Learning Paths
Structured learning journeys to master AI/ML skills at your own pace. Each path includes curated resources, hands-on projects, and progress tracking.
Beginner
Python for AI
Master Python programming fundamentals and AI-specific libraries
Intermediate
Data Science Path
Complete journey from data analysis to machine learning
10-12 weeks
1.8k+
4.9
What you'll learn:
Statistics
Data Visualization
SQL
Machine Learning
Feature Engineering
Intermediate
Machine Learning Path
Comprehensive ML algorithms and practical implementations
8-10 weeks
3.2k+
4.7
What you'll learn:
Supervised Learning
Unsupervised Learning
Model Evaluation
Ensemble Methods
Advanced
Deep Learning Basics
Neural networks, deep learning frameworks, and applications
All Levels
AI Career Prep
Portfolio building, interview prep, and industry insights
4-6 weeks
950+
4.5
What you'll learn:
Portfolio Projects
Technical Interviews
Industry Trends
Networking
Curated Content
Hand-picked resources from top platforms like YouTube, Coursera, and GitHub
Hands-on Projects
Build real-world projects to reinforce your learning and create a portfolio
Progress Tracking
Track your progress with checklists and milestone achievements