Internet of Things: From Fundamentals to Advanced
Exploring IoT Components, Architectures; Integration with Cloud Services using AWS with Hands-On Projects
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,
Lectures -54
Resources -36
Quizzes -6
Duration -11 hours
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Course Description
Learn about the Internet of Things (IoT) from scratch with our fully comprehensive online course, designed for beginners and professionals alike who are looking to enhance their knowledge. This course covers essential topics in IoT fundamentals, starting from necessary concepts in IoT architecture to specific challenges actually encountered in real-world applications.
Learn how IoT devices connect and communicate using various networking protocols to deliver reliable, seamless data exchange. We will explore topics such as cloud and edge computing, focusing on the critical roles these technologies play in processing and storing IoT data efficiently. Utilizing hands-on projects, you will gain practical experience using AWS IoT Core and DynamoDB, enabling the scaling of IoT solutions in the cloud.
In addition to that, the course provides advanced knowledge of IoT batch and stream processing with AWS Kinesis, as well as working with analytics in IoT using SageMaker. Through real-world projects, you'll learn the theory and put your skills and knowledge into action to ensure you are properly equipped for a career in this fast-evolving area.
By the end of this course, you will have a solid foundation in IoT technologies and hands-on experience in cloud integration; you will be prepared to tackle complex IoT challenges. Join us and get one step closer toward becoming an IoT expert!
Goals
The course imparts practical skills to design, implement, and manage IoT solutions, optimize operations, enhance analytics, and drive product innovation.
You’ll gain multiple skills to become a well-rounded software professional with a deep understanding of technologies, their applications, and interdependencies.
Prerequisites
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.
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.
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.
Curriculum
Check out the detailed breakdown of what’s inside the course
IoT Fundamentals, architecture & challenges
13 Lectures
-
1.1-Ageda-IoT Introduction and Architecture
02:52
02:52
-
1.2-IoT Overview, Applications and Evolution
15:29
15:29
-
1.3-IoT Basic architecture and challanges
10:41
10:41
-
1.4-IoT Cloud and Edge computing
13:34
13:34
-
1.5-IoT Use Case - AI enabled device
08:40
08:40
-
1.6-IoT Case Study 1- Asset Tracking and Management
10:27
10:27
-
1.7-IoT Case Study 2- Singapore smart city
08:59
08:59
-
1.8-Hands on Practice - IoT Communication with MQTT- Part 1
15:04
15:04
-
1.8-Hands on Practice - IoT Communication with MQTT- Part 2
23:19
23:19
-
1.8-Hands on Practice - Communicating with MQTT- Python
15:56
15:56
-
Quiz - IoT Fundamentals, architecture, challenges
-
Additional Excercise with Device Hardware (Optional)
-
Assignment for Learners - Empowering Patient Care through Innovative Technology
2 - IoT Devices, Cloud and Edge Computing
9 Lectures
3 - IoT Networking Protocol and application
10 Lectures
4 - IoT Cloud Processing with AWS IoT Core and Dynamo DB
6 Lectures
5 - IoT Cloud Stream Processing with AWS IoT Core - Kinesis -DynamoDB
6 Lectures
6 - IoT Cloud Batch Processing with AWS agemaker and Spark
3 Lectures
7 - IoT Connecting Dots
5 Lectures
8-Capstone Project
2 Lectures
Instructor Details
Rajesh Sinha
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