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".
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.
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".
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.
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 |
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: AI Application Engineer (Junior)
Application technicians, technical annotations, knowledge base development, data analysis, application development, etc
AI Application Engineer (Intermediate)
Business managers, product managers, technical managers, project managers, etc
Artificial Intelligence Application Engineer (Senior)
Senior technical personnel, algorithm research, system architecture, etc