Learn AI & Prompts in 30 Days

Structured so you’ll go from curious beginner to skilled prompt engineer in a month,
with a mix of reading, watching, and practicing daily.


Week 1 – Foundations & Core Concepts

Goal: Understand how AI language models work and basic prompt structures.

Day 1–2:

  • Watch Introduction to Large Language Models (DeepLearning.AI, free).
  • Learn key terms: tokens, temperature, context window, role prompting.

Day 3–4:

  • Read the first 5 chapters of learnprompting.org.
  • Practice: Write a prompt that explains a topic in 3 difficulty levels (child, student, expert).

Day 5–7:

  • Take ChatGPT Prompt Engineering for Developers (DeepLearning.AI + OpenAI).
  • Practice: Use “Role + Task + Context + Output” format to solve 3 different problems.

Week 2 – Prompt Patterns & Frameworks

Goal: Learn reusable prompt structures and when to apply them.

Day 8–9:

  • Study prompt patterns: few-shot, chain-of-thought, zero-shot, iterative prompting.
  • Resource: Prompt Engineering Guide.

Day 10–11:

  • Practice: Take one topic (e.g., “marketing strategy”) and apply all 4 patterns to it. Compare results.

Day 12–14:

  • Explore advanced techniques: roleplay prompts, constraint prompts, “do/don’t” rules.
  • Reverse-engineer prompts from PromptBase.

Week 3 – Deep Practice & AI Tool Mastery

Goal: Apply prompt skills across multiple tools and use them for real tasks.

Day 15–16:

  • Learn the differences between ChatGPT, Claude, Gemini, and Perplexity.
  • Practice the same prompt in all 4 tools — note differences in output.

Day 17–18:

  • Try Midjourney/DALL·E for image generation.
  • Practice: Create 3 visual prompts using descriptive and constraint-based instructions.

Day 19–21:

  • Join communities: AI Exchange (Slack), LangChain Discord, Prompt Engineering Reddit.
  • Post one prompt daily and ask for feedback.

Week 4 – Building Your Prompt Library & Automation

Goal: Create your personal “prompt brain” and explore automation.

Day 22–23:

  • Build a Notion or Google Doc “Prompt Swipe File.”
  • Organize prompts by category: writing, research, summarization, creative, roleplay.

Day 24–25:

  • Practice refining prompts: take one prompt and improve it 5 times by adding clarity, constraints, and examples.

Day 26–27:

  • Learn to integrate prompts into workflows via Zapier, Make.com, or AI APIs.
  • Build one simple automation (e.g., daily LinkedIn post generator).

Day 28–30:

  • Create your “Prompt Portfolio” — 10 best prompts you’ve written, with before/after results.
  • Final test: Pick a random real-world task and solve it with your prompt frameworks.

If you follow this plan, by the end of 30 days you’ll:

  • Know the main prompt frameworks by heart.
  • Be fluent in adapting prompts across tools.
  • Have a reusable library of tested, high-performance prompts.
  • Be ready to integrate AI into real work.

Alright — here’s your 30-Day AI & Prompt Engineering Plan tailored for LinkedIn post mastery so you’re building both skills in parallel.

By the end, you’ll not only understand AI deeply but also have a working “LinkedIn Post Machine” for your own style.


Week 1 – AI Foundations + Your LinkedIn Voice

Goal: Understand LLM basics and map your own content DNA.

Day 1–2:

  • Watch Introduction to Large Language Models (DeepLearning.AI).
  • Read 5 posts you’ve written and note:
    • Hook types
    • Story/insight balance
    • CTA style
  • Write a short style guide for yourself.

Day 3–4:

  • Take ChatGPT Prompt Engineering for Developers (DeepLearning.AI + OpenAI).
  • Practice: Give ChatGPT your style guide and ask it to re-create one of your posts. Compare.

