Introduction to Artificial Intelligence
Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial inteligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.
Program Features
Industry-recognized course completion certificate
Delivery Mode
Online-Self Learning
This is a fully online self-paced learning course.
There are no prerequisites for taking this course.
Target Audience
Introduction to Artificial Inteligence imparts the basic concepts and principles of Artificial Inteligence to learners.The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning.This Artificial Inteligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
Developers aspiring to be an artificial intelligence engineer or machine learning engineer
Analytics managers who are leading a team of analysts
Information architects who want to gain expertise in AI algorithms
Analytics professionals who want to work in machine learning or artificial intelligence
Graduates looking to build a career in artificial intelligence or machine learning
Key Learning Outcomes
Upon Completion of this course, you will learn:
The meaning, purpose, scope, stages, applications, and effects of AI
Fundamental concepts of machine learning and deep learning
The difference between supervised, semi-supervised and unsupervised learning
Machine Learning workflow and how to implement the steps effectively
The role of performance metrics and how to identify their key methods
Course Curriculum