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IoT for Industry 4.0: Cloud, Edge AI & Smart Systems

Name: IoT for Industry 4.0: Cloud, Edge AI & Smart Systems
Rating: 4.4 (873 reviews)

Learn IoT Architecture, Cloud & AI Integration through Hands-On Projects and Real-World Examples

Bestseller

Created byRajesh Sinha

Last updated 6/2026

English

What you'll learn

Course is crafted by industry experts with over 25 years of experience and Includes deep industry insights with practical use cases.
You’ll gain multiple skills to become a well-rounded software professional with a deep understanding of technologies, their applications, and interdependencies.
The program imparts practical skills to design, implement, and manage IoT solutions, optimizing operations, enhancing analytics, and driving product innovation
Content includes - Lectures, Demo, Use case, and Code Walkthrough Videos. Content copy, Step by step practice guide & sample code, Quizzes & Assignments
2 guided project and 1 capstone project incuding complete guidance on solution design and approach

Course content

18 sections • 108 lectures • 21h 17m total length

IoT-Getting started3:11
Getting started with Internet of Things
IoT-Basics to Advanced -Course Outline6:43
How to get best value from this course4:18

00-IoT Basics and Architecture - Agenda3:21
Objective: This module equips you with a solid understanding of the fundamental building blocks of a typical IoT solution and explores various components of IoT architectures.
Key Topics:
IoT Basics and Architecture
IoT Applications and motivations
IoT Architecture and Challenges
IoT Multilayered Architecture with Cloud Edge and Fog
IoT vs Traditional IT Systems
IoT Data Lifecycle & Architectural Trade-offs
IOT Use Case: Anatomy of a simple smart device
IoT Case Study: Smart Asset Tracking & Management System
IoT Case Study: Smart City- Singapore
Hands On: Communicating with MQTT Broker & Python
By the end of this module, you'll have a comprehensive foundation in IoT, empowering you to tackle future challenges and projects with confidence!
01-IoT Basics and architecture17:10
02-IoT Applications and motivations9:23
03-IoTArchitecture and Challeges15:54
04-IoT Multilayered Architecture15:59
05-IoT vs Traditional IT Systems10:28
06-IoT Data Lifecycle & Architectural Trade-offs7:07
IoT Use Case – Anatomy of smart Device8:10
oT USe Cases - Asset Tracking evolution13:32
IoT USe Cases - Modern Asset Tracking - IoT, AI & Blockchain11:46
IoT Use Cases - Smart City Singapore13:13
Quiz - IoT Fundamentals, architecture, challenges
Empowering Patient Care through Innovative Technology
Additional Excercise with Device Hardware (Optional)0:17

2.1 IoT Sensors and Actuators8:25
Overview: In this module, we will delve into the intricate relationships between IoT devices, cloud services, and edge computing.
1. Devices - Discover the various aspects of sensors, actuators, and IoT devices, their functionalities, and how they contribute to the IoT ecosystem.
3. Cloud & Edge Computing- Learn about the critical roles of cloud and edge computing, examining their advantages and how they work together to optimize IoT solutions.
4. Hands-On Experience - Put your knowledge into practice with hands-on exercises focusing on advanced MQTT configuration and working with Python Device Simulator (developed in the previous module), MQTT, and MongoDB.
By the end of this module, you’ll gain a comprehensive understanding of IoT architectural components, enhancing your ability to design and implement robust IoT solutions!
2.2-IoT Thing-Devices11:28
2.3-IoT Cloud and Edge14:27
2.4-Case Study9:00
2.5-Hands on Practice 1-MQTT-Subscriber-MongoDB15:00
2.6-Hands on 2-MQTT Advanced Config12:52
2.7-Hands on 3-mongodb analytics18:31
Quiz - Sensor, Actuators & Devices
Innovating Patient Care through Edge Device Technology

