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Non-Profit AI Education Workshops

How we delivered our signature 'We Ask AI to Do Things with Our Data' workshop series to diverse audiences, from high school students to business owners, with outstanding results

January 28, 20257 min readBy Jesse Alton
Originally published on Virgent AI Case Studies

Non-Profit AI Education Workshops

The Challenge

A regional non-profit organization serving multiple demographics across different areas needed to provide practical AI education to diverse audiences with varying technical backgrounds and learning objectives.

Audience Diversity

  • High school students: Outstanding students from across Maryland seeking advanced learning opportunities

  • College students and business owners: Mixed cohort with different experience levels and applications

  • Geographic spread: Participants from multiple regions with different industry focuses

  • Varied backgrounds: From complete beginners to those with some technical experience

Educational Requirements

  • Practical applicability: Participants needed skills they could use immediately

  • Accessible content: Complex AI concepts made understandable for non-technical audiences

  • Engaging delivery: Maintaining interest across long workshop sessions

  • Actionable outcomes: Clear next steps for continued learning and application

The "Demystification" Challenge

Many participants came with preconceived notions about AI - either intimidated by the complexity or skeptical about practical applications. The challenge was cutting through the noise and hype to deliver real, usable knowledge.

The Solution

We delivered our signature "We Ask AI to Do Things with Our Data" workshop series, adapted for different audience needs while maintaining consistent quality and practical focus.

Workshop Framework

Core Structure: "We Ask AI to Do Things with Our Data"

  • "We Ask": Understanding what AI can do and how to interact with it

  • "Ask": Prompt engineering and effective AI communication

  • "AI": Model selection, capabilities, and limitations

  • "To Do Things": Practical applications, automation, and problem-solving

Audience-Specific Adaptations

High School Student Cohort

  • Future-focused applications: AI skills for college and early career success

  • Creative exploration: Using AI for projects, research, and learning enhancement

  • Ethical considerations: Responsible AI use in academic and personal contexts

  • Career preparation: Understanding AI's role in future job markets

College Students and Business Owner Cohort

  • Professional applications: AI tools for business efficiency and growth

  • Competitive advantage: Using AI to differentiate in their fields

  • Implementation strategies: Practical steps for adopting AI in existing workflows

  • ROI considerations: Understanding costs, benefits, and realistic expectations

Delivery Excellence

Interactive Workshop Design

  • Hands-on practice: Real AI tools, not just theoretical discussions

  • Live demonstrations: Showing actual AI implementations and results

  • Participant exercises: Everyone practices with guidance and support

  • Q&A integration: Addressing specific questions and use cases throughout

Engaging Presentation Style

  • Real-world examples: Actual projects and outcomes, not hypothetical scenarios

  • Plain language explanations: Technical concepts made accessible

  • Interactive elements: Keeping participants engaged throughout long sessions

  • Practical takeaways: Specific tools and techniques to use immediately

The Results

Outstanding Reception

The workshops received exceptional feedback across both cohort groups, with participants providing overwhelmingly positive reviews.

Specific Feedback Highlights

Program Impact

"The fellows found the session incredibly valuable, and your workshop was a hit. Our fellows provided an overwhelming praise and positive feedback to this new session for the program and we could not pull it off without your help and support! Your specific workshop was the highest rated presentation of the day."

Student Engagement

"I thought Jesse's workshop was very interesting and the most engaging of the fellowship so far."

Practical Learning

"I learned about problem solving using a structured framework thanks to Jesse's workshop."

Creative Problem-Solving

"I found his information to be very helpful and the whole process of solving issues within a company was actually very outside the box."

Immediately Applicable Skills

"Love the Figma LDJ workshop. I will be using that in my career and in my business."

Measurable Success Metrics

  • Highest-rated session: Outperformed other presentations in the program

  • Universal engagement: Strong participation across diverse audience

  • Practical application: Participants immediately began using learned techniques

  • Knowledge retention: Clear understanding of structured problem-solving frameworks

Key Insights

Why This Workshop Format Works

Universal Framework

The "We Ask AI to Do Things with Our Data" structure provides a memorable, logical progression that works across different audiences and applications.

