Format: Live instructor-led online training via Zoom / Microsoft Teams

Connected Devices and Networks Training Course

Course Overview

Connected Devices and Networks are the foundation of modern digital transformation, enabling seamless communication between Internet of Things (IoT), Smart Devices, Wireless Networks, Cloud Computing, Edge Computing, Artificial Intelligence (AI), 5G Networks, Industrial Automation, Smart Cities, Cyber-Physical Systems, and Enterprise Information Systems. This comprehensive Connected Devices and Networks Training Course equips participants with the technical knowledge and practical skills required to design, deploy, secure, manage, and optimize intelligent connected systems that support real-time communication, automation, remote monitoring, predictive analytics, and digital innovation. The course explores network architecture, IoT connectivity, communication protocols, embedded networking, cloud integration, edge computing, cybersecurity, network management, intelligent device interoperability, and emerging networking technologies. Participants will gain practical experience implementing scalable connected ecosystems that improve operational efficiency, business continuity, and digital service delivery.

The course provides extensive coverage of connected device architecture, wired and wireless networking technologies, TCP/IP networking, IPv6, Bluetooth Low Energy (BLE), Wi-Fi, Zigbee, LoRaWAN, NB-IoT, LTE-M, RFID, Near Field Communication (NFC), MQTT, CoAP, AMQP, cloud connectivity, edge gateways, network virtualization, software-defined networking (SDN), artificial intelligence for networking, network monitoring, and distributed device management. Participants will learn how to configure intelligent devices, establish secure communication channels, integrate cloud and edge platforms, optimize network performance, implement interoperability standards, and manage large-scale connected infrastructures. Emphasis is placed on reliability, scalability, resilience, cybersecurity, privacy protection, data integrity, energy efficiency, and compliance with international networking standards.

As organizations continue adopting Industry 4.0, smart manufacturing, intelligent transportation, healthcare monitoring, smart agriculture, digital utilities, autonomous systems, and smart city technologies, professionals with expertise in Connected Devices and Networks are increasingly valuable. This course introduces advanced concepts including 5G-enabled IoT, edge intelligence, network automation, digital twins, intelligent gateways, cloud-native networking, AI-powered network optimization, blockchain-enabled device authentication, predictive maintenance, and future networking technologies. Through practical laboratory exercises and real-world case studies, participants will develop the competencies needed to implement reliable, secure, scalable, and intelligent connected systems that accelerate organizational innovation and digital transformation.

Upon successful completion of this course, participants will possess the skills required to design, deploy, integrate, monitor, secure, troubleshoot, and optimize Connected Devices and Networks using globally recognized engineering standards and industry best practices. They will be capable of implementing enterprise-grade connected infrastructures that integrate IoT, cloud computing, artificial intelligence, cybersecurity, edge computing, and intelligent automation to support sustainable digital ecosystems across multiple industries.

Course Objectives

By the end of this course, participants will be able to:

1.     Understand Connected Devices and Network architectures and technologies.

2.     Design and implement IoT communication networks.

3.     Configure wired and wireless network infrastructures.

4.     Integrate connected devices with cloud and edge computing platforms.

5.     Implement secure communication protocols and cybersecurity controls.

6.     Deploy intelligent device management and monitoring systems.

7.     Optimize network performance, scalability, and reliability.

8.     Apply AI and automation to network operations.

9.     Troubleshoot and maintain connected network environments.

10.  Develop enterprise Connected Device and Network solutions for modern digital ecosystems.

Organizational Benefits

Organizations participating in this training will benefit by:

1.     Improving operational efficiency through connected digital infrastructure.

2.     Enhancing real-time monitoring and intelligent decision-making.

3.     Strengthening enterprise cybersecurity and device protection.

4.     Supporting Industry 4.0 and digital transformation initiatives.

5.     Improving communication between distributed devices and systems.

6.     Reducing operational costs through intelligent automation.

7.     Increasing scalability of enterprise IoT deployments.

8.     Building internal expertise in connected technologies.

9.     Enhancing business continuity through resilient network architectures.

10.  Driving innovation using intelligent connected ecosystems.

Target Participants

This course is suitable for:

·       Network Engineers

·       IoT Engineers

·       Telecommunications Engineers

·       Systems Administrators

·       Cloud Engineers

·       DevOps Engineers

·       Embedded Systems Engineers

·       Software Developers

·       Cybersecurity Professionals

·       Industrial Automation Engineers

·       Smart City Engineers

·       Infrastructure Architects

·       ICT Managers

·       Technology Consultants

·       Anyone interested in Connected Devices and Networks.

