πΊοΈ Complete Beginner's AI Roadmap
Month 1-2: Foundation Phase
- Math Basics: Linear algebra, statistics, calculus
- Programming: Python fundamentals
- Free Resources: Khan Academy, Codecademy
- Time Investment: 2-3 hours/day
Month 3-4: Core AI Concepts
- Machine Learning: Supervised, unsupervised learning
- Tools: Pandas, NumPy, Scikit-learn
- Projects: Build 3-5 beginner ML projects
- Courses: Andrew Ng's ML Course
Month 5-6: Specialization & Job Prep
- Deep Learning: Neural networks, TensorFlow
- Portfolio: Create impressive GitHub
- Networking: Join AI communities
- Applications: Start applying for entry-level roles
π Essential Free Resources
- Coursera Machine Learning Course (Free audit)
- Fast.ai Practical Deep Learning
- Kaggle Learn Modules
- YouTube: 3Blue1Brown Neural Networks
πΌ First AI Job Timeline
Realistic expectations for landing your first AI role:
- Month 1-6: Learning and building skills
- Month 7-9: Job applications and interviews
- Month 10-12: Starting your AI career