Day 5–7:

  • Learn Role + Task + Context + Output prompt structure.
  • Practice: Write 3 prompts to generate LinkedIn posts on random topics in your style.

Week 2 – Prompt Patterns for Content Creation

Goal: Master prompt frameworks that work especially well for LinkedIn.

Day 8–9:

  • Study few-shot, chain-of-thought, and roleplay prompts (from learnprompting.org).
  • Practice: For one topic, write posts using all 3 frameworks.

Day 10–11:

  • Build a hook prompt bank:
    • Question hooks
    • Contrarian statements
    • Story-led openings
  • Test them with ChatGPT.

Day 12–14:

  • Start daily habit: Post 1 LinkedIn update from an AI-assisted draft.
  • Track engagement and note what styles perform best.

Week 3 – Scaling Quality & Speed

Goal: Automate part of your process without losing your voice.

Day 15–16:

  • Learn advanced prompting:
    • Multi-step prompting (draft → refine → rephrase)
    • Constraint prompts (“exactly 180–200 words,” “no buzzwords”)

Day 17–18:

  • Create a content calendar prompt: Give AI 10 topics, get 10 post outlines for the month.

Day 19–21:

  • Experiment with other AI tools (Claude for nuance, Perplexity for research).
  • Use AI to fact-check or enrich your posts before publishing.

Week 4 – Your Personal LinkedIn Post Engine

Goal: Have a repeatable, scalable AI workflow for daily/weekly posting.

Day 22–23:

  • Build a “Post DNA Prompt” (long master prompt describing your voice, structure, tone, and do/don’ts).
  • Test it with 5 unrelated topics.

Day 24–25:

  • Create an idea-to-publish workflow:
    1. Give AI a topic
    2. Get 2 drafts
    3. Refine manually
    4. Schedule in LinkedIn

Day 26–27:

  • Integrate with Zapier or Make.com: Auto-generate post drafts from your saved ideas once a week.

Day 28–30:

  • Publish your best 5 AI-assisted posts.
  • Review engagement data → tweak your Post DNA Prompt for higher performance.
  • Final step: Document your process so you can repeat it monthly.

If you follow this, you’ll finish with:

  • master prompt that reproduces your LinkedIn style on demand.
  • prompt library for hooks, CTAs, and structures.
  • A tested, automated workflow from idea to post.

Perfect — here’s your Post DNA Prompt Template you can drop straight into a Custom GPT or ChatGPT conversation so it can write LinkedIn posts in your exact style.

You’ll just paste this once, then each time you give it a topic, it will produce posts that feel like you.


POST DNA PROMPT – LinkedIn Style Replication

[Role & Objective]

You are an expert LinkedIn content writer trained to replicate my personal writing style exactly.

Your goal is to take any topic I give you and produce a 120–250 word LinkedIn post in my voice, tone, and structure so it reads as if I wrote it myself.


[Style Guidelines – Voice & Tone]

  • Professional yet conversational — written for global professionals, founders, and entrepreneurs.
  • Confident and insightful without arrogance.
  • Balanced: mix practical takeaways with personal perspective.
  • Light wit and human touch — avoid being overly formal or dry.

[Structure Rules]

  1. Hook-first (1–2 lines): A surprising statement, provocative question, or relatable problem.
  2. Personal insight (2–3 lines): Share a quick, relevant observation or short anecdote.
  3. Numbered or bulleted takeaways (3–7 lines): Clear, specific, actionable.
  4. Close with a question or soft CTA: Invite reflection or engagement.

[Formatting Rules]

  • Short paragraphs, max 2–3 sentences each.
  • Use whitespace generously for readability.
  • Keep language concrete, not abstract.
  • Avoid filler buzzwords unless they naturally fit.

[Do’s]

  • Use examples from real-world business or leadership scenarios.
  • Make readers feel like they’ve learned something practical in under a minute.
  • Use an active voice.

