PyTorch or Figma First: What Beginners Should Pick

PyTorch — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 1: Python & NumPy refresher
   - Week 2: PyTorch tensors and autograd
   - Week 3: Build and train a simple model
   - Week 4: Evaluate and deploy the model
12:00 PM — Lunch break
1:00 PM — Practice (Kaggle, tutorials)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read research / docs (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Am I comfortable with Python and NumPy?
□ Do I understand arrays and broadcasting?
□ Have I written 5+ scripts?

Week 2 Review:
□ Do I understand tensors and gradients?
□ Can I build a simple feedforward model?
□ Have I trained on a toy dataset?

Week 3 Review:
□ Can I train and evaluate a model?
□ Do I understand loss and optimization?
□ Have I used DataLoader correctly?

Week 4 Review:
□ Do I know how to save/load models?
□ Have I deployed a small model?
□ Have I documented my project?

Figma — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
   - Week 1: Interface, frames, and components
   - Week 2: Typography, color, and spacing
   - Week 3: Build a landing page
   - Week 4: Build a mobile app flow
12:00 PM — Lunch break
1:00 PM — Design inspiration + review
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Study design systems (30 min)
10:00 PM — Wind down

Week 1 Review:
□ Am I comfortable with frames and components?
□ Do I know auto-layout basics?
□ Have I recreated 3 UI screens?

Week 2 Review:
□ Do I understand spacing and hierarchy?
□ Can I apply a consistent color palette?
□ Have I built a small design system?

Week 3 Review:
□ Have I designed a landing page?
□ Is my design responsive?
□ Have I used components properly?

Week 4 Review:
□ Have I designed a mobile app flow?
□ Have I prototyped interactions?
□ Do I have 2-3 portfolio-ready files?

Choose PyTorch first if:
□ You enjoy math and problem-solving
□ You already know Python or want to learn it
□ You want to build AI models
□ You are interested in research or ML engineering

Choose Figma first if:
□ You enjoy visual and interaction design
□ You want to design apps or websites
□ You are interested in UX and product thinking
□ You want a portfolio-ready skill quickly

Choose both if:
□ You want to build AI-powered products
□ You want to work at a startup
□ You are curious about both design and AI

Comparison:

Python needed?       PyTorch: Yes       Figma: No
Learning curve:      PyTorch: Steep     Figma: Gentle
Time to first output: PyTorch: Weeks    Figma: Days
Career roles:        ML engineer        UI/UX designer
Demand in 2026:      Very high          Very high
Portfolio style:     GitHub + models    Figma files
Best for:            AI enthusiasts     Visual thinkers

PyTorch — 90-Day Roadmap:
Month 1 — Python + PyTorch basics
  Week 1: Python refresher
  Week 2: Tensors & autograd
  Week 3: First model
  Week 4: Training loop & evaluation
Month 2 — Real projects
  Week 5: Image classifier
  Week 6: Text classification
  Week 7: Deploy a small model
  Week 8: Portfolio polish
Month 3 — Interview prep
  Week 9:  DSA & Python Q&A
  Week 10: ML theory Q&A
  Week 11: Mock interviews
  Week 12: Apply to jobs

Milestones:
□ 2-3 PyTorch projects on GitHub
□ Portfolio page with write-ups
□ 30+ applications

Figma — 90-Day Roadmap:
Month 1 — Fundamentals
  Week 1: Interface & components
  Week 2: Typography, color, spacing
  Week 3: Landing page
  Week 4: Mobile screen
Month 2 — Real projects
  Week 5: Design system
  Week 6: App flow
  Week 7: Prototype + interactions
  Week 8: Portfolio polish
Month 3 — Interview prep
  Week 9:  UX case study
  Week 10: Design critique practice
  Week 11: Mock interviews
  Week 12: Apply to jobs

Milestones:
□ 2-3 portfolio-ready Figma files
□ Case study write-ups
□ 30+ applications

Daily Tracker:
Date: _________
☐ Morning routine completed
☐ Deep work session 1 (3 hours)
☐ Deep work session 2 (2 hours)
☐ Practice completed
☐ Portfolio work
☐ Exercise completed
☐ Reviewed progress
☐ Planned tomorrow

Today's Accomplishments:
1. 
2. 
3. 

Tomorrow's Priorities:
1. 
2. 
3. 

Weekly Tracker:
Week: _____ (Month 1 / 2 / 3)

Goals for this week:
1. 
2. 
3. 

Daily Progress:
Mon: ☐☐☐
Tue: ☐☐☐
Wed: ☐☐☐
Thu: ☐☐☐
Fri: ☐☐☐
Sat: ☐☐☐
Sun: ☐☐☐

Weekly Wins:
1. 
2. 
3. 

Challenges & Solutions:
1. 
2. 

Next Week's Goals:
1. 
2. 
3. 

Monthly Tracker:
Month: _____ (1 / 2 / 3)

Monthly Goal:
_______________________________________________

Week 1 Progress: ☐☐☐
Week 2 Progress: ☐☐☐
Week 3 Progress: ☐☐☐
Week 4 Progress: ☐☐☐

Monthly Wins:
1. 
2. 
3. 

Skills Gained:
1. 
2. 
3. 

Portfolio Items:
1. 
2. 
3. 

Applications Sent: _____
Interviews: _____
Offers: _____

Next Month's Goal:
_______________________________________________