Who should Attend

• Those who hope to become AI engineers
• Those who hope to obtain an HCIA-AI certificate
• Those who hope to know how to use, manage, and maintain Huawei AI products and AI cloud services

Prerequisities

• Be familiar with basic operations on Linux operating systems
• Possess the basic knowledge of advanced mathematics, and have studied the pre-curriculum of Mathematics
• Familiar with python language, have studied the pre-course of “Python Basics”

Duration

5 Days

Course Outline

• AI OVERVIEW

  • AI Overview
  • Technical Fields and Application Fields of AI
  • Huawei’s AI Development Strategy
  • AI Disputes
  • Future Prospects of AI

  MACHINE LEARNING OVERVIEW

  • Machine Learning Definition
  • Machine Learning Types
  • Machine Learning Process
  • Other Key Machine Learning Methods
  • Common Machine Learning Algorithms
  • Case Study

  DEEP LEARNING OVERVIEW

  • Deep Learning Summary
  • Training Rules
  • Activation Function
  • Regularization
  • Optimizer
  • Types of Neural Network
  • Common Problems

  MAINSTREAM DEVELOPMENT FRAMEWORKS FOR AI

  • Mainstream Development Frameworks
  • TensorFlow 2 x Basics
  • Common Modules of TensorFlow 2 x
  • Basic Steps of Deep Learning Development

  HUAWEI AI DEVELOPMENT FRAMEWORK MINDSPORE

  • MindSpore Development Framework
  • MindSpore Development and Application

  HUAWEI AI COMPUTING PLATFORM ATLAS

  • Overview of AI Chips
  • Hardware Architecture of Ascend Chips
  • Software Architecture of Ascend Chips
  • Huawei Atlas AI Computing Platform
  • Industry Applications of Atlas

  HUAWEI OPEN AI PLATFORM FOR SMART DEVICES

  • AI Industry Ecosystem
  • Huawei HiAI Platform
  • Developing Apps Based on Huawei HiAI Platform

  HUAWEI CLOUD ENTERPRISE INTELLIGENCE APPLICATION PLATFORM

  • Overview of HUAWEI CLOUD EI
  • ModelArts
  • HUAWEI CLOUD EI Solutions