🗺️ Workshop Roadmap — Session-by-Session Learning Path

🇮🇷 نسخه فارسی

Overview

This roadmap maps the 15 curriculum modules into a structured workshop timeline. It’s designed for a multi-session workshop series, but modules can also be used independently for self-paced learning.

Bloom's Revised Taxonomy of Educational Objectives

Bloom’s Revised Taxonomy: progressive cognitive progression from remembering AI fundamentals to analyzing, evaluating, and creating capstone projects

Total estimated time: 20–25 hours across all sessions

Pre-Workshop Preparation

Before the workshop begins, participants should:

  • [ ] Create a Google account (for Gemini access)
  • [ ] Have a web browser with internet access
  • [ ] Optional: Create a ChatGPT account (free tier)
  • [ ] Optional: Install VS Code (for coding modules)
  • [ ] Fill out the pre-workshop survey

Time: 30 minutes

Session 1: Foundations & Getting Started

Duration Module Topic
60 min Module 01 — AI Fundamentals What is AI, major models, access methods, free vs paid
15 min ☕ Break
60 min Module 02 — Prompt Engineering How to talk to AI effectively
15 min 🎯 Practice Try prompting exercises from Module 02

Prerequisites: None
Key Takeaway: Understand the AI landscape and write effective prompts

Session 2: Navigating the AI Tool Ecosystem

Duration Module Topic
60 min Module 03 — Tools Directory Comprehensive tool comparison and selection guide
15 min ☕ Break
45 min Module 09 — Access from Iran Account creation, payment alternatives, accessible tools
30 min 🎯 Practice Set up 3 AI tools and compare them

Prerequisites: Session 1
Key Takeaway: Know which tool to use for which task, and how to access them

Session 3: AI for Productivity & Work

Duration Module Topic
60 min Module 05 — Automation & Data Analysis Spreadsheets, data, automation workflows
15 min ☕ Break
60 min Module 04 — AI in Coding AI coding assistants, debugging, building with AI
15 min 🎯 Practice Complete a data analysis or coding exercise

Prerequisites: Sessions 1–2
Key Takeaway: Apply AI to real work tasks

Session 4: Creative AI — Visual & Audio

Duration Module Topic
60 min Module 07 — Image & Video Generation Visual AI tools, prompt techniques for images/video
15 min ☕ Break
60 min Module 08 — Music & Audio Generation Music, voice, TTS tools and techniques
15 min 🎯 Practice Create an image set and a short music clip

Prerequisites: Session 1 (prompt engineering basics)
Key Takeaway: Create professional visual and audio content with AI

Session 5: Building with AI — APIs & RAG

Duration Module Topic
90 min Module 06 — API & RAG Projects API basics, RAG concepts, building AI-powered apps
15 min ☕ Break
45 min 🎯 Practice Make an API call and build a simple RAG demo

Prerequisites: Sessions 1–3 (especially coding module)
Key Takeaway: Understand how to integrate AI into applications

Session 6: Community, Ethics & Reference

Duration Module Topic
30 min Module 10 — Persian AI Community Persian AI communities, resources, content creators
30 min Module 14 — AI Ethics & Safety Responsible AI use, privacy, hallucinations
15 min ☕ Break
30 min Module 11 — Glossary & Cheat Sheets Quick reference materials
15 min Module 12 — FAQ Common questions answered
15 min Module 13 — Prompt Library Ready-to-use prompt templates

Prerequisites: Sessions 1–5
Key Takeaway: Have a reference toolkit and know where to continue learning

Session 7: Capstone Project

Duration Module Topic
30 min Module 15 — Capstone Project Project brief, track selection, rubric review
120 min 🛠️ Project Work Independent work on capstone project
30 min 🎤 Presentations Share results with the group
15 min 🎓 Wrap-up Next steps, certificates, community links

Prerequisites: All previous sessions
Key Takeaway: Demonstrate integrated AI skills

Self-Paced Learning Path

If you’re studying independently, here’s a recommended order:

Week 1: Modules 01 → 02 → 03
Week 2: Modules 09 → 05 → 04
Week 3: Modules 07 → 08
Week 4: Modules 06 → 10 → 14
Week 5: Modules 11 → 12 → 13 → 15 (Capstone)
DIKW Knowledge Hierarchy Pyramid

The DIKW Pyramid: structuring raw data into information, applied knowledge, and strategic AI wisdom

Module Dependency Map

Module 01 (Fundamentals)
  └── Module 02 (Prompt Engineering)
        ├── Module 03 (Tools Directory)
        │     └── Module 09 (Access from Iran)
        ├── Module 04 (AI in Coding)
        ├── Module 05 (Automation & Data)
        │     └── Module 06 (API & RAG)
        ├── Module 07 (Image & Video)
        └── Module 08 (Music & Audio)

Independent (can be taken anytime after Module 01):
  ├── Module 10 (Persian AI Community)
  ├── Module 11 (Glossary & Cheat Sheets)
  ├── Module 12 (FAQ)
  ├── Module 13 (Prompt Library)
  └── Module 14 (AI Ethics & Safety)

Module 15 (Capstone) ← requires Modules 02–08

This curriculum is licensed under CC-BY-4.0.

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