Ai For Iot (aiot): Edge Ai, Tinyml & Smart Systems
Published 3/2026
Created by Rajesh Sinha
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 52 Lectures ( 9h 41m ) | Size: 5.34 GB
What you'll learn
✓ Understand how Artificial Intelligence integrates with IoT systems to create intelligent, data-driven architectures.
✓ Analyze IoT sensor data and apply machine learning techniques to detect patterns, anomalies, and predictive insights.
✓ Design AI-enabled IoT solutions capable of real-time decision making using modern AIoT architecture principles.
✓ Understand how Edge AI and TinyML enable machine learning models to run on resource-constrained IoT devices.
✓ Evaluate real-world applications of AIoT in areas such as smart cities, industrial IoT, predictive maintenance, and intelligent infrastructure.
Requirements
● An interest in learning how Artificial Intelligence can be applied to IoT systems. A computer with internet access to follow along with the lectures. No prior experience with AI, Machine Learning, Edge AI, or TinyML is required. All concepts will be introduced and explained throughout the course.
Description
AI for IoT (AIoT): Edge AI, TinyML & Smart Systems
The next evolution of the Internet of Things is AIoT - Artificial Intelligence of Things, where connected devices do more than just collect data. They analyze, learn, and make intelligent decisions.
This course explores how Artificial Intelligence and Machine Learning can be integrated with IoT systems to create intelligent, autonomous, and efficient solutions.
Designed for engineers, developers, and technology professionals, this course provides a practical understanding of how AI models, edge computing, and embedded intelligence are transforming modern IoT systems.
You will learn how to build smart IoT systems capable of detecting patterns, predicting events, and making real-time decisions.
What Makes This Course Unique
- Focus on AI-driven IoT architectures and intelligent systems
- Covers Edge AI and TinyML for resource-constrained devices
- Explains how machine learning models work with IoT sensor data
- Real-world use cases including anomaly detection and predictive analytics
- Designed by a technology expert with 25+ years of industry experience
-Complements foundational IoT knowledge and moves into next-generation intelligent systems
What You Will Learn
In this course, you will explore how AI transforms traditional IoT systems into intelligent systems.
Key topics include
- AIoT architecture and system design
- Machine learning concepts for IoT applications
- Working with IoT sensor data for AI models
- Edge AI for real-time intelligence on devices
- TinyML for running machine learning models on microcontrollers
- AI-based anomaly detection in IoT systems
- Predictive analytics for IoT data
- Designing intelligent IoT applications
Edge AI and TinyML
One of the key themes of this course is moving intelligence closer to devices.
Instead of sending all data to the cloud, modern IoT systems increasingly perform AI processing directly at the edge.
You will learn
• How Edge AI reduces latency and improves real-time decision making
• How TinyML enables machine learning on microcontrollers
• How AI models can run on low-power IoT devices
Real-World AIoT Applications
AIoT is transforming industries across the globe.
In this course, we will explore real-world use cases such as
• Predictive maintenance in industrial systems
• Smart cities and intelligent infrastructure
• Intelligent healthcare monitoring systems
• Smart energy management
• AI-driven anomaly detection in IoT networks
Who this course is for
■ • IoT developers and engineers who want to build intelligent IoT systems • Software developers interested in applying AI to connected devices • AI and machine learning practitioners exploring IoT data applications • Cloud and edge computing engineers working with IoT platforms • Technology professionals interested in emerging technologies such as AIoT and Edge AI • Anyone who understands basic IoT concepts and wants to explore the next generation of intelligent connected systems This course is especially useful for learners who have already explored IoT fundamentals and want to move toward AI-driven IoT solutions.
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!
