Internet of Things (IoT) & Edge Computing Foundations

The Internet of Things (IoT) & Edge Computing Foundations program is a comprehensive 5-day enterprise training course designed to help corporate professionals, engineers, and decision-makers understand, design, and deploy IoT and Edge Computing solutions at scale. With the convergence of connected devices, AI, and 5G networks, IoT and Edge Computing are transforming industries—from manufacturing and healthcare to logistics and smart cities. This course provides a business-to-technical perspective on IoT architectures, edge ecosystems, and real-time analytics, preparing participants to architect and manage modern, data-driven enterprise ecosystems.

Objectives of the Training

Understand the key components and architecture of IoT and Edge Computing ecosystems.
Learn about sensors, actuators, gateways, and communication protocols (MQTT, CoAP, LoRa, etc.).
Explore cloud-to-edge data flow, device management, and distributed analytics.
Gain practical insights into edge AI and real-time decision-making frameworks.
Understand IoT security, scalability, and interoperability challenges.
Apply IoT and Edge strategies to enterprise use cases in manufacturing, logistics, and retail.

Prerequisites

Basic understanding of networking concepts and cloud computing.
Familiarity with data analytics and system architecture.
Programming knowledge is not mandatory but helpful.
Curiosity about connected devices, automation, and digital transformation trends.

What You Will Learn

Core concepts of IoT architecture, devices, and communication protocols.
How to build and manage IoT systems with cloud and edge integration.
Setting up gateways, sensors, and IoT data pipelines.
Understanding edge AI and deploying intelligence closer to data sources.
IoT and Edge Computing use cases, deployment strategies, and challenges.
Industry best practices for security, compliance, and scalability.

Target Audience

This program is ideal for IoT Developers, Cloud Engineers, Solution Architects, Business Analysts, Product Managers, and Enterprise IT Leaders. It also benefits operations teams, digital transformation consultants, and professionals responsible for implementing or scaling IoT-based enterprise solutions.

Detailed 5-Day Curriculum

Day 1 – IoT Foundations & Ecosystem Overview (6 Hours)

Session 1: Understanding IoT – Evolution, Ecosystem, and Business Applications.
Session 2: IoT Architecture Layers – Devices, Gateways, Networks, Cloud, and Applications.
Session 3: Sensors, Actuators, and Connectivity Protocols (Wi-Fi, Zigbee, LoRaWAN, MQTT).
Hands-on: Building a Simple IoT Architecture Diagram for a Real-World Scenario.

Day 2 – IoT Communication, Device Management & Data Flow (6 Hours)

Session 1: Edge Devices and Gateways – Role, Function, and Configuration.
Session 2: IoT Communication Models – Publish/Subscribe, REST APIs, and CoAP.
Session 3: Data Management – Edge-to-Cloud Communication and Streaming Pipelines.
Workshop: Simulating Data Flow from IoT Devices to Cloud Platforms (AWS IoT / Azure IoT).

Day 3 – Edge Computing Concepts & Architectures (6 Hours)

Session 1: Introduction to Edge Computing – Definition, Drivers, and Benefits.
Session 2: Edge-to-Cloud Integration and Distributed Intelligence Models.
Session 3: Edge AI – Running ML Models on Edge Devices using TensorFlow Lite / NVIDIA Jetson.
Hands-on: Deploying a Simple Predictive Model on Edge Hardware.

Day 4 – IoT & Edge Security, Scalability, and Integration (6 Hours)

Session 1: IoT Security Principles – Device Authentication, Encryption, and Data Protection.
Session 2: IoT Governance, Standards, and Regulatory Compliance (GDPR, NIST, ISO).
Session 3: Scaling IoT Architectures for Enterprise Deployment.
Workshop: Designing a Secure and Scalable IoT Deployment Strategy for Enterprises.

Day 5 – Industry Applications & Capstone Project (6 Hours)

Session 1: IoT Use Cases – Smart Manufacturing, Retail, Logistics, and Energy.
Session 2: Edge-Oriented Use Cases – Real-Time Monitoring, Predictive Maintenance, and AR/VR Integration.
Session 3: Capstone Project – Architecting an IoT & Edge Solution for a Corporate Use Case.
Panel Discussion: The Future of IoT and Edge in AI, 5G, and Industry 5.0.

Capstone Project

Participants will design an enterprise IoT and Edge solution integrating sensor networks, edge analytics, and cloud infrastructure. The project will focus on data collection, real-time analysis, and predictive insights using edge-based AI models. This exercise demonstrates the participant’s ability to architect, secure, and scale IoT systems within an enterprise environment.

Future Trends in IoT & Edge Computing

The future of IoT and Edge Computing is defined by convergence with Artificial Intelligence (AI), 5G, and Quantum Computing. As organizations adopt Industry 5.0 principles, edge computing will play a pivotal role in enabling intelligent automation, sustainability, and human-machine collaboration. Emerging trends include Federated Edge AI, Zero-Trust IoT Security, and Digital Twin ecosystems. Enterprises investing in IoT and Edge technologies today will gain competitive advantages through faster insights, reduced latency, and improved operational resilience.