3.1-IoT Networking Requirements12:25
This module delves into the critical aspects of Internet of Things (IoT) networking, exploring the foundational requirements, essential elements, and the diverse protocol landscape that supports IoT applications. You will gain insights into how these protocols enable seamless communication and data exchange in IoT ecosystems.
Key Topics Covered:
IoT Networking Requirements: Understand the fundamental requirements for effective IoT networking, including scalability, reliability, low power consumption, and security. This section will highlight the unique challenges faced in IoT environments.
IoT Networking Elements & Protocol Landscape: Investigate the wide array of networking elements and protocols used in IoT, including communication, transport, and application protocols. This section will provide a comprehensive view of how different protocols address specific IoT needs.
Comparison of Various Protocols: Conduct a comparative analysis of key IoT protocols, including MQTT, CoAP, HTTP, and others. Students will learn the strengths and weaknesses of each protocol, enabling them to make informed choices for their IoT projects.
By the end of this module, you will have a solid understanding of IoT networking fundamentals and protocols, equipping you with the knowledge and skills necessary to design and implement effective IoT solutions.
3.2-IoT Networking Elements7:49
3.3-IoT Networking Protocol Landscape14:47
3.4-IoT Networking -MQTT10:50
3.5 IoT Case Studies24:17
3.6-Hands on - Demo-node-red-117:42
3.6-Hands on - Demo-node-red-224:43
3.6-Hands on - Demo-node-red-319:19
Quiz- IoT Networking Protocol and application
Enhancing Patient Care with Node-RED

5.1 IoT Stream Processing-part 122:26
In this module, learners will gain hands-on experience in stream processing by leveraging AWS IoT Core and Amazon Kinesis. The key learning objectives are:
Understand the Basics of Stream Processing: Learn the fundamentals of stream processing and real-time data ingestion, focusing on how IoT devices generate continuous data streams and how this data can be processed efficiently in real time.

Set Up and Configure AWS IoT Core: Gain expertise in setting up AWS IoT Core to securely connect IoT devices to the cloud, manage devices, and send data to AWS services for processing.
Ingest IoT Data Using Amazon Kinesis: Learn to use Amazon Kinesis Stream to capture and process real-time data streams from IoT devices.
Process and Analyze Data Streams: Develop skills in processing the data streams from Kinesis for downstream applications.
Ingest processed data to AWS Dynamo DB
By the end of this module, learners will have a solid understanding of how to build end-to-end stream processing solutions using AWS IoT Core and Kinesis, enabling real-time insights and actions from IoT data.
5.1 IoT Stream Processing-part 213:58
5.2 IoT Stream Processing-Hands on Practice Demo - part 116:06
5.2 IoT Stream Processing-Hands on Practice Demo - part 210:56
Quiz - IoT Cloud Stream Processing with AWS IoT Core - Kinesis -DynamoDB
5. Assignment – AWS IoT Core-DynamoDB – Kinesis

Requirements

This fast-paced, intensive course covers a wide range of tools and concepts. Participants should have a basic working knowledge of Python (or another programming language), databases, and cloud platforms like AWS.
All coding exercises will be in Python. AWS will be used as a cloud platform for demos. for practice, Learners can use any other programming framework or cloud platform if they wish to.
Hardware is not covered in this course. A software simulator will be used to simulate hardware behavior for demos & assignments. If interested, participants can purchase device hardware available for educational purposes. Guidance will be provided on h/w setup/configuration.

Description

Internet of Things (IoT): From Fundamentals to Advanced

Dive into the exciting world of the Internet of Things (IoT) and learn how connected devices, sensors, cloud platforms, and data analytics work together to power modern intelligent systems.

This comprehensive course is designed for beginners, engineers, developers, and technology professionals who want to understand how IoT solutions are designed, built, and deployed in real-world environments.

Starting from the fundamentals of IoT architecture, this course takes you step-by-step through device connectivity, communication protocols, cloud integration, and real-world IoT data processing.

You will also explore modern trends shaping the future of IoT, including AI (Artificial Intelligence), Edge AI, and TinyML, which enable intelligent decision-making directly on devices.

