中科汇联中科汇联

Artificial Intelligence Application Engineer

Authentication background

The AI Application Engineering Certification Program for practical training is supported by the Educational Testing Center of the Ministry of Industry and Information Technology. It was initiated by Beijing Huilan Technology Co., Ltd. Technology Co., Ltd., and has set up a training base with Beijing Tianxia Zhilian Technology Co., Ltd. The program aims to integrate international human resources and resources, train local AI application-oriented talents, assist in the digital transformation of enterprises, and promote the national digital strategy. The program mainly targets government industry and information technology departments, digital industrial parks, and vocational colleges throughout the country for cooperation and recruitment, in order to cultivate AI application-oriented talents locally and meet the local demand for talent.

认证背景

Certification advantages

Authority

1

Authority

Scientificity

2

Scientificity

Standardization

3

Standardization

Universality

4

Universality

Rigor

5

Rigor

Applicability

6

Applicability

Supervised by the Ministry of Industry and Information Technology, the program is selected as a key project under the "Engineering Program for Industrial and Information Technology Talent Training".

Target audience

  • Management personnel, technical personnel, and business personnel of related product manufacturers and service enterprises in the fields of artificial intelligence, big data, the internet, and other related industries.

  • Management personnel, technical personnel, and business personnel of industry users or enterprise users.

  • Train a group of comprehensive practitioners who can use artificial intelligence technology for industry application design, R&D, integration, operation and maintenance, and carry out related work in various fields and industries.

Training content

The teaching content for AI application junior/intermediate/senior engineers can refer to the three levels of junior, intermediate, and senior. The requirements for the depth and shallowness of the content will be different at different levels.

Category

Content segmentation

Overview of AI

Concept of Artificial Intelligence and the Historical Development of AI

AI Industry

Overview of AI Industry in Basic Layer Applications, Technical Layer Applications, and Application Layer Industries

Machine Learning

Overview of Machine Learning, Neural Networks, Data Preprocessing, Common Tasks in Machine Learning

Statistical Models

Overview of Models, Training Methods of Models, Gradient Descent, Fitting Performance of Models, Evaluation and Improvement Methods of Models, Implementation Frameworks of Machine Learning

Machine Algorithms

Overview of Algorithms, Principles of Algorithms

Neural Networks

Overview of Neural Networks, Deep Learning, Feedforward Neural Networks, Methods to Optimize Networks, Convolutional Neural Networks, Classic Convolutional Neural Networks, Deep Reinforcement Learning

Knowledge Graph

Overview of Knowledge Graph, Key Technologies for Building Knowledge Graphs, Knowledge Graph Fusion, Knowledge Graph Reasoning, Construction Methods of Enterprise Knowledge Graphs

Data Mining

Overview of Data Mining, Techniques of Data Mining, Big Data Thinking

Natural Language Processing (NLP)

Overview of Natural Language Processing, Syntax and Formal Grammar, Semantic Analysis and Extended Grammar, Statistical Methods in Natural Language Processing, Statistical Models in Natural Language Processing, Statistical Natural Language Processing Language Datasets, Semantic Search, Knowledge Question Answering

TensorFlow

Overview of TensorFlow, Main Content of TensorFlow Programs, Programming Strategies in TensorFlow

Python

Overview of Python, Text Acquisition, Text Classification and Information Extraction, Text Analysis, Language Data Management

Application process

  • 1. Submission of candidate's information

    Name

    ID card number

    Gender

    Educational background

    Graduated university/college

    Organization/company

    Phone number

  • Size: 2-inch recent, front-facing, color, half-length photo without hat, with a white background. The photo should have a resolution of 350dpi and be 358*441 pixels in size

    Format: Electronic version in JPG format

    Background: White

    Naming convention: Name + ID card number.JPG

    2. Submission of 2-inch photo by candidate

  • 3. Scanning of candidate's ID card

    Content: Front side of my ID card

    Format: Electronic scanned copy

    Naming convention: Name + ID card number.PDF/JPG

  • Translation: Please refer to the payment platform provided by the registration organization to pay for the exam fee

    4. Candidates need to make payment for registration

  • 5. The real scene of the candidate taking the exam

    Translation: Please submit 3 photos of the teacher giving the lecture and students attending the training (1 full front view, 1 full back view, and 1 full side view), as well as a 10-second video showing the teaching process (including the front, back, and side views)

    Translation: Please submit 3 photos of the student taking the exam (1 full front view, 1 full back view, and 1 full side view), as well as a 10-second video showing the exam process (including the front, back, and side views)

Translation certificate system

  • Translation: AI Application Engineer (Junior)

    Translation: AI Application Engineer (Junior)

    Application technicians, technical annotations, knowledge base development, data analysis, application development, etc

  • AI Application Engineer (Intermediate)

    AI Application Engineer (Intermediate)

    Business managers, product managers, technical managers, project managers, etc

  • Artificial Intelligence Application Engineer (Senior)

    Artificial Intelligence Application Engineer (Senior)

    Senior technical personnel, algorithm research, system architecture, etc

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