H13-321_V2.0 HCIP-AI-EI Developer V2.0 Exam Dumps

by simonlata on Jun 26th, 2024 04:58 AM

For those preparing for the H13-321_V2.0 HCIP-AI-EI Developer V2.0 exam, Passcert has recently released the most updated version of their H13-321_V2.0 HCIP-AI-EI Developer V2.0 Exam Dumps to assist in your preparation process. This latest version of the H13-321_V2.0 HCIP-AI-EI Developer V2.0 Exam Dumps encompasses a wide range of real questions and answers that you might encounter during the actual exam. The use of the latest H13-321_V2.0 HCIP-AI-EI Developer V2.0 Exam Dumps from Passcert as part of your study strategy can dramatically improve your understanding of the subject matter, and ultimately, increase your chances of passing the exam successfully. 

HCIP-AI-EI Developer Certification
Passing the HCIP-AI-EI Developer V2.0 certification will indicate that you: 1) have mastered the basic principles, architecture and programming of artificial intelligence technology in the field of image processing. Speech processing and natural language processing; 2) are able to develop AI models using python, TensorFlow and Huawei ModelArts; 3) competent for senior image processing engineers, speech recognition engineers, natural language processing engineers and other positions.

HCIP-AI-EI Developer V2.0 Exam Content
1. Neural Network Basics (4%)
1.1 Deep Learning Basics
1.2 Artificial Neural Network
1.3 Training Neural Network
1.4 Architecture Design of Neural Networks

2. Image Processing Theory and Applications (26%)
2.1 Computer Vision Overview
2.2 Digital Image Processing Fundamentals
2.3 Image Preprocessing Technology
2.4 Basic Tasks of Image Processing
2.5 Feature Extraction and Traditional Methods
2.6 Deep Learning and Convolution Neural Network
2.7 Object detection and object segmentation

3. Speech Processing Theory and Applications (10%)
3.1 Speech Processing
3.2 Speech Recognition
3.3 Text-to-Speech Synthesis
3.4 Traditional Acoustic Model GMM-HMM
3.5 Hybrid Model DNN-HMM
3.6 Advanced Speech Model

4. Natural Language Processing Theory and Applications (10%)
4.1 Introduction to NLP
4.2 Knowledge Required
4.3 Key Tasks
4.4 Applications

5. Introduction to Huawei AI Development Strategy and Full-Stack All-Scenario Solutions (2%)
5.1 AI: New General Purpose Technology
5.2 10 Changes That Will Define the Future
5.3 Huawei's AI Portfolio

6. Overview of ModelArts (4%)

7. Image Processing Lab Guide (12%)
7.1 Image Data Preprocessing
7.2 HUAWEI CLOUD EI Image Tag Service
7.3 HUAWEI CLOUD EI Facial Recognition Service

8. Speech Processing Lab Guide (12%)
8.1 Speech Preprocessing
8.2 HUAWEI CLOUD EI Text-to-Speech Service
8.3 Speech Recognition Based on Seq2Seq

9. Natural Language Processing Lab Guide (10%)
9.1 HUAWEI CLOUD EI Natural Language Processing Service
9.2 Text Classification
9.3 Machine Translation

10. ModelArts Lab Guide (10%)
10.1 ExeML
10.2 Data Management
10.3 Built-in Algorithms for Deep Learning
10.4 Custom Basic Algorithms for Deep Learning
10.5 Custom Advanced Algorithms for Deep Learning