Most people do not need another list of AI tools — they need ordered, hands-on tutorials that turn curiosity into repeatable skills. This AI tutorials hub is the home page for AIFree.vn’s step-by-step curriculum: ten lessons from everyday chat assistants to automation, voice, video, and prompt engineering.
Use this page to choose your path, see what each lesson covers, and link back here whenever you add a new skill to your stack.
Table of contents
- Who this hub is for
- Prerequisites
- How to follow the series
- Full curriculum (10 lessons)
- Beginner path (Lessons 1–3)
- Builder path (Lessons 4–6)
- Creator path (Lessons 2, 8–9)
- Advanced path (Lessons 7, 10)
- Suggested schedules
- Tools and budgets
- Pair with other AIFree hubs
- FAQ
Who this hub is for
| Reader | Start here | Goal |
|---|---|---|
| Complete beginner | Lesson 1, then AI Basics in parallel | Use ChatGPT safely and effectively |
| Marketer / writer | Lessons 1, 10, then image Lesson 2 or 3 | Faster drafts + on-brand visuals |
| Developer | Lessons 4, 6, 7 | Code assistance, automation, model basics |
| Founder / ops | Lessons 5, 6 | No-code chatbot + workflow automation |
| Content creator | Lessons 2, 3, 8, 9 | Images, voice, and video pipelines |
You do not need a computer science degree. You do need willingness to test prompts on real work — emails, slides, code, or customer FAQs — not abstract exercises.
Prerequisites
Before Lesson 1, you should:
- Have access to at least one chat assistant (ChatGPT, Claude, or Gemini free tier is enough).
- Read What is Machine Learning? if terms like “model” or “training” feel unfamiliar (15 minutes).
- Decide one primary use case for the next 30 days (e.g. “write client reports faster” or “prototype landing pages”).
Optional but valuable:
- How ChatGPT works — sets expectations about limits and hallucinations
- AI Ethics guide — before using AI on customer or employee data
- Free Claude Course — deeper alternative to Lesson 1 if you prefer Anthropic’s stack
How to follow the series
On every lesson page you will see “In this series” in the sidebar with links to all ten tutorials. Recommended flow:
- Linear — Lesson 1 → 10 if you want full coverage (about 15–25 hours total practice time).
- Pick-and-choose — Jump to the lesson that matches your job; return to Lesson 10 (prompts) when outputs feel inconsistent.
- Hub-first — Bookmark this page; each month add one new lesson to your team wiki.
After each lesson, save one prompt and one output that worked. That small habit beats binge-reading without application.
Full curriculum (10 lessons)
| # | Lesson | Time (practice) | You will be able to… |
|---|---|---|---|
| 1 | How to Use ChatGPT Effectively | 2–3 h | Structure chats, use projects, avoid common failure modes |
| 2 | Midjourney Tutorial for Beginners | 3–4 h | Write prompts, control style, iterate compositions |
| 3 | Create AI Art with DALL·E 3 | 2–3 h | Generate and refine images inside ChatGPT / API workflows |
| 4 | GitHub Copilot: Complete Guide | 4–6 h | Pair-program, test generation, repo-aware assistance |
| 5 | Build an AI Chatbot (No Code) | 4–5 h | Deploy a FAQ or lead bot without writing backend code |
| 6 | AI Automation with Make and n8n | 5–8 h | Connect apps, trigger LLM steps, monitor failures |
| 7 | Fine-Tune AI Models (Beginner Overview) | 3–5 h | Understand when fine-tuning beats prompting; read vendor docs |
| 8 | Create AI Voice with ElevenLabs | 2–4 h | Clone tone responsibly, export audio for video/podcast |
| 9 | AI Video Editing Tutorial | 3–5 h | Cut, caption, and B-roll with AI-assisted editors |
| 10 | Prompt Engineering Masterclass | 4–6 h | System prompts, chain-of-thought, evaluation loops |
Total: roughly 35–50 hours if you complete every exercise; many readers finish their “core four” in under 12 hours.
Beginner path (Lessons 1–3)
Lesson 1 — Chat assistants that actually save time
How to Use ChatGPT Effectively covers account setup, custom instructions, conversation memory vs one-off chats, and when to switch models. You will practice the RCTFC pattern (Role, Context, Task, Format, Constraints) — the same framework expanded in Lesson 10.
Outcomes: draft emails 2× faster, summarize long PDFs with explicit “quote only from source” rules, and recognize when the model invents citations.
Compare tools: ChatGPT vs Claude and our Free Claude Course for a second assistant perspective.
Lesson 2 — Image generation with Midjourney
Midjourney Tutorial for Beginners walks through Discord or web UI (depending on current Midjourney access), aspect ratios, --stylize, seed reuse, and building a personal style reference board.
Outcomes: consistent social thumbnails, product mockups, and blog hero images without hiring a designer for every post.
Also see: Best AI Image Generators 2026 for tool comparison.
Lesson 3 — DALL·E 3 inside ChatGPT workflows
Create AI Art with DALL·E 3 focuses on iterative editing in chat, safety filters, and combining text + image in one thread for marketing assets.
Outcomes: storyboards, slide visuals, and rapid A/B of creative concepts.
