Guides that turn AI curiosity into real-world skill
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23
Templates, checklists & planners
2
Hands-on workshops
6
Industry playbooks
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Pick a starting point based on your goals. Each path links to the best modules and resources.
You're new to AI and want to understand the basics before diving into practical use. Start here to build a solid foundation.
Best for
Students, professionals exploring AI, anyone with no prior AI experience
You want to master AI tools for maximum productivity without learning to code. Focus on advanced prompting and practical applications.
Best for
Professionals, content creators, knowledge workers seeking AI productivity gains
You're interested in building with AI or understanding how it works under the hood. Explore technical concepts and integration.
Best for
Aspiring developers, technical professionals, anyone interested in AI development
Prompt Templates & Cheat Sheets
Search, skim, and expand only the templates you need. Build a personal library without the scroll fatigue.
Cheat Sheet Library
Search templates, checklists, and planners. Expand only what you need.
Showing 23 of 23 templates
Prompt Patterns
Reusable templates for common AI tasks. Copy, customize, and use these proven patterns.
7 templates
Prompt Patterns
Reusable templates for common AI tasks. Copy, customize, and use these proven patterns.
Pro tip: Use when you need expert-level output with self-correction
You are a [role/expert] with expertise in [domain].
Your task: [specific task description]
Context: [audience, constraints, format requirements]
Examples (if needed): [show 1-2 examples]
After completing the task, critique your own response and identify one way to improve it.Pro tip: Helps AI show its work and catch logical errors
[Your question or problem]
Let's think through this step by step:
1. First, [step 1]
2. Then, [step 2]
3. Finally, [step 3]
Based on this reasoning, [conclusion]Pro tip: Build quality through multiple refinement cycles
[Initial request]
[After receiving response:]
"That's a good start. Now refine it by: [specific improvement 1], [specific improvement 2], and [specific improvement 3]."
[Continue iterating as needed]Pro tip: Generate diverse ideas by forcing different viewpoints
I need ideas for [problem/challenge].
Please provide ideas from three different perspectives:
1. As a [perspective 1, e.g., "creative designer"]
2. As a [perspective 2, e.g., "practical engineer"]
3. As a [perspective 3, e.g., "business strategist"]
For each perspective, give one concrete, actionable idea.Pro tip: Create focused summaries for any content type
Summarize the following [article/document/meeting notes] in [format]:
[Paste content]
Requirements:
- Length: [word count or bullet points]
- Focus on: [key themes or topics]
- Audience: [who will read this]
- Tone: [professional/casual/academic]Pro tip: Improve writing quality without losing your voice
I've written the following [type of content]. Help me improve it while maintaining my voice:
[Paste your draft]
Please:
1. Identify 3 areas that need improvement
2. Suggest specific revisions for each
3. Keep my casual/professional/[your] tone
4. Maintain the original message and intentPro tip: Master new concepts through structured explanation
I want to understand [concept/topic].
Please:
1. Explain it in simple terms (like I'm [age/background])
2. Provide a real-world analogy
3. Give me 3 practical examples
4. Suggest one hands-on exercise I can do to reinforce this
If I'm confused, I'll ask follow-up questions.Responsible AI Checklist
Use this checklist before applying AI to important tasks or decisions.
8 templates
Responsible AI Checklist
Use this checklist before applying AI to important tasks or decisions.
Pro tip: Consider HIPAA, FERPA, NDAs, and company policies
Does this task involve confidential, personal, or proprietary information that shouldn't be shared with an AI tool?
Pro tip: Higher stakes require more verification and human oversight
What are the consequences if the AI is wrong? Is this a high-stakes decision (hiring, medical, legal, financial)?
Pro tip: AI can amplify historical biases in training data
Could this AI application disadvantage certain groups? Does it involve human judgment about people or opportunities?
Pro tip: Never trust AI output without verification, especially for critical tasks
How will I verify the AI's output? Do I have the expertise to catch errors? Is there a human review process?
Pro tip: Many contexts require disclosure of AI assistance
Should others know AI was involved? Am I required to disclose AI use (academic, professional, legal contexts)?
