Structured Learning Paths for AI & ML
Complete progressions from beginner to advanced in different specializations
These curated learning paths guide you through a structured sequence of topics, building knowledge step-by-step from fundamentals to advanced concepts. Choose your specialization and follow the recommended progression.
Available Learning Paths
Python for AI/ML
Master Python programming for machine learning applications. Perfect for beginners with no coding experience.
Duration: 8-10 weeks | Difficulty: Beginner → Intermediate
Deep Learning Progression
Build neural networks from scratch. Covers fundamentals through advanced architectures like RNNs and Transformers.
Duration: 10-12 weeks | Difficulty: Intermediate → Advanced
AI Tools Mastery
Learn to use popular AI frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
Duration: 6-8 weeks | Difficulty: Intermediate
How to Use These Paths
- Choose Your Path: Select based on your goals and current knowledge
- Follow Sequentially: Complete modules in order – each builds on previous knowledge
- Practice Consistently: Spend 3-5 hours per week to complete a path in the recommended duration
- Build Projects: Apply learning to hands-on projects at each stage
- Review & Reinforce: Go back to earlier modules if you feel weak on fundamentals
Learning Path Features
- 📚 Curated Resources: Links to best tutorials, articles, and documentation
- ✅ Clear Checkpoints: Milestones to verify your learning
- 💻 Hands-On Projects: Real-world projects for each module
- 🎯 Weekly Schedule: Recommended time allocations for each topic
- 🔗 Interconnected: See how different topics relate to each other
- 📊 Difficulty Scaling: Progressive increase in complexity
Parallel Learning Opportunities
You can combine learning paths strategically:
- Weeks 1-4: Python Basics (Foundation)
- Weeks 4-8: Python Data Science + Math Foundations (Parallel)
- Weeks 8-16: Deep Learning + AI Tools Mastery (Parallel)
- Weeks 16+: Specialization Projects + Advanced Topics
This can reduce total learning time from 24 weeks to 16 weeks for a full stack.
After Completing Paths
- 🎓 Move to our Career Guides to understand job roles and industry applications
- 🚀 Build Advanced Projects for your portfolio
- 💼 Apply to roles that match your specialization
- 🔄 Continue learning emerging AI/ML technologies
