/learn - Create Personalized Learning Path

Create customized learning journeys for any of the 77+ specializations. Get detailed step-by-step paths with resources, projects, milestones, and progress tracking based on your current level and learning pace.

Command Syntax

/learn [specialization] [options]

# Basic usage
/learn react
/learn python
/learn devops

# With level specification
/learn frontend --level beginner
/learn machine-learning --level intermediate
/learn blockchain --level advanced

# With pace specification
/learn golang --pace slow
/learn kubernetes --pace moderate
/learn rust --pace fast

# Combined options
/learn data-engineering --level intermediate --pace fast --focus backend

# Get recommendations
/learn --suggest (recommendations based on interests)
/learn --suggest-from [interest1] [interest2] (suggest paths)

Learning Levels

• Beginner (60-120 hours): Starting fresh, building fundamentals
• Intermediate (120-200 hours): Building on basics, production-ready
• Advanced (120-180 hours): Enterprise-scale, optimization, specialization
• Mastery (100+ hours): Research, leadership, architecture

Pace Options

• Slow (10 hours/week): For working professionals, part-time learners
• Moderate (15-20 hours/week): Balanced learning, full-time students
• Fast (25+ hours/week): Intensive learning, dedicated learners
• Custom (specify hours/week): Fine-tune for your schedule

Output Format

1. Learning Path Overview

• Current skill level assessment
• Target proficiency level
• Estimated timeline
• Key milestones

2. Phase-by-Phase Breakdown

Each phase includes:

• Core concepts to master
• Recommended hours per phase
• Key skills to acquire
• Mini-projects for practice
• Checkpoints for self-assessment

3. Detailed Resource Recommendations

• Curated courses (with links)
• Essential books
• Interactive tutorials
• Community resources
• Practice platforms

4. Project-Based Learning

• Milestone projects (3-5 per phase)
• Project difficulty progression
• Real-world application examples
• Portfolio-building projects

5. Progress Tracking

• Weekly checklist
• Skill milestones
• Estimated completion date
• Bookmark next session

6. Interconnected Learning

• Prerequisite skills needed
• Complementary skills to develop
• Suggested adjacent specializations
• Full learning journey visualization

Usage Examples

Example 1: Frontend Developer (Beginner → Intermediate)

/learn frontend --level beginner --pace moderate

Returns: 4-week path covering HTML/CSS → JavaScript → React with weekly milestones

Example 2: Machine Learning Engineer (Intermediate → Advanced)

/learn machine-learning --level intermediate --pace fast

Returns: 8-week intensive path with deep learning focus and research projects

Example 3: DevOps Engineer (Getting Started)

/learn devops --pace slow

Returns: 12-week part-time path from Linux basics → Kubernetes mastery

Example 4: Smart Contract Developer (Fast Track)

/learn blockchain --level intermediate --pace fast

Returns: 6-week intensive program covering Solidity → DeFi development

Advanced Features

Customization Options

• --start-date - Plan learning with specific start date
• --time-budget - Total hours available for learning
• --focus - Emphasize specific aspect (e.g., --focus performance)
• --style - Learning style preference (visual, hands-on, theory-first)
• --goals - Customize by goal (interview prep, job transition, etc.)

Integration with Other Commands

• /roadmap [role] - First explore the role overview
• /learn [role] - Then create personalized path
• /compare [role1] [role2] - Compare before committing
• /progress [role] - Track your learning journey
• /resources [role] - Find specific materials

Export & Sharing

• Export as PDF/markdown
• Share learning plan with mentor
• Import schedule to calendar
• Sync with learning tracking apps

Weekly Breakdown Example

Week 1: Foundation

• Days 1-2: Core concept videos (5 hours)
• Days 3-4: Interactive tutorials (4 hours)
• Days 5-7: First mini-project (6 hours)
• Weekly total: 15 hours
• Checkpoint: Can build basic X application

Week 2: Advanced Concepts

• Days 1-3: Deep-dive tutorials (6 hours)
• Days 4-5: Problem-solving exercises (4 hours)
• Days 6-7: Milestone project (8 hours)
• Weekly total: 18 hours
• Checkpoint: Understand advanced patterns

Success Metrics

Track your progress with:

• Hours completed vs. planned
• Concepts mastered
• Projects completed
• Checkpoints passed
• Estimated time to proficiency
• Skill acquisition rate

Tips for Success

✅ Stick to your pace - consistency beats intensity ✅ Do hands-on projects - theory + practice = mastery ✅ Join communities - learn with others ✅ Track progress - celebrate milestones ✅ Adjust as needed - adapt learning pace when necessary ✅ Build projects - create portfolio pieces ✅ Seek feedback - code reviews and mentorship accelerate learning

Related Commands

• /roadmap [role] - Explore role overview first
• /compare [role1] [role2] - Compare learning paths
• /resources [role] - Find learning materials
• /progress [role] - Track learning progress

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💡 Pro Tip: Create a learning plan, commit to consistency, and celebrate every milestone completed!