Course Outline

Module 1: Introduction to Connected Devices and Networks

·       Fundamentals of Connected Devices

·       IoT Networking Concepts

·       Digital Communication Systems

·       Connected Ecosystems

·       Industry Applications

·       Emerging Trends
General Case Study: Developing a connected infrastructure strategy for a smart enterprise.

Module 2: Network Architecture and Design

·       Network Topologies

·       TCP/IP Architecture

·       IPv4 and IPv6

·       Routing and Switching

·       Enterprise Network Design

·       Network Planning
General Case Study: Designing a scalable enterprise network for connected devices.

Module 3: Wired and Wireless Communication Technologies

·       Ethernet Networks

·       Wi-Fi Technologies

·       Bluetooth Low Energy (BLE)

·       Zigbee Networks

·       LoRaWAN

·       Cellular IoT Networks
General Case Study: Deploying wireless communication infrastructure for industrial IoT.

Module 4: IoT Communication Protocols

·       MQTT Protocol

·       CoAP Protocol

·       AMQP Messaging

·       HTTP/HTTPS

·       WebSocket Communication

·       Device Messaging Frameworks
General Case Study: Integrating IoT communication protocols into smart monitoring systems.

Module 5: Cloud and Edge Connectivity

·       Cloud Integration

·       Edge Gateways

·       Edge Computing

·       Hybrid Architectures

·       Device Synchronization

·       Distributed Computing
General Case Study: Connecting edge devices with cloud-based analytics platforms.

Module 6: Intelligent Device Management

·       Device Provisioning

·       Remote Monitoring

·       Firmware Management

·       Configuration Management

·       Asset Tracking

·       Lifecycle Management
General Case Study: Managing thousands of connected devices within an enterprise network.

Module 7: Cybersecurity for Connected Networks

·       Device Authentication

·       Secure Communication

·       Encryption Technologies

·       Identity Management

·       Threat Detection

·       Security Monitoring
General Case Study: Protecting enterprise IoT networks from cyber threats.

Module 8: Artificial Intelligence and Network Automation

·       AI for Networking

·       Intelligent Traffic Management

·       Predictive Analytics

·       Automated Network Operations

·       Machine Learning Applications

·       Network Optimization
General Case Study: Implementing AI-driven optimization for enterprise communication networks.

Module 9: Performance Optimization and Monitoring

·       Network Monitoring

·       Capacity Planning

·       Load Balancing

·       Fault Management

·       High Availability

·       Performance Tuning
General Case Study: Optimizing network performance for mission-critical connected devices.

Module 10: Industrial and Smart Infrastructure Applications

·       Smart Manufacturing

·       Smart Healthcare

·       Smart Agriculture

·       Smart Energy

·       Smart Transportation

·       Smart Buildings
General Case Study: Designing connected infrastructure for industrial automation and smart facilities.

Module 11: Emerging Networking Technologies

·       5G Networks

·       Network Function Virtualization (NFV)

·       Software Defined Networking (SDN)

·       Blockchain Integration

·       Digital Twins

·       Future Connected Systems
General Case Study: Evaluating emerging technologies for next-generation connected enterprises.

Module 12: Connected Devices and Networks Capstone Project

·       Requirements Analysis

·       Network Architecture Design

·       Device Integration

·       Security Implementation

·       Performance Evaluation

·       Final Project Presentation
General Case Study: Designing, deploying, integrating, securing, monitoring, optimizing, and presenting a complete Connected Devices and Networks solution for an intelligent enterprise supporting IoT, cloud computing, edge computing, artificial intelligence, and secure digital communications.

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call +254712260031.

14.  Website: Visit www.fdc-k.org for more information.