Understand the Basics: Gain a fundamental understanding of what AI is, how it works, and the historical context.
Learn AI Concepts: Explore key AI concepts such as machine learning, neural networks, and deep learning.
Discuss Ethical Considerations: Examine the ethical implications and societal impact of AI, including privacy, bias, and job displacement.
Explore AI Applications: Discover practical AI applications in live demonstrations.
Develop Practical Skills: Engage in hands-on activities to apply AI tools.
Master Prompt Engineering: Learn the art of crafting effective prompts.
Enhance Productivity: Utilize AI applications to improve your productivity.
Introduction and How AI Works
• Introduction to AI:
o Definition and brief history.
o Types of AI (narrow, general, superintelligent).
• How AI Works:
o Basic concepts of machine learning, neural networks, and deep learning.
o How AI models are trained using data.
• Current Debates and Concerns:
o Ethical considerations (bias, privacy, job displacement).
o AI in society: benefits and potential risks.
Exploring AI Applications
• ChatGPT:
o Overview and capabilities.
o Demonstration of generating text, answering questions, and conversational abilities.
• Gemini:
o Overview and capabilities.
o Demonstration of creating code and solving technical problems.
• DALL-E:
o Overview and capabilities.
o Demonstration of generating images from text prompts.
• Google Translate:
o Demonstrate real-time text and speech translation.
o Show how to use the camera feature to translate text in images.
• Grammarly:
o Demonstrate how AI helps with grammar, spelling, and style suggestions while writing.
Practical Applications and Prompt Engineering
• Prompt Engineering:
o Explanation of what prompt engineering is and why it's important.
o Best practices for crafting effective prompts.
• Practical Outputs:
o Brainstorming Ideas: Using AI to generate creative ideas and solutions.
o Creating Tables and Lists: Structuring information efficiently.
o Summarizing Articles: Condensing large amounts of text into concise summaries.
o Generating Simple Code: Demonstrating how AI can help write and debug code snippets.
• Hands-On Activities:
o Grammarly: Have students write a short paragraph and use Grammarly to check for grammar, spelling, and style suggestions.
o Otter.ai: Use Otter.ai to transcribe a short conversation or lecture segment and discuss the accuracy and potential uses of the transcription.
o Canva: Guide students through a basic image
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Computer/Laptop with high speed internet and camera with microphone.
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attendance
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This is course is perfect from the student to the working professional that wants to keep up with workforce trends in AI.
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Requisites: None
To view information on this course and additional non-degree course offerings, visit the Workforce Continuing Education Catalog