AI/ML Student Roadmap

A comprehensive guide to becoming an AI/ML expert with proper projects and coding languages

Foundational Knowledge

Mathematics & Statistics

Linear Algebra: Vectors, Matrices, Eigenvalues
Probability & Statistics: Distributions, Bayes' Theorem
Calculus: Derivatives, Gradients, Optimization

Learn Math for ML

Programming Fundamentals

Learn Python

Beginner Projects

Start with these simple projects to apply foundational knowledge

Python NumPy Matplotlib

Kaggle Tutorials

Core Machine Learning

Supervised Learning

Regression: Linear, Polynomial, Ridge
Classification: Logistic, SVM, Decision Trees
Evaluation Metrics: MSE, Accuracy, F1-Score

Andrew Ng's ML Course

Unsupervised Learning

Clustering: K-Means, DBSCAN
Dimensionality Reduction: PCA, t-SNE

Unsupervised Learning Course

ML Projects

Apply core ML concepts to real-world problems

Scikit-learn NLP Clustering

Scikit-learn Tutorials

Deep Learning & Neural Networks

Fundamentals

Neural Networks: Perceptrons, Backpropagation
Frameworks: TensorFlow/PyTorch

NN & DL Course

Advanced Topics

Fast.ai Practical DL

DL Projects

Implement deep learning models

TensorFlow PyTorch NLP

PyTorch Tutorial

Specializations

Computer Vision (CV)

OpenCV, YOLO, GANs
Project: Face Recognition System

CV Specialization

Natural Language Processing (NLP)

NLTK, SpaCy, HuggingFace
Project: Chatbot using Transformers

NLP Specialization

Reinforcement Learning (RL)

Q-Learning, Deep Q Networks
Project: Train an AI to play a game

RL Specialization

MLOps & Deployment

Flask, Docker, AWS
Project: Deploy an ML Model

MLOps Course

Advanced Topics & Research

Cutting Edge Technologies

AutoML (Auto-sklearn, H2O.ai)
Explainable AI (SHAP, LIME)
Generative AI (Diffusion Models, LLMs)

Generative AI Course

Advanced Projects

Work on state-of-the-art AI projects

LLMs Generative AI XAI

HuggingFace Course

Career Growth Strategies

Recommended Learning Resources

Books

Hands-On ML, Deep Learning

View Books

Courses

Andrew Ng's ML, Fast.ai

Explore Courses

Platforms

Kaggle, LeetCode, Coursera

Start Learning

"Learn → Build → Repeat" - Start with small projects and gradually increase complexity!