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Course Details
Course Details
What You'll Learn
Topic 1: Overview of Internet of Things (IoT)
Topic 2: Collect and Post Data to Cloud
Topic 3: Read Data and Remote Control Devices from Cloud
Topic 4: IoT Data Analytics and Visualization
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic programming, electronics and computer use 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. Confirm the board, USB data cable, sensors and breadboard for the practical exercises with the trainer. Where the syllabus uses ESP8266 or IoTFlow, confirm device and platform access before class.
Job Roles
Job Roles
- IoT Product Manager
- Innovation Manager
- IoT Solutions Architect
- Smart City Planner
- R&D Specialist
- Business Strategist
- Digital Transformation Lead
- Manufacturing Process Manager
- IoT Data Analyst
- Connected Devices Engineer
- Operations Manager (IoT-focused)
- Smart Grid Specialist
- Home Automation Developer
- Supply Chain Innovation Manager
- Industrial Automation Strategist
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.
The IoT platform learners connect to on this course is part of Dr. Alfred Ang's own body of work, which makes this one of the most directly grounded courses Dr. Ang teaches. 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 record that range. Dr. Ang built a low-code, self-hosted IoT platform powered by n8n that connects Arduino, ESP32 and Raspberry Pi boards over MQTT and HTTP, lets users control devices in real time from web and mobile through virtual pins, and automates behaviour with drag-and-drop workflows. Native companion apps for IoTFlow on iOS and Android add live dashboard widgets, device controls, telemetry charts, n8n automation triggers, alerts and a demo mode. The agent side draws on a wide set of n8n projects: an inventory forecasting agent running on a local language model through Ollama, a stock-analysis agent that reasons over live data before recommending action, retrieval-augmented chatbots, and an HR portal that keeps people in the loop for approvals. Combining sensor data with agents that decide and act is therefore not a speculative idea here but a natural extension of systems Dr. Ang already runs and maintains.
The course follows a complete build from bare board to autonomous system. Learners are introduced to agentic AI and IoT, set up the ESP8266, explore the IoTFlow platform at https://iot.tertiaryinfotech.com/ and connect their device to it. The second topic covers wiring sensors to the ESP8266, reading and publishing sensor data, controlling devices and actuators, and streaming data to IoTFlow, so that learners see live readings appear on a dashboard they can act on. AI agents arrive in the third topic: connecting agents to IoTFlow data, making decisions and triggering actions, and building an autonomous agent loop that senses, reasons and responds without a person pressing a button. The final topic brings everything together in an end-to-end agentic IoT project, coordinating multiple devices and agents, securing and monitoring the solution, and deploying and scaling it with IoTFlow. Because Dr. Ang knows the platform from the inside, learners get straight answers on how data flows through it, why a device drops off, and how to design automations that fail safely. Teaching is hands-on from the first hour, with real hardware on the bench, short explanations and plenty of time to experiment. Troubleshooting is treated as part of the learning, since loose wiring, unstable Wi-Fi and noisy sensor readings are exactly what real deployments face. Makers, engineers, facilities teams and educators all leave with a working sensor-to-agent system and the know-how to extend it. To explore the IoT platform, companion apps and agent projects behind this course, visit Dr. Ang's portfolio at https://github.com/alfredang
Review
Customer Reviews (6)
- Clear and easy to follow Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 5/8/2026)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 - Very satisfied Review by Course Participant/Trainee
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Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 6/12/2025)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 - Exceeded my expectations Review by Course Participant/Trainee
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The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 9/8/2024)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 - Superb training 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 8/19/2024)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 - Fantastic experience 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 7/28/2024)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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