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