Certified Internet of Things Professional (CIoTP) Course
Course Description
IoT solutions help to connect massive of IoT devices by reducing the complexity and thus increase the operational effectivity and create new organizational value. Other than the common IoT concepts which comprise of hardware, software, and middleware, we must also take into consideration of IoT cloud and security.
Participants will acquire knowledge on the end-to-end concepts for IoT. It deals with the various principle, concepts, techniques, and tools used in IoT which comprise various hardware, software, middleware, communication, IoT cloud, and IoT Security. In addition, this course will also cover how cloud computing augments the growth of IoT and various IoT security including hardware security, network security, cloud security, and data security.
Course Objective
The objective of this course is to equip participants with various principles, concepts, techniques, and tools used in IoT which comprise various hardware, software, middleware, communication, IoT programming, IoT cloud, and IoT Security. Participants will be equipped with an industry-relevant skillset of working with popular hardware (Arduino Uno, NodeMCU, and Raspberry Pi), send data to IoT platforms with various communication protocols, design and build IoT projects. In addition, participants will be equipped with the knowledge of IoT cloud and security. This training also provided different types of IoT real-life case studies.
Skills Acquired
Participants will be able to analyse real-life applications by implementing electric circuits using various hardware including Arduino Uno, NodeMCU, and Raspberry Pi. In addition, participants will be able to acquire Arduino Uno and Python programming skills to interact with the sensor and actuator. Participants will be equipped with the practical end-to-end IoT to implement MQTT communication protocol including security consideration.
Course Duration
32 hrs (4 days) inclusive of training and exam
Pre-Requisites
Participants are recommended to have preferably 1 year of experience in software development, business domain or data/business analysis. However, if you do not have any experiences, you can still consider taking up the course and we will advise / assist you accordingly.
Download Brochure
Why should you upskill in IoT?
The Internet of Things (IoT) has begun to grow significantly as consumers, businesses and governments recognize the benefit of connecting IoT devices to the internet. We are entering the era of the connected business model. Potentially, any asset, person, product, process or source of data can be connected. All this connectedness has the potential to radically change business models and the competitive landscape. IoT will transform and it requires rethinking of how we compute today.
Course Outline
- Unit 1: Overview of IoT
- Unit 2: Hardware Components & Elements of IoT
- Unit 3: Middleware for IoT
- Unit 4: Machine Learning for intelligent IoT
- Unit 5: Data Science for intelligent IoT
- Unit 6: Analytic Engine for IoT
- Unit 7: Big Data Platform for IoT
- Unit 8: API Design Considerations for IoT
- Unit 9: Management of IoT
Course Outcome
- Acquire knowledge on IoT building block and architecture
- Acquire the principles of mechanical engineering including interaction between electronic and mechanical components
- Acquire knowledge in coding and programming with Arduino and python
- Acquire knowledge on the mobile integration with remote operation and monitoring
- Acquire knowledge on communication protocol with MQTT, AMQP, XMPP and DDS
- Ability to integrate IoT data from different sensors and differentiate the transmission protocol in each industry
- Acquire knowledge on the important of 5G in IoT
- Acquire knowledge on the important of cloud computing in IoT.
- Acquire knowledge on IoT Security
- Get hands-on experience in using Arduino, MQTT, Raspberry Pi, Blynk