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
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