Specialist Diploma in Edge Intelligence and Embedded Systems

About the Course

The Specialist Diploma in Edge Intelligence Embedded Systems is a course for engineers to develop expertise in the design and development of embedded products and systems. It is designed for those who are involved in the design, development and testing of embedded products and IoT systems.

This course will help learners build their skillsets in developing IoT device and web applications from embedded platform firmware and OS integration to connected systems. It is a synthesis-based course to equip engineers with skills in critical areas such as:

Embedded systems development (ARM & ESP32)
Operating systems integration (FreeRTOS)
Intelligent edge device development (Machine learning models on embedded platforms such as ESP32)
Data visualization (Node-RED & Python)
Edge security implementations

Students will be awarded a Post-Diploma Certificate after successful completion of 5 modules in each certificate. Student will be awarded with a Specialist Diploma after successful completion of 2 Post-Diploma Certificates.

What You'll Study

Post-Diploma Certificate in Embedded Software Design & Applications

Post-Diploma Certificate in Embedded Software Design & Applications focuses on the integration of embedded operating systems and the development of associated firmware for embedded systems

Module 1: Embedded Processor & Programming [30 hours]

This module focuses on the knowledge of ARM technology and the skillsets to develop embedded software on ARM processors. The module covers the ARM development tools, processor architecture, instruction set, memory protection unit, interrupt handling and exception.

Module 2: Embedded System Development [30 hours]

This module covers embedded system software development on ARM-based processor. It focuses on using various communication protocols to interface to different on-chip and platform peripherals to develop embedded software applications. The knowledge acquired in this module is essential towards the design and development of high performance, low-powered intelligent products and systems using ARM-based processors.

Module 3: Embedded OS Platform Application [30 hours]

This module enables engineers to rapidly implement embedded operating systems into intelligent products and systems to meet short time-to-market requirements. It focuses on the expertise of integrating and customizing embedded operating systems into embedded systems. This module will also cover the practical approach of developing applications on open source hardware platform supporting embedded operating system.

Module 4: Connected System Software Development [30 hours]

This module focuses on the development of a GUI based software application that interfaces to embedded systems. It covers GUI design, multi-threading implementation, real-time charting and remote device communication. The knowledge acquired in this module is essential in developing software solutions for a smart connected system.

Module 5: Embedded Software Project [30 hours]

This module develops the expertise in software design and development needed to create robust intelligent products and systems for demanding applications. The participants will acquire hands-on knowledge of embedded software design in methodologies, optimization and real-time design techniques.

Post-Diploma Certificate in Intelligent Edge Systems Development

Post-Diploma Certificate in Intelligent Edge Systems Development focuses on development of a smart connected systems with intelligent and secured edge devices targeting at IoT systems and applications

Module 1: IoT Technology & Applications [30 hours]

This module covers the design and implementation of smart connected systems. It develops knowledge and skills required in building and deploying an IoT solution. Topics include smart sensor and devices, sensor and device network, edge gateway that links to the cloud for processing and storage. The skillsets and knowledge acquired will enable students to deploy connected systems, including IoT end nodes that form an essential part in the architecture of the Internet of Things.

Module 2: Intelligent Edge Device Development [30 hours]

This module covers artificial intelligence (AI) and deep learning in embedded devices at the edge. It covers the concepts behind artificial intelligence and deep learning, AI related tools and libraries, cleaning and labelling of sensor data, creation of neural network model and training them with the sensor data, and the implementation and deployment of the deep learning model on a microcontroller.

Module 3: Data Visualization & Analytics [30 hours]

This module introduces graphical representation of information and data. It introduces methods, ideas and libraries that enables the building of graphs and interactivity on a display device, such as asynchronous programming, flow-based development, data-driven diagrams with JavaScript, and widget-based dashboard. The automation solution allows the data from multiple devices to be monitored and analysed more professionally.

Module 4: Edge Systems Security [30 hours]

This module introduces students to the fundamentals of software and hardware security. It examines the potential dangers, vulnerabilities in relation to data transfers between edge devices to the cloud. The skills and knowledge acquired in both hardware and software security will enable students to increase the overall security of connected systems, including IoT end nodes and edge gateways.

Module 5: IoT Project [30 hours]

In this module, students will have the opportunity to develop solutions that includes edge devices capable of performing data collection and intelligent processing, and backend data visualization. The participants will acquire hands-on knowledge of connected systems or IoT systems design and implementation.

Specialist Diploma in Edge Intelligence and Embedded Systems

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