AICodePractitioner
Learning Paths

Master AI & Machine Learning

Follow structured learning tracks designed by AI experts. Each track includes theory, hands-on coding challenges, and real-world projects.

AI Foundations

Beginner

Master Python, Math, and Statistics fundamentals required for AI/ML

24 Lessons
4 weeks
8.2K learners
Python BasicsNumPyPandasLinear Algebra+2 more
Not started

Machine Learning

Intermediate

Learn supervised & unsupervised learning algorithms from scratch

32 Lessons
6 weeks
12.5K learners
Linear RegressionLogistic RegressionDecision TreesRandom Forests+3 more
Not started

Deep Learning

Intermediate

Build neural networks, CNNs, RNNs, and understand backpropagation

28 Lessons
5 weeks
9.8K learners
Neural NetworksBackpropagationCNNsRNNs+3 more
Not started

Natural Language Processing

Advanced

Process text, build chatbots, and work with transformers & LLMs

26 Lessons
5 weeks
6.4K learners
TokenizationWord EmbeddingsRNNs for NLPAttention+3 more
Not started

Computer Vision

Advanced

Image classification, object detection, and segmentation

22 Lessons
4 weeks
5.1K learners
Image ProcessingCNNsTransfer LearningObject Detection+2 more
Not started

Reinforcement Learning

Advanced

Q-Learning, Policy Gradients, and building game-playing agents

18 Lessons
4 weeks
3.2K learners
MDPsQ-LearningSARSAPolicy Gradients+3 more
Not started

Coming Soon

MLOps & Deployment

Coming Q2 2025

Generative AI

Coming Q2 2025

AI Ethics & Safety

Coming Q2 2025