R3PL1C4

Learning Paths

Structured roadmaps to take you from beginner to professional in AI and robotics.

ML Engineer

Beginner → Advanced

  1. 1Python & Math fundamentals
  2. 2Machine Learning basics (scikit-learn)
  3. 3Deep Learning (PyTorch / TensorFlow)
  4. 4NLP & Computer Vision
  5. 5MLOps & Production deployment
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Robotics Engineer

Beginner → Advanced

  1. 1Python & C++ basics
  2. 2Robot Operating System (ROS2)
  3. 3Sensors & Actuators
  4. 4Control Systems & Motion Planning
  5. 5Autonomous Navigation
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AI Hardware

Intermediate → Advanced

  1. 1GPU architecture fundamentals
  2. 2CUDA & parallel computing
  3. 3Edge AI & embedded systems
  4. 4AI accelerators (TPU, NPU)
  5. 5Hardware-software co-design
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