Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you’ll learn the basics and applications of AI, including: machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Intro to Artificial Intelligence

Name: Intro to Artificial Intelligence
Brand: Careervira
Availability: InStock
Rating: 1 (1 reviews)

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Course Report

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Course Features

Duration

4 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Course Description

Artificial Intelligence AI is a field that has a long history but is still constantly and actively growing and changing In this course youa ll learn the basics of modern AI as well as some of the representative applications of AI Along the way we also hope to excite you about the numerous applications and huge possibilities in the field of AI which continues to expand human capability beyond our imagination Note Parts of this course are featured in the Machine Learning Engineer Nanodegree and the Data Analyst Nanodegree programs If you are interested in AI be sure to check out those programs as well

Course Overview

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra You should have understanding of probability theory comparable to that covered in our Intro to Statistics course

What You Will Learn

Applications of AIImage processing and computer visionRobotics and robot motion planningNatural language processing and information retrieval

Fundamentals of AIStatistics, Uncertainty, and Bayes networksMachine learningLogic and planning

Course Content

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Intro to Artificial Intelligence

Course Report

Course Features

Course Description

Module 1: Fundamentals of AI

Module 2: Applications of AI

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