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Introduction to Artificial Intelligence (AI)

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.

Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems.

Note: The practical elements of this course are based on Microsoft Azure, and require an Azure subscription. Instructions for signing up for a free trial subscription are provided with the course materials, or you can use an existing Azure subscription if you have one.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

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Microsoft

Rating Not enough ratings
Length 4 weeks
Effort 3 - 4 hours per week
Starts Oct 1 (7 weeks ago)
Cost $99
From Microsoft via edX
Instructor Graeme Malcolm
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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Azure Cloud Architect (12am-8am, Operations) $63k

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Microsoft Azure Cloud Architect $98k

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Technology Solutions Professional - AZURE $135k

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edX

&

Microsoft

Rating Not enough ratings
Length 4 weeks
Effort 3 - 4 hours per week
Starts Oct 1 (7 weeks ago)
Cost $99
From Microsoft via edX
Instructor Graeme Malcolm
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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