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Machine Learning & IoT

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About Course

The “Machine Learning & IoT” course provides a comprehensive understanding of the integration of Machine Learning (ML) techniques with Internet of Things (IoT) technologies. The course explores how ML algorithms can be applied to IoT data to extract valuable insights, make informed decisions, and enable intelligent automation in various domains.

What Will You Learn?

  • Understanding of Machine Learning (ML) and Internet of Things (IoT) Technologies
  • IoT Data Acquisition and Preprocessing
  • Machine Learning Fundamentals
  • ML Models for IoT
  • Security and Privacy in ML-based IoT Systems

Course Content

Basics of Machine Learning
What is ML? Applications and Examples of ML, ML Concepts, Terminology, and Application Areas, ML: Issues, Concerns and Ethical Considerations, The Future with ML, and ML in Action, Machine learning algorithms and concepts, Tools to implement ML

Machine Learning in Depth
Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Network and Deep Learning, The 7 Key Steps To Build Your Machine Learning Model, ML Project, Future of ML and DL

Introduction to IoT
Arduino Environment, Arduino Programs, Introduction on debugging, Programming with Arduino, IoT protocols and communication technologies, Sensors, actuators, and data acquisition in IoT systems, IoT platforms and frameworks

Machine Learning integration with AI
Case studies and examples of machine learning in IoT domains such as smart homes, healthcare, or industrial IoT, Best practices for deploying and evaluating machine learning models in IoT applications. Capstone Project

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