- Computer Science
- Data Science
- Mechanical-Electrical Engineering
- Neuro-science & Psychology
AI
- Linear Algebra by MIT (Prof. Gilbert Strang)
- Calculus
- Calculus of variations
- Graph theory
- Optimization methods (Lagrange multipliers)
- Probability System Analysis & Applied Probability by MIT (Prof. John Tsitsiklis)
- Machine learning by Stanford (prof. Andrew Ng)
- Deep learning Specialization by Stanford (prof. Andre Ng)
- TensorFlow in Practice Specialization by GoogleBrain (Laurence Moroney)
- Reinforcement learning
- AGI
Blockchain
- comming soon
IoT
- Electrical engineering
- Electronical engineering
VR/AR
- comming soon