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From vibe coding to parenting tips and pro-level prompt engineering, FFU makes learning AI fun, practical, and easy to follow.

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👾  Module
12 lessons
📹  Video

Prompt Engineering Foundations

Learn the core principles and advanced methods of prompt engineering that unlock the full potential of large language models (LLMs) like ChatGPT, Claude, Gemini, and more. From output control and sampling settings to advanced prompting frameworks, this lesson gives you the tools to drive better results, improve consistency, and think like a true AI collaborator.

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Matthew Berman

Matthew Berman is the creator of Forward Future, where he interviews the thinkers and builders shaping the next era of AI. At Forward Future University, he translates those insights into clear, practical lessons to help people understand how AI really works—and how to use it. Known for making complex ideas feel human, Matthew blends storytelling with systems thinking to help learners stay ahead of the curve.

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👾  Module
12 lessons
📹  Video

AI Literacy for Parents: What You Need to Know

Build your foundation in AI with this essential guide for parents. Learn the core concepts behind today’s AI tools, explore how they can benefit your family, understand their limitations, and set realistic expectations for how to use them. This chapter empowers you to confidently evaluate AI technologies and make informed choices for your home.

Our Lessons

Bite-sized, practical lessons to help you use AI in real life.

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🛰️ Intermediate
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Lesson 9: Building a Strategy Game with Vibe Coding - Complete Implementation Guide

This written guide enhances your video viewing experience by providing organized reference materials, implementation checklists, and actionable takeaways for building a complete strategy game without writing code manually. Use this alongside the video for maximum learning impact.

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🛰️ Intermediate
Tutorial
📹  Video

Lesson 8: Building Your First MCP Server

Master the fundamentals of MCP (Model Context Protocol) server development by building a custom tool from scratch. Learn to create, configure, and deploy tools that extend Claude Desktop's capabilities, complete with practical examples and troubleshooting guidance.

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🪐 Beginner

Lesson 7: Prompt Templates by Role

This lesson provides ready-to-use prompt templates tailored for different roles like marketers, sales reps, analysts, support agents, and leaders. Each template is structured for real-world tasks, with variables, tone guidance, and output instructions. Use them as-is or adapt for your own workflows.

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🪐 Beginner

Lesson 6: When to Use Tools, Code, or ReAct Agents

Not every task can be solved with text alone. This lesson teaches you when to escalate from plain prompting to tool use—like writing and executing code, searching for current data, or chaining actions using ReAct-style reasoning. You'll learn when it's necessary, how it works, and what it unlocks.

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🪐 Beginner

Lesson 5: Designing Reusable Prompt Templates

This lesson teaches you how to build reusable prompt templates for your team, product, or workflows. You’ll learn how to design modular prompts with variables, format rules, and built-in instructions that keep outputs consistent and scalable—without starting from scratch every time.

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🪐 Beginner

Lesson 4: Prompt Debugging – What to Do When Your Output Is Wrong

This lesson walks you through the process of identifying and fixing broken prompts. You’ll learn how to spot the most common prompt design mistakes, isolate what’s going wrong, and revise your inputs using a simple framework. Whether you're getting vague answers, hallucinations, or inconsistent formatting, you’ll have the tools to fix it without starting from scratch.

Our Authors

We collaborate with the world’s most innovative AI companies, educators, and creators.

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Nick Wentz

Nick Wentz helps people harness the power of AI to improve everyday life. With a background in tech, media, and education, Nick builds practical, approachable learning experiences that make advanced AI tools accessible to everyone—from busy parents to ambitious professionals. His mission is simple: teach people how to use AI to save time, make smarter decisions, and build a better future.

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Matthew Berman

Matthew Berman is the creator of Forward Future, where he interviews the thinkers and builders shaping the next era of AI. At Forward Future University, he translates those insights into clear, practical lessons to help people understand how AI really works—and how to use it. Known for making complex ideas feel human, Matthew blends storytelling with systems thinking to help learners stay ahead of the curve.

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Jacob Shulman

Jacob Shulman is a teacher, programmer, and musician from Los Angeles. He is the cofounder of Jippity, the only AI-powered, kid-friendly coding workspace on the web.  

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Astro

Born in a simulated training orbit built by the first AGI research collective, Astro was designed to explore not just outer space—but the frontier of intelligence itself. Raised on a steady diet of curiosity, code, and cosmic questions, he now serves as Forward Future’s official ambassador of innovation. With one boot in reality and the other in possibility, Astro guides humans through the AI era with wonder, wisdom, and the occasional well-timed meme.

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