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Course Details
Course Details
What You'll Learn
Topic 1: Docker Fundamentals
Topic 2: Docker Compose
Topic 3: Kubernetes Fundamentals
Topic 4: Advanced Kubernetes Concepts
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic command-line, Linux and networking concepts will help you follow the exercises.
Software Requirement
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Also prepare the tools needed for the practical exercises:
Confirm the version, account permissions and any API usage budget with the trainer before class.
Hardware Requirement
Bring your own laptop and power adaptor with reliable internet access. A webcam, microphone and headset are needed for live online sessions. Ensure your device can run the course software and that you have permission to install it. Ensure hardware virtualisation is enabled and the laptop meets Docker Desktop’s system requirements.
Job Roles
Job Roles
- DevOps Engineer
- Cloud Solutions Architect
- Software Developer
- Infrastructure Engineer
- Site Reliability Engineer (SRE)
- Systems Administrator
- IT Operations Specialist
- Platform Engineer
- Microservices Developer
- Release Manager
- Network Administrator (focusing on cloud-native applications)
- Continuous Deployment Specialist
- Backend Developer
- Cloud Security Specialist
- Container Orchestration Manager
Trainers
Trainers
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
Containers are not an abstract topic for Dr. Alfred Ang; they are how the production systems under Dr. Ang's care are built, shipped and kept running. A full-stack AI developer, Agentic AI solution architect and corporate trainer, Dr. Ang is CTO of Tertiary Infotech Academy Pte Ltd in Singapore, the training organisation behind Tertiary Courses, and builds intelligent agents and business platforms end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub document that work. The course-registration platform that runs the Tertiary Courses sites in Singapore, Malaysia and Ghana is packaged with Docker and deployed through Coolify, with one codebase serving every partner site and each one redeploying automatically when new code lands on the main branch. Another project, a training environment management platform, launches Docker-based WordPress, Ubuntu and Kali Linux labs inside the browser, with role-based access, on-demand container start and stop, and idle auto-shutdown to keep running costs in check. Dr. Ang has also written reusable Claude Code skills, including one that pushes images to Docker Hub, and set up pipelines that build, sign and submit mobile apps on every commit. A video-production pipeline triggered by webhooks, which researches, scripts, renders and publishes without manual steps, shows the same automation mindset. Much of this was developed alongside AI coding assistants, which is why the course pairs Docker with Cursor, GitHub Copilot and Claude rather than treating them as separate subjects.
The course follows the path a real deployment takes. Learners set up Docker alongside an AI coding assistant, run a first container, and get comfortable with images and the Docker CLI before asking AI to draft Dockerfiles, then building and tagging images, managing volumes and data, and wiring containers together over networks. Docker Compose comes next: defining multi-container stacks with AI help, handling environment configuration and secrets properly, and using AI to explain and debug Compose files that refuse to start. The final topic covers building a CI/CD pipeline, deploying containers to the cloud, monitoring, logging and security, and optimising and scaling once real traffic arrives. Throughout, Dr. Ang draws on the realities of running containerised sites in production: keeping build contexts lean, keeping secrets out of images, and making sure database changes succeed before a new container is allowed to serve users. Those lessons make the case for reading AI-generated configuration carefully rather than pasting it in blindly, and for asking the assistant to explain every line it proposes. Sessions are hands-on, with short explanations followed by guided labs, and learners are encouraged to bring a small application of their own to containerise. By the end, participants can take a project from a laptop to a running, monitored deployment and know which questions to put to an AI assistant at each step of the journey. Explore the Docker-based projects behind this course in Dr. Ang's portfolio at https://github.com/alfredang
Review
Customer Reviews (6)
- Very informative Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/26/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Excellent course Review by Course Participant/Trainee
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Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 5/18/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Great learning experience Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 4/5/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Exceeded my expectations Review by Course Participant/Trainee
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Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 8/25/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very useful course Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 2/3/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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