Pro tip: Check before using AI for work-related tasks
Does my organization have an AI use policy? Have I checked what's allowed and what requires approval?
Pro tip: Enterprise versions often have better data protection
What happens to the data I input? Will it be used for training? Can I delete it? Am I using the right version (e.g., Teams vs. consumer)?
Pro tip: Always have an alternative approach ready
If the AI fails or provides poor results, what's my backup plan? Am I overly dependent on this tool?
AI Project Planner
Template for planning your first AI mini-project.
8 templates
AI Project Planner
Template for planning your first AI mini-project.
Pro tip: Example: 'Create a 5-minute podcast script about urban gardening'
What specific problem am I solving or outcome am I creating? Be concrete and measurable.
Pro tip: Define clear, observable outcomes
How will I know this project succeeded? What does 'done' look like?
Pro tip: Check tool availability and costs before starting
Which AI tools will I use? (ChatGPT, Claude, Midjourney, etc.) Are they free or paid?
Pro tip: Start small and build consistency
How much time can I realistically dedicate? Break it into sessions (e.g., 3 sessions of 30 minutes).
Pro tip: Break the project into manageable chunks
List 3-5 concrete steps to finish this project. Make each step actionable.
Pro tip: Anticipate obstacles and plan workarounds
What could go wrong? How will I handle setbacks or unexpected results?
Pro tip: Focus on skill development, not just deliverables
Besides the final output, what do I want to learn from this project?
Pro tip: Reflection deepens learning and builds momentum
Who will I share this with? How will I document what I learned?
Featured modules
Start with these essentials for foundational AI fluency.
Embrace AI with curiosity, humility, and a scientific mindset
Understand the key concepts behind modern AI
Master the art of prompting for text generation
Unleash creative expression with generative AI while understanding how it works and the limits
Workshops & Projects
Build real workflows with step-by-step, hands-on projects.
Learn to create a custom AI workflow for academic and professional research. Use embeddings, vector databases, and retrieval-augmented generation (RAG) to build a system that can answer questions from your documents.
Master the art of using AI as a writing partner. Learn prompt patterns for ideation, outlining, drafting, and revision. Build a personal writing workflow that maintains your voice while leveraging AI assistance.
Industry Applications
Sector-specific playbooks with real workflows and ethical guardrails. Expand for details when you need them.
Healthcare
Enhancing diagnostic accuracy and early detection for better outcomes
- •Early disease detection through medical imaging analysis
- •Drug discovery through protein folding predictions
View details
Healthcare
Enhancing diagnostic accuracy and early detection for better outcomes
- •Early disease detection through medical imaging analysis
- •Drug discovery through protein folding predictions
Expanded Use Cases
- •Early disease detection through medical imaging analysis
- •Drug discovery through protein folding predictions
- •Patient monitoring with AI-powered wearable devices
- •Administrative automation (scheduling, billing, records)
Workflow snapshot
AI assists radiologists by flagging potential issues in scans. Doctors review AI findings, validate accuracy, and make final diagnoses. Systems learn from corrections to improve over time.
Ethical considerations
- ✓Ensure HIPAA compliance and patient privacy protection
- ✓Validate models across diverse populations to avoid bias
- ✓Maintain human oversight for all clinical decisions
- ✓Obtain informed consent for AI-assisted diagnosis
Education
Personalizing learning, automating routine tasks, and expanding access
- •Adaptive learning systems adjusting to individual student pace
- •Automated grading and personalized feedback for assignments
View details
Education
Personalizing learning, automating routine tasks, and expanding access
- •Adaptive learning systems adjusting to individual student pace
- •Automated grading and personalized feedback for assignments
Expanded Use Cases
- •Adaptive learning systems adjusting to individual student pace
- •Automated grading and personalized feedback for assignments
- •Accessibility tools (captions, text-to-speech, translations)
- •Virtual tutoring and 24/7 question answering
Workflow snapshot
Students interact with adaptive platforms that identify knowledge gaps. Teachers review AI insights to personalize instruction and provide targeted support. AI handles routine administrative tasks.
