A 6-week open-source roadmap to help developers transition into Applied AI through hands-on projects, tools, and community learning.
This repository is structured as a week-by-week guide, with curated resources, mini-projects, and a focus on building public, portfolio-worthy work. It does not matter if you're self-learning, career-switching, or already in tech, you're welcome .
- Build AI tools and apps
- Learn by shipping small projects weekly
- Use APIs, LLMs, and deployment tools
- Document your journey and grow publicly
Each week includes resources, a project idea, and tools to try out. You’re encouraged to fork the repo and track your progress too
Goal: Build comfort with Python programming and API usage.
-
Python Basics
Python for Everybody – FreeCodeCamp
W3Schools Python -
Git & Version Control
GitHub Skills
Learn Git Branching -
APIs & JSON
Real Python – APIs
Reqres – Fake API
Goal: Use an AI API to build your first working app.
- Build a basic chatbot or text generator
- OpenAI Cookbook
- Hugging Face NLP Course
Goal: Wrap your models into interactive web apps.
-
Text Summarizer App
Streamlit Docs -
Context-Aware Chatbot
LangChain Docs
Goal: Build a custom project based on your interests or background.
- Ideas:
- AI FAQ Bot (Discord, Slack, support logs)
- AI Summarizer for governance/community content
- Haystack – QA Framework
- Deploy via:
Streamlit Cloud
Render (Free Tier)
Goal: Share your journey, write, and certify your learning.
-
Technical Writing
Hashnode
FreeCodeCamp Writing Guide -
Demo Videos
- Record with Loom, TikTok, or OBS
-
Certifications (Optional)
Google AI Essentials
Hugging Face NLP
Microsoft AI Fundamentals
Objective: Position yourself for applied AI roles or freelance opportunities.
-
Portfolio Site or Notion Page
-
Update LinkedIn headline:
“Applied AI | DevRel | Community | Content”
-
Share your work publicly
-
Target roles like:
- AI DevRel
- AI Content Engineer
- Technical Advocate
- AI Researcher
- Applied AI Engineer
📁 collectiveAI/
├── roadmap/
│ ├── week1/
│ ├── week2/
│ ├── week3/
│ ├── week4/
│ ├── week5/
│ └── week6/
├── portfolio/
├── templates/
├── LICENSE
└── README.md
Each week’s folder includes:
*README.md with notes and tasks
- Mini-project or exercise
- Reflections or learnings
This repo is open-source and welcomes contributors!
If you're learning applied AI and want to:
- Start your transition
- Add new tools or resources
- Showcase your projects
- Collaborate with others
Feel free to fork, star, and open PRs 🙌
MIT License — use freely, remix, and build upon it.