Live AI Bootcamp – Sept
Course Overview
This workshop will introduce you to the foundational concepts of Artificial Intelligence (AI), including key definitions, tools, and ethical considerations. Through hands-on exercises and real world case studies, you will develop an understanding of how to integrate AI into your professional work and learn how to use AI tools responsibly.
Pre-Class Checklist:
- Familiarize yourself with basic AI terminology.
- Think about a task or project at work that could benefit from AI assistance.
- Prepare any questions about AI’s role in your field for the group discussion.
Instructor
Rachel M. Kimber
instructor
Rachel M. Kimber, MPA, MS, is a speaker, technology futurist, and nonprofit executive. As Managing Director and Co-Founder of Full Circle Impact Solutions, she champions human-centered, data-informed, and technology-supported grantmaking. Rachel advances nonprofit practices promoting equity, access, inclusion, and innovation. She has served on local nonprofit boards and within international NGOs, global philanthropies, and family foundations. Collaborating with organizations like NTEN, PEAK Grantmaking, TAG, GEO, Northern California Grantmakers, and Philanthropy New York, Rachel builds knowledge-sharing ecosystems. Her work spans conservation, global health, social justice, performing arts, and humanities grantmaking, always seeking creative stakeholder engagement.
Learning Objectives
By the end of this session, you will:
- Understand the basics of AI, including key terms like Generative AI and Machine Learning
- Explore different AI tools and how they can be used in your work
- Learn best practices for prompting AI tools like ChatGPT
- Develop an individual use case for AI in your professional context
- Discuss AI’s ethical implications, including issues of bias and transparency
Course Overview
This session is designed to guide you through the process of creating a culture of learning for AI adoption within your organization. You will explore change management principles, apply AI tools in real-world scenarios, and develop a strategic AI adoption plan that includes training, stakeholder engagement, and policies for ethical AI use.
AI Readiness Checklist:
- Organizational Readiness: Do you have the right tools and infrastructure in place to adopt AI?
- Stakeholder Engagement: Have you communicated the vision for AI adoption to all levels of your organization?
- Ethical Considerations: Are ethical principles for AI use clearly defined?
- Training and Support: What training resources are needed for staff to use AI effectively?
Instructor
Rachel M. Kimber
instructor
Rachel M. Kimber, MPA, MS, is a speaker, technology futurist, and nonprofit executive. As Managing Director and Co-Founder of Full Circle Impact Solutions, she champions human-centered, data-informed, and technology-supported grantmaking. Rachel advances nonprofit practices promoting equity, access, inclusion, and innovation. She has served on local nonprofit boards and within international NGOs, global philanthropies, and family foundations. Collaborating with organizations like NTEN, PEAK Grantmaking, TAG, GEO, Northern California Grantmakers, and Philanthropy New York, Rachel builds knowledge-sharing ecosystems. Her work spans conservation, global health, social justice, performing arts, and humanities grantmaking, always seeking creative stakeholder engagement.
Learning Objectives
By the end of this session, you will:
- Understand the foundational principles for creating a learning culture for AI adoption.
- Develop strategies for managing AI-related change within your organization.
- Learn how to effectively use AI tools like ChatGPT in real-world scenarios.
- Create an AI adoption plan tailored to your organization’s needs.
- Discuss ethical considerations and ensure equitable AI implementation in your workflows.
Course Overview
In this session, we move from AI experimentation to strategic integration. You will learn how to apply AI to your nonprofit’s operations, develop an adoption roadmap, and ensure responsible and ethical AI use. By the end of the session, you will be equipped to strategically incorporate AI into your organization’s workflow and governance.
AI Readiness Checklist:
- Data Infrastructure: Is your data clean, accessible, and ready for analysis?
- Stakeholder Engagement: Have you communicated the AI strategy to staff, donors, and beneficiaries?
- Ethical Guidelines: Do you have clear principles for responsible AI use?
- Training and Upskilling: How will you train your team to effectively use AI tools?
Instructor
Dr. Lisa Springer
INSTRUCTOR
Dr. Lisa Springer is co-founder and President of EIE Partners, a consulting organization focused on promoting equity and innovation and specializing in AI adoption. She also serves as founding Dean of the Division of Lifelong and Professional Studies and Associate Provost at the Jewish Theological Seminary, where she strategizes with senior leaders on innovation and organizational change. Lisa holds a B.A. in Psychology from Barnard College, Columbia University, an M.F.A. in Fiction Writing from Warren Wilson College, and an Ed.D. in Leadership and Innovation from New York University.
Dr. Fiona Jaramillo
INSTRUCTOR
Dr. Fiona Jaramillo is co-founder and Chief Executive Officer of EIE Partners, a consulting organization collaborating with institutions to promote equity and innovation and specializing in AI adoption. EIE focuses on a people-first approach to AI, with an emphasis on change management and the creation of a culture of learning. In addition to her role at EIE Partners, Fiona serves as Senior Associate at Diversified Search Group, a leading executive search consulting firm. Fiona holds a B.A. in Political Science and History from New York University, an M.P.A. from New York University, and an Ed.D. in Leadership and Innovation from New York University.
Learning Objectives
By the end of this session, you will:
- Transition from AI experimentation to full organizational integration.
- Create an AI adoption roadmap tailored to your nonprofit’s needs.
- Understand ethical considerations like privacy, bias, and security in AI implementation.
- Evaluate real-world AI applications in nonprofit settings, particularly in fundraising and volunteer coordination.
- Develop a strategic AI implementation plan, considering tools, governance, and change management.