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 
     

LIVE ONLINE format:

Delivered through UMass Global’s LIVE ONLINE format using advanced video conferencing technology, this course provides the same expert instruction and interactive experience as an in-person classroom.

At a Glance

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

LIVE ONLINE training includes:

Award

Live Instruction

Join real-time sessions led by experienced instructors who guide you through key concepts and answer questions as they arise.

Simulation Tech

Course Materials

Gain full access to presentations, resources, and learning materials to support your success throughout the course.

Expert support

Collaborative Learning

Engage with classmates and your instructor through a dynamic virtual platform designed to foster interaction and discussion.

Video

On-Demand Playback

Miss a session or want to review a topic? Rewatch recorded classes at your convenience, anytime, from anywhere.

  • 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.

  • Full refund before the first class meeting
  • 90% refund within the 1st class meeting
  • 80% refund within the 2nd class meeting
  • No refunds after the 2nd class meeting

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