Pick your next path

Newbie to Tech · Step 8 of 8 · about 5 minutes to read, 30 minutes to do Practice project: your finished tracker, live on GitHub Pages. No new branch today.

Kenneth's story of how he switched is coming soon.

Do this now (you can read the rest after)

1. Open your live tracker link from Step 5.
2. Write one page with three headings:
   • What I built: your link, plus one line per step you finished.
   • What I liked most: the page and how it looks? The Git teamwork? The chart code? The AI coach?
   • What's next: pick one path from the table below, for the next 3 months.
3. Open that path's first free lesson and do 20 minutes of it today.

Check you did it: you have your one page, and you've finished the first lesson (or part of it) on your chosen path.

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Why this matters

You started not knowing what a diff was. Now you have a live web app, built with an AI tool, saved in Git, merged through pull requests, with an AI helper. That's real. The next step is to go deeper in one direction, not wider in ten.

Which part did you enjoy? Pick a path

If you liked…	Try this path	Where to start (free)
Making the page look and work well (Steps 1, 2, 5)	Web development	The Odin Project: https://www.theodinproject.com/
The chart code, and writing your own line (Step 6)	Programming with Python	CS50's Introduction to Programming with Python (Harvard): https://cs50.harvard.edu/python/
The AI coach (Step 7)	Practical AI and machine learning	fast.ai, Practical Deep Learning: https://course.fast.ai/
Not sure yet, or want to see the whole map	Look at all the roads	roadmap.sh, step-by-step guides for many tech roles: https://roadmap.sh/
You want a structured AI programme in Singapore	AI apprenticeship	AI Singapore's AIAP: https://aiap.sg/ (check the current entry rules and dates on their site)

Tip: fast.ai and AIAP go faster if you know some Python first. CS50P or Kaggle Learn (https://www.kaggle.com/learn) is a good bridge.

How to keep going without getting lost

1. One path, 3 months. Switching every week feels busy but goes nowhere.
2. Keep using your habits: plan first, approve, commit, open a PR, read the diff.
3. Keep building your tracker. Add a habit you choose, a monthly view, or a dark mode. Each one is a branch, a PR and a merge.
4. Learn with your AI tool, not instead of it. Ask for hints, like in Step 6. Type some code yourself every week.
5. Show your work. Your GitHub profile and live link show what you can do.

A one-page template

What I built
- Live link: https://YOUR-NAME.github.io/mood-habit-tracker/
- Step 3: saving with localStorage (my first commit)
- Step 4: fixed a merge conflict with a partner
- Step 6: week chart + my own "X of 7 days" line
- Step 7: weekly coach note

What I liked most
- ...

What's next (3 months)
- Path: ...
- First lesson: ...
- Time each week: ...

Words from this step

Word	What it means
Path	One direction to learn in, like web, Python or AI
Portfolio	Things you built that you can show people
Roadmap	A list of skills to learn, in order

Go deeper

• roadmap.sh: https://roadmap.sh/
• The Odin Project: https://www.theodinproject.com/
• CS50P: https://cs50.harvard.edu/python/
• fast.ai: https://course.fast.ai/
• AIAP: https://aiap.sg/

You finished the Newbie to Tech track. Want the no-code habits too? See Track 1: One Useful Task on AI Newbie.