Cloud Computing Foundations provides a comprehensive introduction to cloud technologies, with a focus on the leading platforms: AWS, Azure, and Google Cloud. Learners will build foundational knowledge of service and deployment models, understand cloud architecture, and explore key features such as scalability, cost optimization, and security. The course blends theory with applied learning, enabling participants to compare platform offerings, evaluate cloud readiness, and design basic migration and deployment plans. Ideal for those entering the cloud space or enhancing their IT capabilities, this course equips learners to make informed decisions and contribute effectively to cloud-based projects in modern enterprises.

This course offers a practical introduction to systems engineering, automation, and infrastructure management. Learners will explore core concepts such as the systems development life cycle (SDLC), operating systems, and containerization. Through hands-on activities, students will learn to use tools like Python and Bash for scripting, and Ansible for automated system provisioning. The course also covers troubleshooting techniques, performance analysis, and log diagnostics. By evaluating system design options and understanding hardware-software interactions, learners will gain the skills to create effective system design documents and support the deployment of automated infrastructure solutions—preparing them for technical roles in IT operations and systems engineering.

This course provides a hands-on introduction to computer networking, covering foundational concepts, protocols, and modern network design principles. Learners will explore the OSI model, network components, IPv4/IPv6 addressing, subnetting, and software-defined networking (SDN). Using tools like Cisco Packet Tracer and Wireshark, students will learn to evaluate simulated network configurations, analyze traffic patterns, and troubleshoot connectivity issues. The course also examines network topologies and performance metrics to support informed technology choices. By the end, learners will design a network infrastructure for a small-to-medium enterprise (SME) and develop an expansion plan—building real-world skills for roles in IT networking and infrastructure support

This course offers a practical introduction to cybersecurity, equipping learners with the foundational knowledge and skills to help in the protection of digital systems and data. Students will explore key concepts such as the CIA Triad, cyber threats, risk assessment, and compliance frameworks including GDPR, NIST, and ISO 31000. Through hands-on exercises, learners will apply security controls, assess vulnerabilities, and simulate real-world incidents to determine root causes. The course also emphasizes ethical responsibilities, stakeholder communication, and security governance. By the end, participants will develop a basic incident response plan and design a security awareness program—preparing them for entry-level roles in cybersecurity and risk management.

This advanced course equips learners with in-demand skills in cloud-native computing, focusing on containerization and orchestration technologies. Students will explore key tools such as Docker, Kubernetes, and Helm, and learn how to design, deploy, and manage scalable, resilient applications in containerized environments. The course covers cloud-native architecture principles, service mesh concepts, and security best practices. Through hands-on learning, learners will containerize applications, orchestrate deployments, and analyze system performance. By the end, students will justify design choices for specific use cases and deploy a fully containerized application on Kubernetes—preparing them for roles in DevOps, cloud infrastructure, and platform engineering.

This course provides a comprehensive introduction to network security, focusing on designing and managing secure network architecture. Learners will explore foundational principles, common threats, and core technologies such as firewalls, IDS/IPS, VLANs, VPNs, and network segmentation. Using tools like pfSense, students will configure security devices, enforce firewall policies, and implement protocols like SSL/TLS and IPsec. Through real-world scenarios, they will analyze traffic, assess security posture, and interpret outputs from security tools. By the end, learners will design a secure network architecture solution and develop a security policy—preparing them for careers in cybersecurity, network engineering, and infrastructure defence.

This course introduces learners to DevOps and DevSecOps methodologies, with a focus on integrating security into every stage of the software development lifecycle. Students will work with tools like Jenkins, GitHub Actions, and OWASP frameworks to build automated, secure CI/CD pipelines. Key topics include static and dynamic code analysis, security automation, and vulnerability detection. Learners will apply DevSecOps practices to real-world scenarios, analyze security testing results, and evaluate secure development workflows. By the end of the course, students will design a secure pipeline and develop an organizational plan to implement DevSecOps—preparing them for roles in secure software engineering and DevOps.

Industry Capstone Project for IT and Infrastructure

Catalogue Description: This learner-led capstone project will challenge participants to synthesize their knowledge and skills from across their learnings in this certificate on the IT infrastructure domain. Learners will collaborate to design, implement, and manage solutions to complex, real-world infrastructure challenges given in the capstone. Projects may involve tasks such as optimizing cloud deployments, automating system configurations, designing and implementing secure networks, or integrating various infrastructure components. Participants will refine their project management, problem-solving, and communication skills, demonstrating their readiness to tackle multifaceted IT projects in a professional setting.