This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.
Artificial Intelligence is a branch of computer science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques
Artificial Intelligence is one of the disruptive technologies that have the potential to change the way businesses operate. Companies are harnessing the power of AI and self-driving cars, virtual assistants, facial recognition, personalized shopping are only the initial applications of AI. The demand for skilled AI engineers is soaring and so one should learn AI to become a part of this exciting domain.
Knowledge of core math concepts like statistics, calculus, linear algebra, and probability along with proficiency in any one programming language helps to get started in AI without much difficulty. Our Introduction to AI course is specifically designed for beginners and covers everything from the basics.
There are no prerequisites for opting for this Introduction to Artificial Intelligence for beginners. It does not require programming or an IT background, making it ideal for professionals from all walks of corporate life.
Course Introduction
Introduction
Decoding Artificial Intelligence
Meaning, Scope, and Stages of Artificial Intelligence
Three Stages of Artificial Intelligence
Applications of Artificial Intelligence
Image Recognition
Applications of Artificial Intelligence - Examples
Effects of Artificial Intelligence on Society
Supervises Learning for Telemedicine
Solves Complex Social Problems
Benefits Multiple Industries
11 Key Takeaways
Knowledge Check
Meaning of Machine Learning
Relationship between Machine Learning and Statistical Analysis
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