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AI & ML Roadmap
Track your progress through the learning path
Mathematics & Statistics
1/7
Linear Algebra
Probability & Statistics
Calculus (Derivatives & Integrals)
Optimization Techniques
Programming & Data Handling
2/7
Python (NumPy, Pandas, Matplotlib, Seaborn)
SQL for Data Handling
Data Preprocessing & Feature Engineering
Machine Learning
3/7
Supervised & Unsupervised Learning
Regression & Classification Algorithms
Clustering & Dimensionality Reduction
Model Evaluation & Hyperparameter Tuning
Scikit-Learn
Deep Learning
4/7
Neural Networks & Backpropagation
TensorFlow / PyTorch
CNNs (Image Processing)
RNNs & LSTMs (Time Series & NLP)
Transformers (BERT, GPT)
Advanced Topics
5/7
Reinforcement Learning
Generative AI (GANs, VAEs)
Large Language Models (LLMs)
Edge AI & Model Optimization
Projects
6/7
Mini Projects (Data Analysis, ML Models)
Full AI/ML Project (End-to-End Deployment)
Kaggle Competitions & Open Source Contributions
Job Preparation
7/7
Resume & Portfolio Building
DSA & Problem Solving (Leetcode, Codeforces)
ML System Design Basics
Interview Preparation
Networking & Job Applications
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