Advanced Embedded Systems Design & Iot Integration: Build Intelligent Connected Devices

Introduction:

Advanced Embedded Systems Design and IoT Integration equips engineers with the specialized knowledge and skills to develop sophisticated embedded systems for IoT applications. This course focuses on designing embedded systems for sensor networks, implementing edge computing, and integrating devices with cloud platforms. Participants will learn how to optimize embedded systems for low power consumption, real-time performance, and secure communication. This course bridges the gap between traditional embedded systems design and the rapidly evolving world of IoT, empowering professionals to create intelligent and connected devices.

Target Audience:

This course is designed for embedded systems engineers, IoT developers, and hardware designers involved in the development of IoT devices and applications, including:

• Embedded Systems Engineers
• IoT Developers
• Hardware Designers
• Firmware Engineers
• Systems Architects
• Network Engineers
• Researchers in Embedded Systems and IoT

Course Objectives:

Upon completion of this Advanced Embedded Systems Design and IoT Integration course, participants will be able to:

• Understand the principles and applications of embedded systems in IoT.
• Design and implement embedded systems for sensor networks.
• Utilize edge computing techniques for data processing and analysis.
• Integrate embedded systems with cloud platforms for data management and visualization.
• Implement low-power design techniques for energy-efficient IoT devices.
• Understand the role of communication protocols and network architectures in IoT.
• Implement security measures for embedded systems and IoT devices.
• Utilize real-time operating systems (RTOS) for embedded systems development.
• Understand the challenges and opportunities of developing IoT applications.
• Utilize embedded systems development tools and platforms effectively.
• Implement strategies for data acquisition, processing, and transmission in IoT devices.
• Enhance their ability to design and implement advanced embedded systems for IoT.
• Improve their organization's IoT development and deployment capabilities.
• Contribute to the development of innovative and impactful IoT solutions.
• Stay up-to-date with the latest trends and best practices in embedded systems and IoT.
• Become a more knowledgeable and effective embedded systems and IoT developer.
• Understand ethical considerations in IoT device development and deployment.
• Learn how to use embedded systems development platforms and IoT cloud services efficiently.

Duration

5 Days

Course Content

Module 1: Foundations of Embedded Systems and IoT

• Overview of embedded systems and their role in IoT.
• Understanding IoT architectures and communication models.
• Introduction to sensor technologies and data acquisition.
• Review of relevant embedded systems and IoT standards.
• Setting the stage for advanced embedded systems design for IoT.

Module 2: Embedded Systems Hardware and Software Design

• Selecting microcontrollers and embedded processors for IoT applications.
• Designing embedded system hardware for low power consumption.
• Understanding memory management and peripheral interfaces.
• Implementing firmware development and debugging techniques.
• Understanding hardware/software co-design.

Module 3: Sensor Networks and Data Acquisition

• Designing and implementing sensor networks for IoT applications.
• Understanding sensor data acquisition and signal processing.
• Implementing data calibration and filtering techniques.
• Utilizing wireless sensor network protocols (Zigbee, LoRaWAN).
• Understanding sensor fusion.

Module 4: Real-Time Operating Systems (RTOS) for IoT

• Understanding the principles and benefits of RTOS in embedded systems.
• Implementing task scheduling, synchronization, and inter-process communication.
• Selecting and configuring RTOS for IoT applications.
• Implementing real-time data processing and control.
• Understanding memory management within an RTOS.

Module 5: Edge Computing and Data Processing

• Understanding the principles and benefits of edge computing in IoT.
• Implementing data processing and analysis at the edge.
• Utilizing edge computing platforms and frameworks.
• Implementing machine learning algorithms for edge intelligence.
• Understanding the balance between edge and cloud processing.

Module 6: IoT Communication Protocols and Network Architectures

• Understanding IoT communication protocols (MQTT, CoAP, HTTP).
• Implementing network architectures for IoT applications (star, mesh, gateway).
• Utilizing cellular and Wi-Fi connectivity for IoT devices.
• Addressing network latency and bandwidth considerations.
• Understanding network security protocols.

Module 7: Cloud Integration and Data Management

• Integrating embedded systems with cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT).
• Implementing data storage and management in the cloud.
• Utilizing cloud services for data visualization and analytics.
• Implementing device management and remote firmware updates.
• Understanding cloud security.

Module 8: Security in Embedded Systems and IoT

• Understanding security threats and vulnerabilities in IoT devices.
• Implementing security measures for embedded systems (secure boot, encryption).
• Utilizing security protocols for data communication and authentication.
• Addressing device identity and access management.
• Understanding the importance of secure firmware updates.

Module 9: IoT Application Development and Implementation

• Developing IoT applications for various domains (smart homes, industrial IoT, healthcare).
• Implementing data analytics and machine learning for IoT applications.
• Utilizing IoT platforms for application development and deployment.
• Addressing the challenges of scalability and interoperability.
• Understanding the importance of user experience in IoT design.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world.

The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.