Education
Distributed System Classes
Distributed Systems and Computing (4-1)
Principles and Concepts of Distributed Systems and Computing Big Data & Big Data Processing Parallel Processing in Distributed Systems Hadoop 2.0 Architecture and Internals Map-Reduce Framework YARN Fraemwork Spark Framework Fault Torence Distributed Systems Security Issues in Distributed Systems Block Chain Systems and Digital Currency Etherium Next Generation Distributed Systems (4-2)
Cloud Computing Cloud Computing Service Architecture Virtualization Architecture Hypervised Virtual Machines: KVM, Xen Container Virtual Machines: Docker Micro Service Architecture Orchastration of Virtual Systems OpenStack Cloud Operation System Kubrenetes and Auto Scaling DevOps and Continuous Integration and Continuous Development Artificial Intelligent Classes
Open Source Software Project 1 (3-1)
Deep Learning from the basic Artificial Neural Network Neural Network Learning Deep Learning Convolution Neural Network Generative Adversarial Network Recurrent Neural Network Transformer Tensorflow 2.0 Framework Open Source Software Project 2 (3-2)
Deep Reinforcement Learning from the basic Dynamic Planning Monte Calro Control Temporal Difference Control Q-Learning Deep Q Network (DQN) REINFORCE algorithm Actor-Critic: A2C, A3C Monte Calro Tree Search Pytorch 2.0 Framework