Artificial intelligence (AI) and machine learning (ML)
About Course
Introduction
Artificial Intelligence (AI) and Machine Learning (ML) are two of the most important and rapidly evolving fields in computer science today. This course will provide a comprehensive overview of AI and ML principles, algorithms, technologies, applications, and more. We will focus on understanding how to apply AI and ML concepts to solve problems in various industries. The course objectives include understanding AI technologies; exploring technical aspects such as supervised learning, unsupervised learning, deep learning, reinforcement learning; applying AI/ML to real-life scenarios; developing machine learning models; utilizing cloud computing platforms for data processing; using open-source libraries for big data analysis; and much more. By the end of the course you should have a good working knowledge of both AI and ML fundamentals that can be applied to solve business problems with data-driven insights.
Course Content
Module 1: Introduction to Artificial Intelligence and Machine Learning
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Lesson 1 Introduction to Artificial Intelligence and Machine Learning
00:59 -
Lesson 2 History and Development
01:39 -
Lesson 3 Types of AI/ML Applications
01:25 -
Lesson 4 Basic components
01:04 -
Lesson 5 Terminology
02:02