events

Description: This course is designed specifically for SFSU staff looking to integrate generative AI in your daily work. Learn how to prepare for effective and responsible AI use, write goal-oriented prompts to accomplish particular work tasks, evaluate AI-generated content for quality and reliability, and refine outputs to enhance efficiency and productivity in your professional context. Participants will engage in hands-on activities with Microsoft Copilot or ChatGPT Edu to employ strategies in real-world work scenarios, share practical insights and use cases with peers, and assess additional opportunities for integrating generative AI tools in specific practice areas.

This course is an elective for the digital badge for the AI Literacy Education Program, and is recommended specifically for SFSU staff.

Objectives: In this course, you will learn to:  

• Identify appropriate use cases for generative AI in individual work contexts
• Determine what and how to prepare before engaging with generative AI tools
• Develop effective, goal-oriented prompts to accomplish particular work tasks with
  generative AI chatbots
• Evaluate the quality, reliability, and effectiveness of AI-generated content for
  professional use cases
• Assess opportunities to integrate generative AI tools in particular practice areas

Duration: 90 minutes

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

 Description: This course explores image creation with generative AI. Participants will gain a primer on generative AI tools for image creation, considerations for using generative AI, and best practices for creating effective and accessible images for various use cases. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting
appropriate visual styles to generate unique images with ChatGPT, Microsoft Copilot, and Adobe Firefly.

This course is an elective that counts toward receiving a 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 they have access to Adobe apps before attending this workshop.
• Adobe Firefly and Express are accessed via the web. Participants do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:  

• Understand the basics of generative AI technology for image creation
• Write descriptive prompts and use visual style options to generate images
• Employ best practices for creating effective and accessible images

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI tools for image creation

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 necessary

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 an elective that counts toward receiving 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 introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will be expected to engage in hands-on interaction with the Microsoft Copilot chatbot to begin generating practical outputs for personal and professional use cases. 

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:  

• Summarize what generative AI is, how it works, and how it differs from other AI types
• Describe accuracy and ethical considerations associated with generative AI
• Identify task-related opportunities with generative AI
• Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 90 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

The Digital Media Studio / MakerSpace is hosting two open house events, open to all SFSU students, faculty and staff. Learn about 3D printing, virtual reality, podcasting, audio mixing, Internet of Things/micro-controllers/robotics, video/audio equipment checkout. The open house will also feature special presentations of student projects with edge computing, artificial intelligence, Apple Vision Pro, and more.

The Digital Media Studio / MakerSpace is hosting two open house events, open to all SFSU students, faculty and staff. Learn about 3D printing, virtual reality, podcasting, audio mixing, Internet of Things/micro-controllers/robotics, video/audio equipment checkout. The open house will also feature special presentations of student projects with edge computing, artificial intelligence, Apple Vision Pro, and more.

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 an elective that counts toward receiving 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