FreeAbout the Course

Course Overview: The Practical AI Playbook

5 min·Beginner → Advanced·
Course Overview: The Practical AI Playbook

The problem this course solves: the gap between "I have access to AI" and "I get dependable, professional results from AI on demand."

Most people use AI like a search box. They type a vague request, get a generic answer, and conclude "AI isn't that good." The model is capable — it just needs the right instructions and context. The Practical AI Playbook teaches you exactly how to give them.

A written, continuously-updated program built around real tasks and real, unedited AI outputs — so you see exactly what works and why. Unlike a static video course that goes stale the week a new model ships, you buy once and it stays current as the tools evolve.


What you'll be able to do

  • Upgrade any vague prompt into an expert prompt using a repeatable 5-block method
  • Apply role, context, few-shot examples, and output formatting deliberately
  • Spot and prevent AI mistakes — and verify what the AI generates before you rely on it
  • Build end-to-end workflows for research, writing, coding, and marketing
  • Connect AI to your tools with MCP and automate multi-step tasks with agents
  • Ship working automations (n8n/Make) that save hours every week
  • Turn business processes into AI SOPs your team can follow

Who it's for

Audience What you'll get
Beginners A confident start — what AI is, how to talk to it, first useful results
Intermediate learners A structured method to go from "okay" prompts to expert, reliable output
Professionals Real workflows for writing, research, coding, marketing — plus automation
Students Faster learning, research, and writing with techniques you actually understand
Career changers A portfolio of AI workflows that demonstrate in-demand, practical skills
Founders & small teams AI business systems and SOPs you can deploy without hiring

Prerequisites: none for foundations. A computer, internet connection, and a free account on Claude, ChatGPT, or Gemini. No coding or technical background required to start.


The 7 modules

Module Title Tier Study time
1 AI Foundations Free / Starter 2–3 hrs
2 Claude Setup & Power Features Starter 2–3 hrs
3 Prompt Engineering (pillar + lessons) Free / Starter 4–6 hrs
4 Real Workflows Starter 4–5 hrs
5 Advanced Claude (MCP, Code, API, Agents) Pro 5–7 hrs
6 Automation Systems Pro 5–7 hrs
7 AI for Business Pro 3–4 hrs

Total — Starter: ~12–17 hours · With Pro: ~25–35 hours. Self-paced. A lesson takes 10–15 minutes to read; applying it takes as long as the task.

Module 1 — AI Foundations

Understand what AI/LLMs actually are and why context determines quality. Topics: what is an LLM · context windows · hallucinations · memory & Projects. Assignment: document one task where AI helped and one where it failed — and why.

Module 2 — Claude Setup & Power Features

Configure your workspace for repeatable, high-quality work. Topics: Projects (reusable context) · Artifacts · Extended Thinking · web search & files. Project: a personal "AI workspace" you reuse daily.

Module 3 — Prompt Engineering *(the heart of the course)*

Turn any weak prompt into an expert one, on purpose. Topics and lessons:

Project: build your personal Prompt Library.

Module 4 — Real Workflows

Chain prompts into complete, repeatable workflows. Topics: research workflow · writing workflow · coding-with-AI workflow · marketing workflow. Project: a documented, reusable workflow for your most common task.

Module 5 — Advanced Claude *(Pro)*

Extend AI beyond chat. Topics: MCP (connect AI to your tools) · Claude Code · the API for non-developers · agents. Project: an agent or MCP-powered automation for a real task.

Module 6 — Automation Systems *(Pro)*

Build systems that run with minimal input. Topics: weekly AI-update pipeline (n8n/Make) · content repurposing (1 → 5) · a personal "second brain." Project: an automation that saves you a recurring weekly task.

Module 7 — AI for Business *(Pro)*

Apply AI at the level of processes, not just tasks. Topics: AI SOPs for teams · support/sales assist · build-vs-buy decisions. Project: an AI-enabled SOP a new hire could follow.


What you'll walk away with

Every project is portfolio-ready — something you can show, reuse, or deploy:

  • 🧩 A personal Prompt Library built with the 5-block method
  • 🔄 A documented, reusable workflow for your most common task
  • ⚡ A working automation (n8n/Make) that saves a recurring weekly task (Pro)
  • 📋 An AI SOP a teammate could follow (Pro)
  • 📥 Cheat-sheets you keep: Prompt Upgrade, Role Prompting Library, Context Checklist

Pricing tiers

Tier Price What's inside
Free $0 Foundations, the Prompt Engineering pillar, downloadable cheat-sheets
Starter $39 Full core course (Modules 1–4) + Prompt & Workflow Libraries + templates
Pro $149 Everything in Starter + advanced workflows, automation, MCP, AI business systems
Premium $499 Everything in Pro + private community, monthly coaching, implementation help

Not sure where to start? Start free — every paid tier builds on the last.


What makes this different

Most AI courses The Practical AI Playbook
Format Video that goes stale Written, searchable, updated forever
Approach Buttons and menus A transferable method that survives model updates
Examples Cherry-picked demos Real, unedited AI outputs — including the failures
Outcome "I watched a course" Reusable libraries, workflows, and automations you keep

Common questions

Do I need coding experience? No. Free and Starter need zero code; even the automation modules use no-code tools with copy-paste setup.

Which AI tool do I need? Any of Claude, ChatGPT, or Gemini. Examples use Claude; the methods transfer directly to any tool.

Will it go out of date? No. "Updated forever" is core. When tools change, affected lessons are revised and dated.

Is there a certificate? Yes — a Certificate of Completion is issued when you finish the required module projects.


Next: Start with Module 3 — Prompt Engineering → Or browse all lessons →

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