Artificial Intelligence & IoT

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About Course

The “AI with IoT” course is designed to provide students with a comprehensive understanding of the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies. The course explores how AI and IoT can work together to create intelligent systems that enhance automation, data analysis, and decision-making in various industries.

Throughout the course, students will delve into the fundamental concepts of AI and IoT, including machine learning, data analytics, sensor networks, and cloud computing. They will learn how AI algorithms can be applied to IoT data streams to extract valuable insights and enable intelligent automation.

What Will You Learn?

  • Understanding of AI and IoT Technologies
  • IoT Data Acquisition and Preprocessing
  • Machine Learning Techniques for IoT
  • AI Models for IoT
  • AI Ethics and Security in IoT

Course Content

Basics of Artificial Intelligence
What is AI? Applications and Examples of AI, AI Concepts, Terminology, and Application Areas, AI: Issues, Concerns and Ethical Considerations, The Future with AI, and AI in Action, Machine learning algorithms and concepts, Deep learning fundamentals, Supervised and unsupervised learning techniques, Solving, No-code Approach in AI

  • Introduction to Artificial Intelligence

Introduction to Python Programming Language
Basic Python Syntax, Loops, Strings, Lists and Dictionaries, Object Oriented Programming, Libraries

Capstone Project
The Capstone Project lecture serves as a culmination of the knowledge and skills acquired throughout a program or course. It provides an opportunity for students to apply their learning to a real-world project and demonstrate their proficiency in a specific area. This lecture typically guides students through the process of conceptualizing, planning, and executing a capstone project.

Introduction to IoT
Exploring and Understanding the Internet of Things (IoT) ecosystem, Networking Technologies for IoT, Interfacing with the Arduino, IoT Programming with Arduino, IoT protocols and communication technologies, Sensors, actuators, and data acquisition in IoT systems, IoT platforms and frameworks

Integration of AI with IoT Systems
Developing AI models for IoT applications, Real-time data processing and inference, Model optimization and deployment on IoT platforms, Capstone Project

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