ITI 555 - Introduction to Generative AI | Montgomery College, Maryland

Registration Option: Open Enrollment

Total Course Hours: 12

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Description

This course introduces students to the history, development, and applications of Artificial Intelligence (AI) and Generative AI (GenAI). Students will explore foundational concepts and emerging technologies shaping GenAI, including frameworks, neural network models, and large language models (LLMs). The course will highlight how AI is applied in Microsoft 365 tools, as well as key terms and technologies relevant to GenAI. Through industry case studies, students will analyze how GenAI is transforming various fields. Hands-on activities with prompt engineering will provide practical skills for interacting with GenAI models. In addition, students will examine current challenges, risks, and ethical concerns associated with AI, while considering the future of AI and its impact on the job market.

Prerequisites

This course has no prerequisites.

Objectives

At the end of this course students will know how to:

Describe the history and evolution of Artificial Intelligence (AI) and Generative AI (GenAI).
Identify and explain current trends, concepts, and technologies in GenAI, including frameworks, neural network models, and large language models (LLMs).
Demonstrate how AI is integrated into Microsoft 365 applications.
Define key terms and evaluate case studies showing how GenAI is used across industries.
Apply prompt engineering techniques to interact with GenAI models effectively.
Analyze risks, ethical concerns, and security challenges related to GenAI.
Assess the impact of AI on the job market and discuss future directions of AI technology.