Six Week Roadmap for learning AI-Assisted Technical Writing

Submitted by ashokchandru on

6-Week Learning Roadmap for AI-CMS Deployment

Week 1: Foundations – Linux & Web Basics

Goal: Get comfortable with servers and the command line.

  • Learn basic Linux commands (cd, ls, cat, nano, chmod).
  • Practice editing config files (.env, yml, json).
  • Learn how web apps work: server ↔ database ↔ frontend.
    📚 Resources:
  • Codecademy / freeCodeCamp: Linux Command Line Basics
  • DigitalOcean tutorials

Week 2: Docker & Deployment

Goal: Be able to spin up apps quickly.

  • Install Docker & Docker Compose.
  • Learn how to run containers (e.g., docker run -p 3000:3000 strapi/strapi).
  • Practice with a simple Docker Compose stack (e.g., Node.js + PostgreSQL).
    Resources:
  • Play with Docker (online lab)
  • Docker docs: “Get Started” guide

Week 3: Strapi (CMS Core)

Goal: Build your first CMS backend.

  • Install Strapi with PostgreSQL (via Docker).
  • Create content models (Blog, Author, Media).
  • Explore Strapi admin panel & REST/GraphQL APIs.
    Resources:
  • Strapi docs: Quick Start with Docker
  • YouTube: “Build a Blog with Strapi”

Week 4: Frontend (Next.js + Tailwind)

 Goal: Connect a modern frontend to Strapi.

  • Basics of JavaScript/TypeScript.
  • Next.js basics (pages, API calls, SSR).
  • Fetch data from Strapi REST/GraphQL API.
  • Style with TailwindCSS.
    Resources:
  • Next.js official tutorial
  • TailwindCSS docs

Week 5: AI Integration

Goal: Add basic AI features to CMS.

  • Learn Python basics (functions, APIs, virtual environments).
  • Install Hugging Face Transformers.
  • Run a small LLM locally (Mistral-7B or GPT4All).
  • Write a script to auto-generate:
    • Blog summaries
    • SEO meta descriptions
    • Tags/categories
  • Expose this script as an API (FastAPI or Flask) → connect it to Strapi.
    📚 Resources:
  • Hugging Face course (free)
  • FastAPI docs

Week 6: Semantic Search + Deployment

Goal: Market-ready CMS with AI features.

  • Install Weaviate or Milvus (vector database).
  • Connect it to Strapi content → enable semantic search.
  • Add an AI-powered search bar on frontend.
  • Deploy full stack (Strapi + PostgreSQL + Weaviate + AI API + Next.js) using Docker Compose.
  • Host on DigitalOcean or AWS Lightsail.
    Resources:
  • Weaviate docs (Quickstart)
  • DigitalOcean “Deploy Docker Compose” tutorial

Final Outcome After 6 Weeks

You’ll have a working AI-powered CMS that can:
✅ Manage content via Strapi
✅ Auto-generate text with open-source LLMs
✅ Provide semantic search via vector DB
✅ Serve content through a polished Next.js frontend
✅ Run in Docker, deployable to the cloud

This is marketable as an MVP for small businesses, agencies, or publishers looking for AI-assisted content systems.