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 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
Artificial Intelligence & IoT
About Lesson

The Anaconda Installation lecture provides guidance on how to install Anaconda, a popular Python distribution that includes the Python interpreter, package manager, and a comprehensive collection of scientific libraries and tools. This lecture aims to help students set up their development environment and leverage the benefits of Anaconda for Python programming and data analysis tasks.

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