Phase 1: Foundation
Beginner- Programming Basics (Python)
- Mathematics Essentials
- Statistics Fundamentals
- Data Structures & Algorithms
- Basic Data Analysis
Phase 2: Core ML
Intermediate- Machine Learning Basics
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering
Phase 3: Deep Learning
Advanced- Neural Networks
- Deep Learning Frameworks
- CNNs & Computer Vision
- RNNs & NLP
- Transfer Learning
Phase 4: Specializations
Expert- Advanced NLP & Transformers
- Reinforcement Learning
- GANs & Generative AI
- MLOps & Deployment
- Research Topics