IT 390 Topics in Information Technology
Summary
Artificial Intelligence has transformed countless industries, and changed the way we all live and work. Understanding and leveraging Large Language Models (LLMs) is becoming essential for almost any job — it’s even become a whole new career path itself. You can be part of what’s next by building your expertise in key techniques, tools, and knowledge fundamental to driving AI advancements.
This Generative AI course gives you the hands-on practice and skills you need to stay ahead of the AI curve. You will explore the frontiers of Artificial Intelligence (AI) by understanding the core elements of AI, diving into Large Language Models (LLMs) like ChatGPt and exploring the secrets of Generative AI. Equip yourself with the knowledge to unlock the evolving AI landscape.
Texts
Optional reading materials and reference articles will be available in D2L
Grading
Lab 20%
Homework 40%
Midterm 20%
Final 20%
Prerequisites
- Basic computer skills
- No prior knowledge of AI is required.
Introduction
Digital Transformation - Business disruption and Job market
AI Overview
NLP and Chatbot Overview
OpenAI, ChatGTP Overview
Architecture and key components: Foundation Model, LLM, Transformer, Prompt, etc.
ChatGTP Usages: Prompt syntax, parameters, best practices
Business opportunities and real-world scenarios
Generate Artwork (Dell-E2, Midjourney, etc.)
Microsoft AI, Bing Overview
Microsoft Office, Copilot, Designer, etc.
Google AI, Bard Overview
Google Workspace, Generative AI App Builder, Vertex AI
Amazon AI (Bedrock, etc.)
IBM AI (Watson.x, etc.)
AI & Metaverse
Privacy, Ethical issues and Risks of ChatGPT
This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
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have any questions be sure to consult with your professor.
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