Artificial Intelligence (AI)
AI for Workforce
Dive into the world of artificial intelligence with our hands-on introductory course! This six-week training provides a comprehensive introduction to and exploration of AI fundamentals and their transformative role in workforce development. Using materials from the Intel AI for Workforce program and the Orange data mining software, you'll not only gain a solid grasp of AI concepts but also hands-on experience with the following:
- AI Fundamentals: Start with the basics of Artificial Intelligence, diving into its core principles and real-world applications.
- AI vs. Generative AI vs. Chatbots: Uncover the distinctions between these exciting technologies and their unique uses.
- Practical Use Cases: Discover how AI is revolutionizing workforce sectors such as healthcare, finance, and more.
- Open-Source Tools: Evaluate and compare tools like ChatGPT and Advanced Gemini, and learn how they enhance professional tasks.
- Mathematical Computing: Get comfortable with SciPy and NumPy for data analysis and AI modeling.
- Natural Language Processing (NLP): Understand the generation of NLP and its practical applications.
Engage in practical projects, like building chatbots, without needing any prior programming experience. This course emphasizes learning by doing, incorporating no-code tools and introductory Python coding to empower you to create your own AI applications.
Please call The PCATT Registration Office at 808-845-9296 or email pcatt@hawaii.edu for assistance.
AI in Cybersecurity
The course, AI in Cybersecurity, is a comprehensive program designed to bridge the gap between artificial intelligence and defensive security measures. It begins by establishing the fundamental concepts of both Cybersecurity and AI, exploring frameworks like the CIA Triad and the NIST AI Risk Management Framework, and analyzing the evolving cyber threat landscape, including the rise of AI-powered attacks. The core of the course focuses on practical AI applications, covering Machine Learning (supervised and unsupervised) for tasks like malware and anomaly detection, as well as the use of Generative AI and Large Language Models for vulnerability discovery and threat prevention. The final weeks delve into advanced security operations, including AI-driven network traffic analysis, Security Orchestration, Automation, and Response (SOAR), incident response strategies, malware analysis, and applied penetration testing techniques, all culminating in a practical project.
Section - COM2194-001
48 Contact Hrs | Honolulu Community College | $695
No meeting on March 26, 2026
Introduction to Generative AI (GAI)
This course introduces participants to the rapidly evolving field of Generative Artificial Intelligence (GAI) — the technology behind ChatGPT, DALL·E, Gemini, Claude, and other content creation systems. Using hands-on exercises with popular AI tools.you will learn how generative models work, explore their applications in text, images, audio, and video.
By the end of this course, you will have the skills to create, evaluate, and responsibly apply Generative AI solutions across education, business, and creative domains. Emphasis will also be placed on AI ethics, prompt engineering, and future workforce implications.
Section - COM2192-001
15 Contact Hrs | Honolulu Community College | $695
Introduction to Machine Learning
Introduction to Machine Learning introduces learners to the concepts and terminology of Artificial Intelligence (AI),
machine learning, and generative AI. By the end of this course, students will be able to select and apply Amazon
Web Services to resolve business problems using machine learning. They will also be able to label, build, train, and
deploy a custom machine learning model through a guided, hands-on approach. In addition, students will get a first
experience working with generative AI through a guided, hands-on lab.
Section - COM2193-001
32.5 Contact Hrs | Honolulu Community College | $695