Ethical considerations
- ✓FERPA compliance for student data protection
- ✓Avoid surveillance culture and respect student privacy
- ✓Design for equity - ensure all students can access tools
- ✓Augment teachers, don't replace human connection and mentorship
Creative Industries
Enhancing ideation and production while respecting creativity
- •Generative art for rapid concept development
- •AI-assisted music composition and sound design
View details
Creative Industries
Enhancing ideation and production while respecting creativity
- •Generative art for rapid concept development
- •AI-assisted music composition and sound design
Expanded Use Cases
- •Generative art for rapid concept development
- •AI-assisted music composition and sound design
- •Content generation for marketing campaigns at scale
- •Visual effects and post-production automation
Workflow snapshot
Creators use AI for ideation and rapid prototyping. AI generates variations that humans refine and polish. Final creative direction and artistic vision remain human-controlled.
Ethical considerations
- ✓Respect intellectual property and copyright laws
- ✓Credit human artists and contributors appropriately
- ✓Transparent disclosure of AI-generated content
- ✓Fair compensation models for training data creators
Business & Operations
Optimizing operations and customer engagement for efficiency
- •Targeted marketing with personalized customer campaigns
- •Lead scoring and sales process automation
View details
Business & Operations
Optimizing operations and customer engagement for efficiency
- •Targeted marketing with personalized customer campaigns
- •Lead scoring and sales process automation
Expanded Use Cases
- •Targeted marketing with personalized customer campaigns
- •Lead scoring and sales process automation
- •24/7 customer service through intelligent chatbots
- •Predictive analytics for demand forecasting
Workflow snapshot
Marketing teams use AI to generate campaigns at scale and personalize messaging. Sales automation scores leads and prioritizes outreach. Customer service combines chatbots with seamless human escalation.
Ethical considerations
- ✓Transparent data collection and usage policies
- ✓Respect customer privacy and obtain proper consent
- ✓Fair treatment in automated decision-making
- ✓Clear disclosure when customers interact with AI
Scientific Research
Accelerating discovery and analysis across disciplines
- •Protein structure prediction (AlphaFold) for biology
- •Climate modeling and environmental simulation
View details
Scientific Research
Accelerating discovery and analysis across disciplines
- •Protein structure prediction (AlphaFold) for biology
- •Climate modeling and environmental simulation
Expanded Use Cases
- •Protein structure prediction (AlphaFold) for biology
- •Climate modeling and environmental simulation
- •Astronomical data analysis and pattern detection
- •Drug compound screening and material discovery
Workflow snapshot
Researchers use AI to analyze massive datasets and identify patterns. Models generate hypotheses that scientists test experimentally. AI handles computational heavy-lifting while humans provide domain expertise.
Ethical considerations
- ✓Maintain scientific rigor and reproducibility standards
- ✓Validate AI predictions through experimental verification
- ✓Transparent reporting of AI methods and limitations
- ✓Avoid over-reliance on black-box models without understanding
Legal Services
Streamlining research and document review for efficiency
- •E-discovery and contract analysis at scale
- •Legal research and case law precedent review
View details
Legal Services
Streamlining research and document review for efficiency
- •E-discovery and contract analysis at scale
- •Legal research and case law precedent review
Expanded Use Cases
- •E-discovery and contract analysis at scale
- •Legal research and case law precedent review
- •Document drafting and automated red-lining
- •Predictive case outcome analysis for strategy
Workflow snapshot
Lawyers use AI to search case law and identify relevant precedents. AI flags contract clauses requiring review. Attorneys validate findings, apply legal reasoning, and make strategic decisions.
Ethical considerations
- ✓Maintain attorney-client confidentiality and privilege
- ✓Ensure explainability for court compliance requirements
- ✓Human oversight required for all legal advice and strategy
- ✓Duty of competence requires understanding AI tool limitations
Want deeper industry insights?
Explore Module 9 for comprehensive sector-specific guidance, ROI analysis, and change management strategies.
View Module 9: AI in Your IndustryLooking for calculators?
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Ready to Put AI into Practice?
Explore our workshops or dive into Module 9 for sector-specific strategies and ROI analysis.