This is a release notice for Huawei Certification HCIP-AI-EI Developer V2.0 (English Version). Huawei Certified HCIP-AI-EI Developer V2.0 is scheduled for worldwide official release on April 30th, 2020.
1 Overview
Huawei Certification is an integral part of the company's "Platform + Ecosystem" strategy, and it supports the ICT infrastructure featuring "Cloud-Pipe-Device". It evolves to reflect the latest trends of ICT development. Huawei Certification consists of three categories: ICT Infrastructure Certification, Platform and Service Certification, and ICT Vertical Certification, making it the most extensive technical certification program in the industry.
Huawei offers three levels of certification: Huawei Certified ICT Associate (HCIA), Huawei Certified ICT Professional (HCIP), and Huawei Certified ICT Expert (HCIE).
With its leading talent development system and certification standards, Huawei is committed to developing ICT professionals in the digital era, building a healthy ICT talent ecosystem.
HCIP-AI-EI Developer V2.0 certification aims to train and certificate senior engineers who are capable of achieving the AI development and innovation with Huawei Cloud EI and the ModelArts platform.
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.
2 Product Overview
1.1 Released Materials
Following is the list of released materials for HCIP-AI-EI Developer V2.0:
HCIP-AI-EI Developer V2.0 Training Outline
HCIP-AI-EI Developer V2.0 Exam Outline
HCIP-AI-EI Developer V2.0 Training Materials
HCIP-AI-EI Developer V2.0 Lab Guides
HCIP-AI-EI Developer V2.0 Mock Exam
HCIP-AI-EI Developer V2.0 Change Instructions
HCIP-AI-EI Developer V2.0 Timetable
HCIP-AI-EI Developer V2.0 Equipment List
HCIP-AI-EI Developer V2.0 HUAWEI CLOUD Resource List
HCIP-AI-EI Developer V2.0 Experiment Environment Setup Guide
HCIP-AI-EI Developer V2.0 Online Course (To be released in May 2020)
3 Training Description
3.1 Training Materials
The training materials of HCIP-AI-EI Developer V2.0 are as follows:
Knowledge Points | V1.0 | V2.0 | Update Description |
1. Neural network basics | 10% | 10% | Changed the name of Deep Feedforward Network to Neural Network Basics and newly added deep learning background knowledge, accounting for 3%. Optimized the back-propagation introduction, accounting for 2%. |
2. Image Processing Theory and Application | 50% | 40% | Increase the number of image processing applications by 5%. Optimized the illustrations, accounting for 5%. |
3. Speech Processing theory and application | 20% | 20% | Add voice processing applications, accounting for 3%. Optimized the illustrations. 5% of the total; |
4. Natural language processing theory and application | 15% | 15% | Natural language processing applications are added by 3% Optimized the illustrations. 5% of the total; |
5. Introduction to Huawei AI Development Strategy | 5% | 5% | Newly added this section, mainly including Huawei AI strategy and product. |
6. ModelArts Overview | 0% | 10% | Newly added this section, including the features, functions, development process, and application cases of the ModelArts platform, accounting for 10%. |
3.2 Lab Guides
The lab guides of HCIP-AI-EI Developer V2.0 are as follows:
Knowledge Points | V1.0 | V2.0 | Update Description |
1. Image Processing Experiment | 40% | 30% | Newly added HUAWEI CLOUD EI services, including video analysis, facial recognition, and image search, accounting for 15%. |
2. Speech Processing Experiment | 40% | 25% | Optimized the voice processing code and dataset, accounting for 5%. |
3. Natural Language Processing Experiment | 20% | 15% | Newly added HUAWEI CLOUD EI services: Conversational Bot Service (CBS) and Natural Language Processing (NLP), accounting for 8%. |
4. ModelArts Development Experiment | 0% | 30% | Newly added this section, including ExeML, data management, deep learning preset algorithms, deep learning customized basic algorithms, deep learning customized advanced algorithms, and market experiments on the ModelArts platform, accounting for 30%. |
3.3 Training Duration
HCIP-AI-EI Developer V2.0 training is designed for 9 working days.
3.4 Lab Environment
Please refer to HCIP-AI-EI Developer V2.0 Equipment List and HCIP-AI-EI Developer V2.0 Lab Environment Setup Guide in the training materials list for detailed equipment models and lab development guide.
4 Trainers Enablement and Certification
Remarks | |
Trainer enablement | HALP/ICT trainers complete self-learning on Huawei E-learning Cloud. |
Trainer certification | HALP/ICT trainers can apply for a certificate after passing the written test and trial lecture. |
5 Exam Description
The HCIP-AI-EI Developer V2.0 certification exam can be taken at Pearson VUE on April 30, 2020. Reservation can be made at https://home.pearsonvue.com/huawei with exam code: H13-321.
Certification | Exam Code | Exam Name | Version | Exam Platform | Exam Duration | Qualified Score/Total |
HCIP-AI-EI Developer | H13-321 | HCIP-AI-EI Developer | V2.0 | Pearson VUE | 90 min | 600/1000 |
6 Release Scope and Target Customers
HCIP-AI-EI Developer V2.0 is scheduled for official release worldwide on April 30, 2020.
The certification targets ICT professionals, Huawei users, Huawei partner, ISV, Huawei engineers, as well as college students.
7 Product Information and Documentation
The HCIP-AI-EI Developer V2.0 certification program is developed by the Huawei ICT Talent Ecosystem Development Dept. Please visit the following links to obtain relevant product information and documents.
Huawei Users | |
HALP Trainer | |
ICT Academy Trainer | |
Huawei Employee | |
Huawei Training Manager |
Please contact Certification@huawei.com for any comments or suggestions.
Huawei Technologies Co., Ltd.
April 30, 2020