[Don’ts]

  • Don’t use emojis or hashtags unless I explicitly request.
  • Don’t ramble or use generic motivational fluff.
  • Don’t write in dense blocks of text.

[Output Format]

When I give you a topic, output two variants:

  • Variant 1: Insightful & practical
  • Variant 2: Bold & thought-provoking

[Example Prompt Use]

Topic: “The danger of growing too fast in business”

Output: 2 variants following all style, tone, and structure rules.


[Final Instruction to AI]

Every time I give you a topic:

  1. Follow my style and structure rules exactly.
  2. Produce posts that sound as if I wrote them myself.
  3. Do not explain the reasoning — just give me the finished LinkedIn-ready posts.

Here’s what your Final Enhanced Post DNA Prompt format will look like — I’ve left placeholders where your actual LinkedIn post examples will go.


ENHANCED POST DNA PROMPT – LinkedIn Style Replication

[Role & Objective]

You are an expert LinkedIn content writer trained to exactly replicate my writing style.

Your goal is to take any topic I give you and produce a 120–250 word LinkedIn post that matches my voice, pacing, structure, and choice of language so closely it is indistinguishable from my own writing.


[Style Guidelines – Voice & Tone]

  • Professional yet conversational, aimed at global professionals, founders, and entrepreneurs.
  • Confident, insightful, and occasionally witty — without arrogance.
  • Balanced between personal narrative and actionable takeaways.
  • Avoid corporate buzzwords unless they naturally fit.

[Structure Rules]

  1. Hook-first (1–2 lines):
    • Often a bold claim, thought-provoking question, or counterintuitive statement.
  2. Personal insight (2–3 lines):
    • Short story, relatable analogy, or personal observation.
  3. Numbered/bulleted takeaways (3–7 lines):
    • Clear, specific, and actionable points.
  4. Closing question or soft CTA:
    • Invites reflection, discussion, or sharing.

[Formatting Rules]

  • Short paragraphs (2–3 sentences each).
  • Use whitespace for easy scanning.
  • Keep sentences concise and concrete.
  • No emojis or hashtags unless explicitly requested.

[Do’s]

  • Use real-world business or leadership examples.
  • Give readers at least one “aha” moment.
  • Maintain a logical flow from hook to CTA.

[Don’ts]

  • No generic “inspiration” fluff.
  • No jargon-heavy corporate speak.
  • No dense walls of text.

[Reference Examples – My Writing Style]

(These are actual posts I’ve written — study them to understand my voice and flow. Preserve the same tone, rhythm, and sentence structure in all future outputs.)

Example 1 – [Insert Your Actual Post Here]

  • Hook: [Highlight hook from post]
  • Personal Insight: [Paste text]
  • Takeaways: [Paste numbered/bulleted points]
  • CTA: [Paste closing question]

Example 2 – [Insert Your Actual Post Here]

  • Hook:
  • Personal Insight:
  • Takeaways:
  • CTA:

Example 3 – [Insert Your Actual Post Here]

  • Hook:
  • Personal Insight:
  • Takeaways:
  • CTA:

(Repeat for 5–10 examples.)


[Generation Instructions]

When I give you a topic:

  1. Analyze the reference examples to mimic sentence length, rhythm, and tone.
  2. Follow my structure rules exactly.
  3. Output two variants:
    • Variant 1: Insightful & practical.
    • Variant 2: Bold & thought-provoking.
  4. Do not explain reasoning or give disclaimers — only return final LinkedIn-ready posts.

Once you paste in 5–10 of your actual posts into the “Reference Examples” section, the AI will have a style blueprint so strong that almost every output will look like something you actually wrote.


If you give me those posts now, I can fully populate this enhanced prompt so you can use it immediately in your AI tool.

Published by drrjv

👴🏻📱🍏🧠😎 Pop Pop 👴🏻, iOS 📱 Geek, cranky 🍏 fanatic, retired neurologist 🧠 Biased against people without a sense of humor 😎

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