Overview

This course is centered on the foundational concepts, techniques, and implications of Artificial Intelligence (AI). It provides a comprehensive overview of how intelligent systems are developed, deployed, and governed. While AI encompasses a wide range of technologies and use cases, at its core are fundamental principles from computer science, data analysis, and human cognition. 

There are four major domains covered in this course:

  1. Foundations and History of AI 

  2. AI Technologies and Techniques 

  3. Security and Ethics in AI 

  4. Applications and Impacts of AI 

This course is taught with UMass Global’s LIVE ONLINE training format using a video communications software. Students receive the same high-quality training as found in a traditional classroom setting.

Course Schedule:

Click here to view Course Schedule

Students will receive detailed course information on the Friday prior to the start of class. For more information, contact: corporatetraining@umassglobal.edu.


For EdAssist, Employer or Third Party Payment Registrations, please email corporatetraining@umassglobal.edu with the course name, course number and your employer or the third party that would like to pay for your registration.

 

At a Glance

Approximately 30 hours
3.0 CEUs
$1,850
EdAssist discounted rate: $1,665

Live Online Training Experience

Expert

Instructor-Led in Real Time

Learn directly from an expert instructor delivering content live, allowing for immediate insights and guidance.

Fully Accessible

Access to Course Materials

Receive full access to presentations, resources, and supporting documents to reinforce your learning.

Marketing

Interactive Learning Environment

Engage with classmates and your instructor through a collaborative platform that encourages discussion and participation.

Fast Track

On-Demand Playback

Revisit any session at your convenience with access to recorded classes for continued learning and review.

  • Explain the foundational concepts, history, and evolution of Artificial Intelligence (AI), including its role in modern computing and society.
  • Describe the structure and capabilities of machine learning (ML), deep learning (DL), natural language processing (NLP), and large language models (LLMs).  
  • Differentiate between types of AI (narrow, general, and superintelligent) and the key tasks AI systems are designed to perform.
  • Identify common AI applications across industries and evaluate their practical impact on business, healthcare, security, and daily life.
  • Analyze ethical challenges in AI such as bias, privacy, transparency, and decision accountability.
  • Discuss the role of security in AI systems, including how AI can be attacked and how it can be used to enhance cybersecurity.
  • Apply core AI concepts to interpret how AI systems are trained, validated, and deployed.
  • Evaluate the societal implications of AI adoption, including workforce shifts, legal concerns, and governance challenges. 

Tuition covers only the cost of the course. Nothing else is provided to the student.

Resources

Refund Policy

Ways to Get Started

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