events

Description: This course offers an exploration of visual generative AI (GenAI) tools for image and design generation. Participants will gain a primer on visual GenAI tools, considerations for using GenAI, and some best practices for creating effective and accessible designs. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting appropriate visual styles to generate unique images using Adobe Firefly. Additionally, they will learn how to generate visual elements to be incorporated into designs using Adobe Express. 

This course is an elective for the digital badge for the AI Literacy Education Program.

*Disclaimers:

• This course utilizes Adobe tools which are available to faculty, staff, and select student populations. Students will need to ensure access to Adobe apps before attending this workshop.
• Adobe Firefly and Express are accessed via the web, so you do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:

• Understand the basics of AI image and layout generation technology
• Write descriptive prompts and use visual style options to generate images that meet their needs. (Adobe Firefly)
• Write effective prompts to generate elements for graphic design. (Adobe Express)
• Understanding of general best practices for visual design while we use Adobe Express, including
  • Accessibility considerations (color contrast, font size, etc.), creating compositions (weight, size, repetitiveness, spacing), and exporting files

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools or visual design

Description: This course introduces participants to the Zoom AI Companion and its practical applications within a university setting. The course covers key features such as meeting summaries, real-time Q&A, interactive smart recordings, and whiteboard tools for generating sticky notes, tables, mind maps, and flowcharts. Participants will learn how to apply these tools to enhance productivity, collaboration, and learning in academic and administrative contexts through guided demonstrations and hands-on activities. 

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to: 

• Describe the main features of Zoom AI Companion
• Identify practical scenarios where Zoom AI Companion can enhance productivity, collaboration, or learning outcomes
• Demonstrate how to use Zoom AI Companion features to accomplish specific tasks

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools

Description: This course introduces participants to the Zoom AI Companion and its practical applications within a university setting. The course covers key features such as meeting summaries, real-time Q&A, interactive smart recordings, and whiteboard tools for generating sticky notes, tables, mind maps, and flowcharts. Participants will learn how to apply these tools to enhance productivity, collaboration, and learning in academic and administrative contexts through guided demonstrations and hands-on activities. 

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to: 

• Describe the main features of Zoom AI Companion
• Identify practical scenarios where Zoom AI Companion can enhance productivity, collaboration, or learning outcomes
• Demonstrate how to use Zoom AI Companion features to accomplish specific tasks

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools

Description: This course introduces participants to the Zoom AI Companion and its practical applications within a university setting. The course covers key features such as meeting summaries, real-time Q&A, interactive smart recordings, and whiteboard tools for generating sticky notes, tables, mind maps, and flowcharts. Participants will learn how to apply these tools to enhance productivity, collaboration, and learning in academic and administrative contexts through guided demonstrations and hands-on activities. 

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to: 

• Describe the main features of Zoom AI Companion
• Identify practical scenarios where Zoom AI Companion can enhance productivity, collaboration, or learning outcomes
• Demonstrate how to use Zoom AI Companion features to accomplish specific tasks

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools

Description: This course introduces participants to the Zoom AI Companion and its practical applications within a university setting. The course covers key features such as meeting summaries, real-time Q&A, interactive smart recordings, and whiteboard tools for generating sticky notes, tables, mind maps, and flowcharts. Participants will learn how to apply these tools to enhance productivity, collaboration, and learning in academic and administrative contexts through guided demonstrations and hands-on activities. 

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to: 

• Describe the main features of Zoom AI Companion
• Identify practical scenarios where Zoom AI Companion can enhance productivity, collaboration, or learning outcomes
• Demonstrate how to use Zoom AI Companion features to accomplish specific tasks

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions. 

This course is required to receive a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools  

Duration: 90 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions. 

This course is required to receive a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools  

Duration: 90 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions. 

This course is required to receive a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools  

Duration: 90 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions. 

This course is required to receive a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools  

Duration: 90 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions. 

This course is required to receive a digital badge for the AI Literacy Education Program.  

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools  

Duration: 90 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT