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+--- Thread: Internet Of Things: From Fundamentals To Advanced (/Thread-Internet-Of-Things-From-Fundamentals-To-Advanced--735483)
Internet Of Things: From Fundamentals To Advanced - AD-TEAM - 12-22-2024
![[Image: c1f7bfa9b170b051261bcfa2c3eec5cd.jpg]](https://i124.fastpic.org/big/2024/1222/cd/c1f7bfa9b170b051261bcfa2c3eec5cd.jpg)
Internet Of Things: From Fundamentals To Advanced
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.15 GB | Duration: 11h 3m
Exploring IoT Components, Architectures; Integration with Cloud Services using AWS with Hands-On Projects
[b]What you'll learn[/b]
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
[b]Requirements[/b]
This is a fast-paced, intensive course covering a wide range of tools and concepts. Participants should have working knowlegde of Python (or another programming language), databases, and cloud platforms like AWS.
All coding exercise will be in Python. AWS will be used as cloud platform fo demo. 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.
[b]Description[/b]
Dive into the dynamic world of the Internet of Things (IoT) with our comprehensive online course, designed for both beginners and professionals eager to expand their knowledge. This course thoroughly explores IoT fundamentals, starting with the essential concepts of IoT architecture and the challenges faced in real-world applications.Learn how IoT devices connect and communicate through various networking protocols, ensuring seamless data exchange. We will delve into cloud and edge computing, emphasizing their critical roles in processing and storing IoT data efficiently. Through hands-on projects, you will gain practical experience using AWS IoT Core and DynamoDB, allowing you to understand how to manage and scale IoT solutions in the cloud.Additionally, the course covers advanced topics such as IoT batch and stream processing with AWS Kinesis and leveraging AWS SageMaker for analytics in IoT. You'll not only learn the theory but also engage in real-world projects that reinforce your skills and knowledge, preparing you for a successful career in this rapidly evolving field.By the end of this course, you will have a solid foundation in IoT technologies, practical experience in cloud integration, and the ability to tackle complex IoT challenges. Join us and take your first step towards becoming an IoT expert!
Overview
Section 1: IoT Fundamentals, architecture & challenges
Lecture 1 1.1-Ageda-IoT Introduction and Architecture
Lecture 2 1.2-IoT Overview, Applications and Evolution
Lecture 3 1.3-IoT Basic architecture and challnages
Lecture 4 1.4-IoT Cloud and Edge computing
Lecture 5 1.5-IoT Use Case - AI enabled device
Lecture 6 1.6-IoT Case Study 1- Asset Tracking and Management
Lecture 7 1.7-IoT Case Study 2- Singapore smart city
Lecture 8 1.8-Hands on Practice - IoT Communication with MQTT- Part 1
Lecture 9 1.8-Hands on Practice - IoT Communication with MQTT- Part 2
Lecture 10 1.8-Hands on Practice- Communicating with MQTT- Python
Lecture 11 Additional Excercise with Device Hardware (Optional)
Section 2: 2 - IoT Devices, Cloud and Edge Computing
Lecture 12 2.1 IoT Sensors and Actuators
Lecture 13 2.2-IoT Thing-Devices
Lecture 14 2.3-IoT Cloud and Edge
Lecture 15 2.4-Case Study
Lecture 16 2.5-Hands on Practice 1-MQTT-Subscriber-MongoDB
Lecture 17 2.6-Hands on 2-MQTT Advanced Config
Lecture 18 2.7-Hands on 3-mongodb analytics
Section 3: 3 - IoT Networking Protocol and application
Lecture 19 3.1-IoT Networking Requirements
Lecture 20 3.2-IoT Networking Elements
Lecture 21 3.3-IoT Networking Protocol Landscape
Lecture 22 3.4-IoT Networking -MQTT
Lecture 23 3.5 IoT Case Studies
Lecture 24 3.6-Hands on - Demo-node-red-1
Lecture 25 3.6-Hands on - Demo-node-red-2
Lecture 26 3.6-Hands on - Demo-node-red-1
Section 4: 4 - IoT Cloud Processing with AWS IoT Core and Dynamo DB
Lecture 27 4.1 IoT Cloud Processing agenda
Lecture 28 4.2 AWS IoT Core and Dynamo DB
Lecture 29 4.3 IoT Core and Dynamo DB - Hands on practice
Lecture 30 4.4 IoT Cloud Processing Case Study
Section 5: 5 - IoT Cloud Stream Processing with AWS IoT Core - Kinesis -DynamoDB
Lecture 31 5.1 IoT Stream Processing-part 1
Lecture 32 5.1 IoT Stream Processing-part 2
Lecture 33 5.2 IoT Stream Processing-Hands on Practice Demo - part 1
Lecture 34 5.2 IoT Stream Processing-Hands on Practice Demo - part 2
Section 6: 6 - IoT Cloud Batch Processing with AWS agemaker and Spark
Lecture 35 6.1 IoT Batch Processing
Lecture 36 6.2 IoT Batch Processing - Hands on Practice demo
Section 7: 7 - Connecting Dots
Lecture 37 7.1-Connecting Dots
Lecture 38 7.2-Project 1 - Smart Home - Problem statement and solution approach
Lecture 39 Project 1 - Smart Home - Solution Implementaiton and code walkthrough
Lecture 40 7.3-Project 2 - Smart Healthcare- Problem statement and solution approach
Lecture 41 7.3-Project 2 - Smart Healthcare-Solution Implementaiton and code walkthrough
Section 8: Capstone Project
Lecture 42 Final Project
Ideal for engineers, developers, architects, and leaders aiming to boost their IoT knowledge for greater efficiency and innovation.
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