Practical Focus

  • Real tools: Using actual AI platforms, not just discussing concepts

  • Immediate application: Skills participants can use right away

  • Concrete examples: Specific use cases relevant to their situations

  • Actionable outcomes: Clear next steps for continued learning

Engaging Delivery

  • Authentic expertise: Speaking from real experience, not theoretical knowledge

  • Interactive format: Participants actively engaged, not passive listeners

  • Relevant examples: Applications that resonate with each audience

  • Supportive environment: Encouraging questions and experimentation

The "Practitioner Advantage" in Education

Credible Teaching

  • Real experience: Actually using AI tools daily in professional practice

  • Current knowledge: Up-to-date with latest developments and best practices

  • Practical perspective: Understanding what works and what doesn't

  • Industry insight: Knowledge of how AI is actually being used in business

Student Connection

  • Authentic communication: Students recognize genuine expertise

  • Relevant applications: Examples from real projects and implementations

  • Honest limitations: Clear about what AI can and cannot do

  • Practical guidance: Advice based on actual experience, not theory

Educational Impact Across Demographics

High School Students

  • Early exposure: Foundational AI literacy before entering college or workforce

  • Creative exploration: Using AI to enhance learning and personal projects

  • Ethical foundation: Understanding responsible AI use from the beginning

  • Future preparation: Skills that will be valuable throughout their careers

College Students and Business Owners

  • Immediate application: Tools they can use in current studies or businesses

  • Competitive advantage: AI skills that differentiate them in their fields

  • Strategic thinking: Understanding how AI fits into broader goals

  • Implementation confidence: Knowledge to actually adopt AI, not just talk about it

Business Value

For Non-Profit Organizations

  • Program differentiation: Offering cutting-edge, practical AI education

  • Participant satisfaction: High-quality workshops that exceed expectations

  • Community impact: Providing valuable skills to diverse regional audiences

  • Partnership value: Access to expert knowledge and proven educational content

For Participants

  • Practical skills: Immediately applicable AI knowledge and techniques

  • Competitive advantage: Understanding AI while others are still catching up

  • Reduced intimidation: Confidence to explore and use AI tools

  • Structured approach: Framework for continued learning and application

For the Broader Community

  • AI literacy: More people with practical understanding of AI capabilities

  • Economic development: Skilled individuals who can leverage AI for growth

  • Innovation culture: Encouraging experimentation and adoption of new technologies

  • Reduced fear: Replacing AI anxiety with informed understanding

Long-term Vision

Building AI-Literate Communities

Our goal is to help democratize AI education by making practical knowledge accessible to diverse audiences:

  • Inclusive education: AI learning opportunities for people of all backgrounds

  • Practical focus: Skills that actually matter, not just theoretical knowledge

  • Regional development: Building AI capacity across different communities

  • Sustainable learning: Framework that participants can continue to build upon

Educational Partnership Model

  • Adaptable content: Workshop series that can be customized for different audiences

  • Proven results: Track record of successful delivery and positive outcomes

  • Ongoing support: Continued relationship for follow-up questions and advanced topics

  • Community building: Connecting participants with continued learning opportunities

The Bigger Picture

Beyond the Hype

These workshops demonstrate that successful AI education requires:

  • Real expertise: Teachers who actually use AI in professional practice

  • Practical focus: Skills participants can apply immediately

  • Accessible delivery: Complex concepts made understandable

  • Supportive environment: Encouraging exploration and questions

Sustainable AI Adoption

By providing quality AI education to diverse audiences, we're contributing to:

  • Informed adoption: People making smart decisions about AI use

  • Reduced waste: Fewer failed AI initiatives due to better understanding

  • Innovation culture: Communities ready to explore and implement AI solutions

  • Economic development: Skilled individuals who can leverage AI for growth

This case study showcases our educational approach: delivering practical AI knowledge to diverse audiences with consistently excellent results, building AI literacy across communities.

📍 Originally published on Virgent AI Case Studies
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Jesse Alton

Founder of Virgent AI and AltonTech. Building the future of AI implementation, one project at a time.

@mrmetaverse

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