events

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

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots like Microsoft Copilot. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques such as prompt chaining, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of academic and non-academic contexts.

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

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 90 minutes

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

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots like Microsoft Copilot. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques such as prompt chaining, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of academic and non-academic contexts.

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

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 90 minutes

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

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots like Microsoft Copilot. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques such as prompt chaining, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of academic and non-academic contexts.

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

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 90 minutes

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