Builder path (Lessons 4–6)
Lesson 4 — GitHub Copilot for software teams
GitHub Copilot: Complete Guide explains inline suggestions vs Copilot Chat, .github/copilot-instructions.md, test generation, and reviewing AI-generated diffs before merge.
Outcomes: faster boilerplate, safer refactors when you keep humans on architecture decisions.
Related: Best AI Coding Assistants, Claude Code programming guide.
Lesson 5 — No-code chatbots for support and leads
Build an AI Chatbot (No Code) compares hosted builders (custom GPTs, Botpress-style stacks, embed widgets). You will define knowledge boundaries, escalation to humans, and basic analytics.
Outcomes: a production-ready FAQ bot grounded on your docs — not a generic demo.
Warning: never upload regulated health/financial data without legal review; see AI Ethics.
Lesson 6 — Automation with Make and n8n
AI Automation with Make and n8n teaches triggers (new row in Sheets, form submit, webhook), LLM steps with structured JSON output, and error notifications.
Outcomes: “when lead fills form → summarize → Slack + CRM note” without maintaining custom servers.
Related: AI Tools for Business, AI templates & workflows.
Creator path (Lessons 2, 8–9)
Creators often skip code-heavy lessons and run:
- Midjourney or DALL·E (Lessons 2–3) for visuals
- ElevenLabs (Lesson 8) for voice-over and localization
- AI video editing (Lesson 9) for shorts, captions, and B-roll
Lesson 8 explains voice cloning ethics, pronunciation dictionaries, and exporting formats for YouTube vs TikTok. Lesson 9 covers auto-cut silence, AI captions, and stock B-roll suggestions — always review licensing terms on generated assets.
Related: Best AI Video Generators, AI YouTube channels.
Advanced path (Lessons 7, 10)
Lesson 7 — When fine-tuning beats prompting
Fine-Tune AI Models (Beginner Overview) is conceptual, not a full MLOps course. You will learn:
- Prompting + RAG as the default for most products
- Fine-tuning for tone, format, or domain jargon at scale
- Evaluation sets — why “vibes” are not enough for production
Always cross-check the latest API docs from OpenAI, Anthropic, or open-weight hosts before spending on GPU hours.
Lesson 10 — Prompt engineering as a discipline
Prompt Engineering Masterclass goes deep on system prompts, few-shot examples, decomposition, self-critique loops, and lightweight evals. Treat prompts like versioned code: store in Git, name by use case, and regression-test when models update.
Resources: ChatGPT prompts collection, AI image prompts library.
Suggested schedules
7-day sprint (evenings)
| Day | Focus | Lesson |
|---|---|---|
| Mon | Chat fundamentals | 1 |
| Tue | Prompt patterns (preview) | 10 (sections 1–2 only) |
| Wed | One image tool | 2 or 3 |
| Thu | Apply to real work project | 1 + 10 review |
| Fri | Automation teaser | 6 (one scenario) |
| Sat | Optional code or bot | 4 or 5 |
| Sun | Write 1-page “team AI rules” | Hub + Ethics |
4-week steady pace
- Week 1: Lessons 1, 10 (intro)
- Week 2: Lessons 2–3
- Week 3: Lessons 4–6 (pick two if non-technical)
- Week 4: Lessons 7–9 (pick one) + capstone project
Capstone idea: publish one blog post with AI-assisted outline, human-edited body, AI hero image, and disclosed AI use — models good citizenship and SEO practice.
Tools and budgets
| Tier | Monthly cost (typical) | Covers |
|---|---|---|
| Free | $0 | ChatGPT/Claude free tiers, limited image gens, Copilot trial |
| Pro solo | $20–40 | One chat Pro + one image sub OR Copilot |
| Team | $25–30 × seats | Shared workspaces, audit logs, central billing |
Start free until a lesson blocks you (e.g. Midjourney subscription for Lesson 2). Cancel unused trials on calendar day 28.
Full lists: Free AI tools you must know, AI Resources Collection.
Pair with other AIFree hubs
| Need | Hub |
|---|---|
| Concepts & vocabulary | Complete Guide to AI for Beginners |
| Tool picks & comparisons | Best AI Tools 2026 |
| Prompts, courses, datasets | AI Resources Collection |
| Weekly product news | AI News Hub |
Internal linking rule: every tutorial should link up to this hub and sideways to two related lessons — that structure helps readers and search engines understand the curriculum.
FAQ
Should I take lessons in order?
Lesson 1 and 10 are the highest leverage for everyone. Image lessons (2–3) are interchangeable. Developers can prioritize 4 → 6 → 7; marketers 1 → 10 → 2.
How is this different from the Claude Course?
The Free Claude Course is Anthropic-specific and longer (17 lessons). This hub is tool-neutral and shorter per topic.
Can I use these tutorials in my company LMS?
Link to AIFree.vn pages freely; do not scrape content into paid courses without permission. Summaries and your own examples are fine.
What if a tool changes its UI?
AI products ship weekly. Core patterns (prompt structure, verification, automation logic) age slowly — re-check vendor docs when a button moves.
How do I report an outdated step?
Use Contact — include lesson URL and screenshot; we refresh tutorials on a rolling basis.
Related on AIFree.vn
- Prompt Engineering Masterclass
- How to Use ChatGPT Effectively
- AI Resources Collection
- Complete Guide to AI for Beginners
AIFree.vn — practical AI & IT education. Last updated: June 2026.