We are proud to annouce we have been accepted into the Fall Working Connections AI Foundations Workshop. This immersive workshop explores the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML), equipping educators with the knowledge and skills to integrate these technologies into your curriculum and prepare students for emerging industry demands. We will cover data preparation, classification algorithms, deep learning, image processing, and natural language processing. We will discuss the AI project lifecycle, from problem formulation to deployment Additionally, the course will provide a thorough overview of essential Python operations, making it accessible even to those without prior programming knowledge. Several AI tools will be introduced, including ChatGPT, Midjourney, Copilot, Claude, and many others.
Objectives
1. Understand the scope and significance of Artificial Intelligence (AI), including its ethical, legal, and societal implications.
2. Distinguish between and apply AI algorithms such as decision trees, clustering, and supervised, unsupervised, and reinforcement learning techniques,
3. Understand the AI project lifecycle, from problem formulation to deployment, incorporating Machine Learning algorithms and Deep Learning methodologies.
4. Explore AI applications across multiple domains, including Data Analytics, Computer Vision, Natural Language Processing, and Cybersecurity.
5. Proficiently utilize and evaluate popular AI tools such as ChatGPT, GitHub Copilot, Teachable Machine, and Claude for educational and practical purposes.
This workshop is provided by NITIC and instructed by Instructor
Wade Huber
Wade Huber is a residential computer science faculty member at Chandler-Gilbert Community College, where he recently served on the committee developing CGCC’s Artificial Intelligence bachelor’s degree. He has over 25 years of experience as a software engineer in the telecom, semiconductor, and medical device manufacturing industries. During this time, he taught math and computer science as an adjunct professor. He holds a Bachelor of Science from Trinity University in San Antonio, TX, and a Master of Science in Computer Science from The University of Texas at Dallas.