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.
Fall
Winter
Spring
Summer
What you can learn.
- Understand the fundamental components of artificial intelligence, including hardware, software, networks, and databases
- Analyze how these components integrate to create AI solutions that address real-world problems
- Apply knowledge of AI technology to design and develop solutions for various business challenges
- Evaluate the potential impact of AI on different industries and identify opportunities for innovation and improvement
- Demonstrate proficiency in leveraging open-source AI tools and accelerators to enhance problem-solving capabilities
About this course:
This course provides students with a comprehensive overview of the fundamental components of Artificial Intelligence systems, including hardware, software, networking, and databases. Participants will learn how these components interact to support AI functions and applications, setting the groundwork for subsequent courses that will delve deeper into the application of AI in business. Students will also gain critical knowledge of how AI technologies integrate and apply to real-world scenarios, empowering them with the skills to innovate and lead in the evolving landscape of AI with practical insights into open-source AI applications and accelerators.This course applies towards the following certificates & specializations…
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