What Makes This Course Unique

• Best-Selling IoT Course on Udemy trusted by thousands of learners worldwide
• Available to Udemy Business enterprise learners
• Covers the complete IoT ecosystem — devices, connectivity, cloud, and analytics
• Includes hands-on projects using AWS IoT Core and cloud services
• Designed by an industry expert with 25+ years of experience in global IT and technology architecture
• Focus on real-world IoT architecture and scalable systems
• Regularly updated with the latest IoT technologies and industry trends

What You Will Learn

In this course, you will gain a strong understanding of the complete IoT technology stack, including:

• IoT architecture and ecosystem
• Sensors, actuators, and embedded devices
• IoT networking and communication protocols (MQTT, HTTP, etc.)
• Device connectivity and secure data communication
• Cloud integration using AWS IoT Core
• IoT data storage using AWS DynamoDB
• IoT batch and stream processing using AWS Kinesis
• Data analytics and machine learning using AWS SageMaker
• Edge computing and cloud computing in IoT systems
• Designing scalable and production-ready IoT architectures
• Emerging technologies including AIoT, Edge AI, and TinyML

Hands-On Projects

This course focuses strongly on practical learning and real-world implementation.

You will work on hands-on projects such as:

• Connecting IoT devices to AWS IoT Core
• Building IoT data pipelines using AWS services
• Storing and processing IoT data in DynamoDB
• Implementing real-time IoT data streaming using AWS Kinesis
• Exploring IoT data analytics using AWS SageMaker

These projects help you gain practical experience designing and implementing scalable IoT systems used in industry.

Who This Course Is For

This course is ideal for:

• Beginners interested in learning Internet of Things
• Software engineers and developers
• Embedded systems engineers
• Cloud engineers working with IoT platforms
• Data engineers analyzing IoT data
• Technology professionals exploring IoT and AI-driven systems

No prior IoT experience is required, although basic programming knowledge is helpful.

Skills You Will Gain

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

• Understand complete IoT architecture and system design
• Connect IoT devices with cloud platforms
• Build end-to-end IoT data pipelines
• Process and analyze IoT data streams
• Design scalable and production-ready IoT solutions
• Understand how AI and machine learning integrate with IoT systems

Why Learn IoT?

The Internet of Things is transforming industries worldwide, including:

• Smart Cities
• Industrial IoT (IIoT)
• Healthcare IoT
• Smart Homes and Buildings
• Connected Vehicles
• Agriculture and Environmental Monitoring

Professionals with IoT, Cloud, and AI integration skills are in high demand across industries.

This course will help you build a strong foundation to enter and grow in this exciting field.

Course Includes

• Comprehensive video lectures
• Hands-on IoT projects using AWS
• Real-world architecture explanations
• Downloadable resources
• Lifetime access
• Certificate of completion

Start Your IoT Journey Today

By the end of this course, you will have:

• A strong foundation in IoT technologies
• Practical experience integrating IoT with AWS cloud services
• Real-world knowledge of designing connected systems

Join thousands of learners already exploring the future of connected technology.

Start learning today and take your first step toward becoming an IoT professional.

Who this course is for:

Ideal for engineers, developers, architects, and leaders aiming to boost their IoT knowledge for greater efficiency and innovation.

IoT for Industry 4.0: Cloud, Edge AI & Smart Systems

What you'll learn

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Course content

IOT for Industry 4.0 - Course Outline and getting started with3 lectures • 14min

IoT Fundamentals, architecture & challenges12 lectures • 2hr 6min

Introduction to Industry 4.05 lectures • 1hr 23min

Hands on Lab - MQTT Communication6 lectures • 54min

Hands On AIoT Pipeline in Python7 lectures • 52min

2 - IoT Devices, Cloud and Edge Computing7 lectures • 1hr 30min

3 - IoT Networking Protocol and application8 lectures • 2hr 12min

4 - IoT Cloud Processing with AWS IoT Core and Dynamo DB4 lectures • 1hr 13min

5 - IoT Cloud Stream Processing with AWS IoT Core - Kinesis -DynamoDB4 lectures • 1hr 3min

6 - IoT Cloud Batch Processing with AWS agemaker and Spark2 lectures • 39min

Requirements

Description

Who this course is for: