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Grant Writing Fundamentals (With AI Tips)
Grant Writing Fundamentals (With AI Tips)
Curriculum
8 Sections
79 Lessons
Lifetime
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Module 1: Laying the Groundwork: Introduction to Grants & AI-Powered Readiness
11
1.1
Lesson 1: Understanding the Grant Landscape
1.2
Lesson 1: AI Tool Integration: Using ChatGPT to Create Your Custom Grant Terminology Database
1.3
Lesson 1: Hands on Activity
1.4
Lesson 2: Grant Readiness for Your Organization
1.5
Lesson 2: AI Tool Integration: Demo: Using Claude to create a customized grant readiness assessment
1.6
Lesson 2: Hands-on Activity
1.7
Lesson 3: Introduction to AI in Grant Writing
1.8
Lesson 3: AI Tool Integration – Demo 1 Using Grammarly Free to improve grant language
1.9
Lesson 3: AI Tool Integration – Demo 2 Using Perplexity AI for initial research
1.10
Lesson 3: Hands-on Activity
1.11
End-of-Module Real-World Application Exercise
Module 2: Smart Prospecting: Finding Funders with Traditional & AI Tools
17
2.1
Lesson 1: Defining Your Funding Needs and Keywords
2.2
Lesson 1: AI Tool Integration: Demo: Using ChatGPT to expand your keyword list
2.3
Lesson 1: Hands-on Activity
2.4
Lesson 2: Introduction to Prospect Research
2.5
Lesson 2: AI Tool Integration: Demo: Using Perplexity AI to research funder types in your region To use Perplexity AI for researching funder types in your region, you begin by starting the conversation with your first prompt. When you go to Perplexity AI, ask it a clear and specific question. For example, instead of a general query, you might ask, “What are the major family foundations that fund K-12 education initiatives in [Your Region], including the [Your City/Region] area?” or more specifically, “Are there family foundations in [Your County], [Your State], that support literacy programs for elementary students?” Next, look at what the AI finds in its initial review. Perplexity AI will process your question and give you an answer in a narrative format, often listing potential foundations and providing a brief snippet about them. It usually also shows you the sources it used. For the [Your Region] example, it might list a few foundation names and perhaps mention if their focus is on education generally, or something more specific. Then comes the crucial step of digging deeper to extract and verify key information. The AI gives you clues, but you need to become a detective. Extract the names of foundations Perplexity AI provides. Then, verify this information by going to the source. For each foundation name, open a new browser tab and search for its official website. Once on the foundation’s website, check their funding priorities, confirm their geographic focus (do they fund in your specific area?), look for guidelines and deadlines, and review past grantees. This last step is vital as it shows the actual types of projects and organizations they support. After your initial review, you can ask more questions as follow-up prompts to deepen your research. Based on what you find, or if the initial search was too broad, you can ask Perplexity AI to narrow things down or explore related avenues. For instance, if Perplexity mentioned the “ABC Family Foundation,” you could ask, “Tell me more about the ABC Family Foundation’s specific grantmaking for K-12 education in [Your Region].” Or to broaden the focus, “What community foundations serve [Your City/Region], [Your State], and support youth development programs?” Remember to always take the new names or information from these follow-up questions and repeat the verification step by going directly to the potential funder’s website.
2.6
Lesson 2: Hands-on Activity
2.7
Lesson 3: Leveraging Traditional Research Tools
2.8
Lesson 3: AI Tool Integration: Demo: Using ChatGPT to analyze a foundation’s website content
2.9
Lesson 3: Hands-on Activity
2.10
Lesson 4: AI-Powered Prospect Research
2.11
Lesson 4: AI Tool Integration: Demo 1 Using Perplexity AI for comprehensive funder research
2.12
Lesson 4: AI Tool Integration: Demo 2 Using Claude to compare potential funders
2.13
Lesson 4: Hands-on Activity
2.14
Lesson 5: Initial Funder Vetting
2.15
Lesson 5: AI Tool Integration: Demo: Using ChatGPT to create a custom funder tracking system
2.16
Lesson 5: Hands-on Activity
2.17
End-of-Module Real-World Application Exercise
Module 3: Decoding Funder Priorities & Making Initial Connections (AI-Assisted)
19
3.1
Lesson 1: Deep Dive into Funder Guidelines (RFPs/NOFOs)
3.2
Lesson 1: AI Tool Integration: Using ChatGPT to extract and organize RFP requirements
3.3
Lesson 1: Hands-on Activity
3.4
Lesson 2: AI for Guideline Analysis
3.5
Lesson 2: AI Tool Integration: Demo 1 Using ChatGPT to summarize long RFP sections
3.6
Lesson 2: AI Tool Integration: Demo 2 Using Claude to compare your project against funder priorities
3.7
Lesson 2: Hands-on Activity
3.8
Lesson 3: Beyond the Guidelines: Further Funder Research
3.9
Lesson 3: AI Tool Integration: Demo Using Perplexity AI for funder personnel research
3.10
Lesson 3: Hands-on Activity
3.11
Lesson 4: Initial Outreach and Relationship Building
3.12
Lesson 4: AI Tool Integration: Demo 1 Using ChatGPT to draft initial outreach emails
3.13
Lesson 4: AI Tool Integration: Demo 2 Using Claude to prepare for program officer calls
3.14
Lesson 4: Hands-on Activity
3.15
Lesson 5: AI for Communication Assistance
3.16
Lesson 5: AI Tool Integration: Demo 1 Using Grammarly Free for professional communication
3.17
Lesson 5: AI Tool Integration: Demo 2 Using ChatGPT to summarize meeting notes
3.18
Lesson 5: Hands-on Activity
3.19
Lesson 5: End-of-Module Real-World Application Exercise
Module 4: Building Your Case: Crafting the Core Proposal Narrative with AI Support
15
4.1
Lesson 1: The Statement of Need (Problem Statement)
4.2
Lesson 1: AI Tool Integration: Demo 1 Using Perplexity AI for data research
4.3
Lesson 1: AI Tool Integration: Demo 2 Using ChatGPT to structure the need statement
4.4
Lesson 1: Hands on Activity
4.5
Lesson 2: The Project Description
4.6
Lesson 2: AI Tool Integration: Demo 1 Using ChatGPT to generate SMART objectives
4.7
Lesson 2: AI Tool Integration: Demo 2 Using Claude to create a project timeline
4.8
Lesson 2: Hands-on Activity
4.9
Lesson 3: Ensuring a Logical Flow and Persuasive Argument
4.10
Lesson 3: AI Tool Integration: Demo Using ChatGPT to create a logic model
4.11
Lesson 3: Hands-on Activity
4.12
Lesson 4: Tailoring the Narrative to the Funder
4.13
Lesson 4: AI Tool Integration: Demo: Using Claude for narrative customization
4.14
Lesson 4: Hands-on Activity
4.15
Lesson 4: End-of-Module Real-World Application Exercise
Module 5: Showcasing Impact & Credibility: Evaluation, Organization Details & AI Refinement
5
5.1
Lesson 1: The Evaluation Plan
5.2
Lesson 2: Organizational Information/Background
5.3
Lesson 3: Attachments and Supporting Documents
5.4
Lesson 4: AI for Overall Refinement and Consistency
5.5
End-of-Module Real-World Application Exercise Duration: “Organizational Credibility & Impact Portfolio”
Module 6: The Numbers Story: Developing Budgets and AI-Assisted Narratives
4
6.1
Lesson 1: Fundamentals of Project Budgeting
6.2
Lesson 2: Creating the Project Budget Spreadsheet
6.3
Lesson 3: Writing the Budget Narrative (Budget Justification)
6.4
End-of-Module Real-World Application Exercise: “Complete Project Budget Package”
Module 7: Polishing & Submitting: AI for Review, Final Assembly, and Submission Best Practices
4
7.1
Lesson 1: Crafting a Powerful Executive Summary/Abstract
7.2
Lesson 2: The Critical Human Review Process
7.3
Lesson 3: Formatting, Presentation, and Submission
7.4
End-of-Module Real-World Application Exercise: “Ready-to-Submit Proposal Elements & Checklist”
Module 8: Beyond Submission: Responding to Funders & Ethical AI Use in Stewardship
4
8.1
Lesson 1: The Waiting Game & Responding to Decisions
8.2
Lesson 2: Grant Reporting & Stewardship with AI Support
8.3
Lesson 3: Ethical AI Use Throughout the Grant Lifecycle
8.4
End-of-Module Real-World Application Exercise: “Post-Submission Strategy & Responsible Grant Management Plan”
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