AI in Connected Products (AIOT)

1h 8mBeginner2023-05-24

Authors

Sudha Jamthe

CEO of IoT Disruptions, Advisor, Author, and Instructor

Course details

The convergence of artificial intelligence and the Internet of Things is having a profound effect on all industries and walks of life. In this course, Sudha Jamthe discusses how AI and IoT have transformed job roles and businesses, and shows you how to build AI from IoT data using zero code. Sudha teaches business use cases and AI models including cameras utilizing computer vision integration of AI and digital twins in cloud and edge computing, machine learning used in fitness devices, and Generative AI natural language processing used in voice assistants. Along the way, Sudha provides a series of challenges and solutions, demos, and hands-on videos so you can see the lessons in action. She shows you how to build AI models for image classification, customer churn and an intelligent chatbot to talk to IoT.

Skills covered

Internet of ThingsHardwareNatural Language Processing (NLP)Artificial Intelligence FoundationsArtificial Intelligence (AI)Software DevelopmentDeep Dive (X:Y)

Concepts

0. Introduction

01 - AI in connected products

1. What Are Connected Products

02 - What is IoT
03 - Connected products ecosystem
04 - Types of IoT data
05 - Digital twins

2. AI in Connected Products or AIoT

06 - Talk to a real AI
07 - Artificial intelligence lifecycle
08 - Types of AI in connected products
09 - AI at the edge vs. cloud

3. Computer Vision in Connected Products

10 - What is computer vision
11 - Types of computer vision models
12 - Build a computer vision model for image classification

4. Machine Learning in Fitness Devices

13 - What is machine learning
14 - Types of machine learning models
15 - Build machine learning model for customer churn

5. Generative AI for Natural Language Processing

16 - What are NLP and generative NLP
17 - NLP models
18 - Generative AI models
19 - Build an intelligent chatbot with generative AI NLP

Conclusion

20 - Next steps