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EIEIO / ARTIFICIAL INTELLIGENCE

HCIA-AI Training

Course overview and objectives

5 days
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Duration

5 days

Target Audience

  • 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

Prerequisites

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

Objectives

On completion of this program, the participants will be able to:

  • Master the concepts, major schools, development history, hot fields, case scenarios, disputes, controversies and future of Artificial Intelligence.
  • Understand Huawei's development strategy in the AI.
  • Master the theoretical foundation of traditional machine learning.
  • To solve AI tasks, master the process from data acquisition, processing, model building, to result output and evaluation.
  • Understand the basics of image, speech, and word processing and model building in deep learning.
  • Be familiar with the MindSpore framework, master development methods to implement simple applications.
  • Understand Huawei Ascend computing platform and products, Huawei cloud EI platform and services, Huawei device AI platform.
  • Understand cutting-edge AI applications, such as Reinforcement learning, Generated Adversarial Network, Knowledge graph, automatic smart driving, Quantum computing and machine learning.

Centralized Training Content

HCIA-AI Training V3.5

AI Overview

■ Application Fields of AI

■ Huawei AI Development Strategy

■ Controversies over AI and Its Future

Machine Learning Overview

■ Machine Learning Algorithms

■ Types of Machine Learning

■ Machine Learning Process

■ Important Machine Learning Concepts

■ Common Machine Learning Algorithms

AI Development Framework

■ AI Framework Development

■ MindSpore

■ MindSpore Features

■ MindSpore Development Components

■ AI Application Development Process

Introduction to Huawei AI Platforms

■ Huawei Ascend Computing Platform

■ Huawei Cloud EI Platform

■ Huawei Device AI Platforms

Cutting-edge AI applications

■ Reinforcement Learning

■ GAN

■ Knowledge Graph

■ Intelligent Driving

■ Quantum Computing and Machine Learning

Types of Machine Learning

■ Machine Learning Process

■ Important Machine Learning Concepts

■ Common Machine Learning Algorithms

Deep Learning Overview

■ Deep Learning

■ Training Rules

■ Activation Functions

■ Normalization

■ Optimizers

■ Neural Network Types

AI Development Framework

■ AI Framework Development

■ MindSpore

■ MindSpore Features

■ MindSpore Development Components

■ AI Application Development Process

Introduction to Huawei AI Platforms

■ Huawei Ascend Computing Platform

■ Huawei Cloud EI Platform

■ Huawei Device AI Platforms

Cutting-edge AI applications

■ Reinforcement Learning

■ GAN

■ Knowledge Graph

■ Intelligent Driving

■ Quantum Computing and Machine Learning

Related Exam

The examination is NOT belong to the scope of training, and it needs to be purchased separately.

Related Certificate Exam

Exam Code

Exam Name

H13-311

HCIA-AI

Programme scope, delivery arrangements and suitability are confirmed during enquiry.