AI Foundations (New & Improved)
Master the essential skills for working effectively with AI tools like ChatGPT through practical, hands-on techniques that go beyond basic prompting.
- Beginner
- 22 lessons
- 2 hr 52 min
- Taught by Nate Grahek
What you'll learn
- Choose the Right AI Approach Separate chat, automation, projects, research, and custom tools so each AI use case gets the right level of planning and effort.
- Engineer Better Context Provide roles, goals, constraints, examples, and business context that help AI produce specific, useful work instead of generic output.
- Guide AI Conversations Use interview-style prompting, fresh starts, and handoff summaries to guide AI through complex work without losing quality.
- Build Reusable AI Projects Create reusable projects with instructions, knowledge files, templates, and examples for repeated business tasks you can confidently evaluate.
- Run Practical AI Research Scope deep research tasks, synthesize findings, and turn useful insights into decision-ready reports or project knowledge files.
- Create AI-Powered Artifacts Design lightweight dashboards, calculators, and interactive artifacts that reveal patterns, test scenarios, and support better decisions.
Lessons 22 lessons · 2 hr 52 min
Every lesson comes with Pro, $29 a month.
Practical AI Foundations
- Lesson 1: Bootcamp Introduction and January Roadmap 4 min
- Lesson 2: Why AI Feels Inconsistent 7 min
- Lesson 3: Guideposts: Chat, Workflows, and Custom Software 8 min
- Lesson 4: Core Skills: Context, Orchestration, and Evals 9 min
- Lesson 5: Model Choices, Paid Plans, and Reasoning 9 min
- Lesson 6: Prompting with Context and the Talk-It-Out Method 11 min
- Lesson 7: Practical Use Cases and Context Docs 11 min
Context Engineering With Projects
- Lesson 8: Workshop intro and recap 4 min
- Lesson 9: Why AI outputs are generic 7 min
- Lesson 10: Context engineering and private tokens 7 min
- Lesson 11: Building projects and knowledge files 10 min
- Lesson 12: Project instructions and iteration 10 min
- Lesson 13: Choosing the right project use cases 8 min
- Lesson 14: Deep research workflows 8 min
- Lesson 15: Combining deep research with projects 5 min
Building AI Artifacts
- Lesson 16: Welcome and Workshop Overview 4 min
- Lesson 17: Why AI Artifacts Matter 6 min
- Lesson 18: Talk-It-Out Prompting and Context Docs 7 min
- Lesson 19: Building a Sales Forecasting Artifact 8 min
- Lesson 20: PRD-First Workflow for Custom Tools 9 min
- Lesson 21: Filler-Word Coaching Dashboard Example 9 min
- Lesson 22: Best Practices for Prompting and Design 10 min
Your teacher
Nate Grahek
AI Educator @ The Rundown University
Nate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.
At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.