monitoring, and decision-making processes.

The increased reliance on computer systems, the internet, connected technologies, and smart devices has made cybersecurity a critical concern for organizations and individuals alike. Keeping devices, data, and information secure and protected from vulnerabilities is a critical area of activity for all organizations. This course provides students with an introduction to the field of cybersecurity. Students will be introduced to the four distinct challenges to creating a cybersecurity defense; securing the infrastructure, securing the devices, securing the local network, and securing the perimeter. The course will explore the fundamental concepts of each challenge and the types of vulnerabilities associated with each. Students will learn how to identify the risks and vulnerabilities in each area and describe counteractions to mitigate the risks.To promote a modern approach to cybersecurity, students are also introduced in this course to the responsible use of Generative Artificial Intelligence (Gen-AI) as a tool for researching and exploring cybersecurity vulnerabilities, the challenges they present, the defenses created and used as countermeasures and the implementation of these defenses in various situations and contexts.

This course will explore the role and responsibilities of the cybersecurity specialist in monitoring, detecting and responding to security incidents in information systems and networks. The course will introduce the tools and tactics used to manage cybersecurity risks, identify various types of common threats, evaluate an organizations security, collect security intelligence and handle incidents as they occur. The course is designed to foster a comprehensive approach to security. This course aligns 
to the objectives of the CompTIA Cybersecurity Analyst Certification exam.To reflect a modern approach to cybersecurity analysis, students will also be introduced to the responsible use of Generative Artificial Intelligence (Gen-AI) as a tool for handling and enhancing the tasks that need to be performed when identifying cybersecurity risks and threats, managing them and responding to them.
 

This course provides an innovative learning experience designed to empower students with the skills and confidence needed to secure today’s digital landscapes. Industry-curated lessons, practical scenarios and interactive content are aimed at developing proficiency in security and artificial intelligence principles. The role and application of AI in security environments is explored for the purpose of identifying threats and vulnerabilities, applying risk management techniques, utilizing security tools and technologies, interpreting and analysing security data and implementing appropriate solutions.

This course explores the concepts of Penetration testing. The ever-increasing need of organizations to protect themselves from security breaches and risks require them to invest heavily in understanding their vulnerabilities and design measures to counteract them. In order to protect themselves, organizations turn to the conducting of penetration testing. In this course, students will learn the concepts and methodologies related to pen testing. Students will develop their pen testing skills 
enabling them to identify information system vulnerabilities and design effective remediation for them. This course aligns to the objectives of the CompTIA PenTest+ certification exam.In an effort to provide students a modern approach to penetration testing, this course also introduces the responsible use of Generative Artificial Intelligence (Gen-AI) as a tool assisting in creating pen tests that effectively identify system vulnerabilities and help create appropriate protective defenses.The AI assisted activities are specifically focused on penetration testing as approached in the objectives of the CompTIA PenTest+ certification.

This course expands on the fundamental security concepts by teaching students the knowledge and skills in advanced security. Student will learn the concepts of risk management, enterprise security architecture, enterprise security operations, technical integration of enterprise security, research, development and collaboration. The course begins with an overview of governance and risk compliance where students will learn about the role and life cycle of risk management and risk 
management methods. Students will explore network infrastructure protection, software integration and testing and emerging technologies for secure configuration and system hardening. After exploring the concepts of cryptography, public key infrastructure and vulnerability management, the course will conclude with a review of technical controls and incident responses. This course aligns to the objectives of the CompTIA SecurityX certification.

To reflect a modern approach to the topics covered in this course, students are also introduced to the responsible use of Generative Artificial Intelligence (Gen-AI) as a tool for exploring advanced cybersecurity issues, enterprise risk management, the latest technologies and strategies for vulnerability management and incident response.

This course builds on the skills learned in the Student Success Strategies course or its equivalent. It provides information on how to use communication skills to make 
successful presentations to prospective employers, uncover the hidden job market, and identify employment opportunities. Students engage in self-assessment to identify transferable skills and learn how to effectively communicate these to employers. The course also introduces the use of artificial intelligence (AI) as a career support tool. Students apply AI to assist with resume and cover letter development, job searching, and interview preparation, while maintaining their own authentic voice and critically evaluating AI-generated content. Students may be videotaped during a mock interview and will participate in the analysis of their performance in the interview.

This program includes a practicum component which consists of 210 hours of work at a job site. The practicum work experience is a mandatory diploma requirement and the business organization does not pay for the services of the student during the practicum.