Huawei Certified ICT Professional-AI-EI Developer (HCIP-AI-EI DEVELOPER)

Программа курса

  • Chapter 1 Neural Network Basics
    • 1).Deep Learning Basics
    • 2).Artificial Neural Network
    • 3).Training Neural Network
    • 4).Architecture Design of Neural Networks
  • Chapter 2 Image Processing Theory and Applications
    • 1).Computer Vision Overview
    • 2).Digital Image Processing Fundamentals
    • 3).Image Preprocessing Technology
    • 4).Basic Tasks of Image Processing
    • 5).Feature Extraction and Traditional Methods
    • 6).Deep Learning and Convolution Neural Network
    • 7).Object detection and object segmentation
  • Chapter 3 Speech Processing Theory and Applications
    • 1).Speech Processing
    • 2).Speech Recognition
    • 3).Text-to-Speech Synthesis
    • 4).Traditional Acoustic Model GMM-HMM
    • 5).Hybrid Model DNN-HMM
    • 6).Advanced Speech Model
  • Chapter 4 Natural Language Processing Theory and Applications
    • 1).Introduction to NLP
    • 2).Knowledge Required
    • 3).Key Tasks
    • 4).Applications
  • Chapter 5 Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio
    • 1).AI: New General Purpose Technology
    • 2).10 Changes That Will Define the Future
    • 3).Huawei's AI Portfolio
    • Chapter 6 Overview of ModelArts
  • Chapter 7 Image Processing Experiment Guide
    • 1).Image Data Preprocessing
    • 2).HUAWEI CLOUD EI Image Tag Service
  • Chapter 8 Speech Processing Experiment Guide
    • 1).Speech Preprocessing
    • 2).HUAWEI CLOUD EI Text-to-Speech Service
    • 3).Speech Recognition Based on Seq2Seq
  • Chapter 9 Natural Language Processing Experiment Guide
    • 1).HUAWEI CLOUD EI Natural Language Processing Service
    • 2).Text Classification
    • 3).Machine Translation
  • Chapter 10 ModelArts Lab Guide
    • 1).ExeML
    • 2).Data Management
    • (3).Built-in Algorithms for Deep Learning
    • (4).Custom Basic Algorithms for Deep Learning
    • (5).Custom Advanced Algorithms for Deep Learning