AI Essential Components

MGMT X 413.1

Understanding the basic functionality of hardware, software, network, and database components is crucial in AI systems. This foundational knowledge is essential for effective implementation of AI solutions and engagement with the technologies.

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Fall
Winter
Spring
Summer
Online
Starting at $1,050.00
As few as 11 weeks
4.0

What you can learn.

  • Provide a foundational understanding of AI for professionals, managers, and executives to make informed decisions and drive innovation in their organizations
  • Recognize the fundamental components of AI, including hardware, software, networks, and databases
  • Analyze the integration of AI components to solve real-world problems
  • Apply AI technology to design solutions for various business challenges
  • Evaluate AI's impact across industries, identifying opportunities for innovation
  • Leverage open-source AI tools and accelerators to enhance problem-solving capabilities

About this course:

Designed to lay the foundation for future innovation, this course offers a comprehensive introduction to the core components of Artificial Intelligence. It equips managers, executives, and professionals with the essential technical and strategic knowledge to understand and leverage AI effectively. Covering the key pillars of AI—hardware, software, networks, and databases—this course explores how these elements work together to enable AI-driven solutions and applications across industries. Designed as the first step in a broader AI learning journey, this course serves as the building block for more advanced AI courses that delve into AI’s transformative role in business. Participants will gain a clear understanding of how AI technologies can be applied to solve real-world challenges, allowing them to make informed, data-driven decisions within their organizations. By the end of the course, students will be equipped with essential insights into AI’s capabilities, its integration into business processes, and practical strategies for leveraging open-source AI tools and accelerators to drive innovation. Whether you're looking to lead AI initiatives or simply need to navigate the evolving AI landscape with confidence, this course will provide the critical foundation needed to stay competitive and lead in the age of AI.

Spring 2025 Schedule

Date & Time
Details
Format
 
-
This section has no set meeting times.
Future Offering (Opens February 03, 2025 12:00:00 AM)
See Details
402570
Fee:
$1,050.00
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Notes
Enrollment limited; early enrollment advised. Enrollment deadline: Apr. 6
Refund Deadline
Refunds only available from February 03, 2025 to April 06, 2025
Course Requirements
Internet access required to retrieve course materials.

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.

This course applies towards the following certificates & specializations…

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