NAAI Artificial Intelligence Engineer Certification Test Questions (December 2024)
NAAI (National Academy of Artificial Intelligence)
1、 Basic knowledge (multiple-choice/short answer questions)
Basic concepts of machine learning:
Explain the difference between supervised learning and unsupervised learning, and provide an application scenario for each.
Describe the concepts of overfitting and underfitting, and propose at least two mitigation methods.
Fundamentals of Deep Learning:
What is a neural network? Briefly describe its basic components.
Explain the roles of convolutional layers and pooling layers in Convolutional Neural Networks (CNNs).
Fundamentals of Mathematics and Statistics:
Briefly describe the principle of gradient descent algorithm and its application in work.
What is an activation function and why is it necessary in neural networks?
Data processing:
Describe the importance of data preprocessing and list at least three common data preprocessing techniques.
Explain what feature selection is and its role in building machine learning models.
2、 Programming Practice (Coding Questions)
Implement a simple linear regression model using Python and NumPy, including data generation, model training, and prediction.
Build and train a small neural network for classification tasks, such as MNIST handwritten digit recognition, using TensorFlow or PyTorch frameworks, which requires data loading, model definition, training process, and evaluation results.
Implement an algorithm based on K-means clustering to cluster a given dataset and visualize the clustering results.
3、 Project Case Analysis (Open ended Questions)
Project experience:
Describe the most challenging AI project you have participated in, including your role, the problems encountered, and the solutions.
Analyze the key factors for improving model performance in this project and discuss possible directions for improvement.
Errors and Debugging:
In a project, you found that the model accuracy was lower than expected. Please describe your troubleshooting process, including possible causes, debugging steps taken, and final solution.
4、 Frontier Technology Understanding (Essay Question)
Latest progress in deep learning:
Discuss two important advances in the field of deep learning in recent years (such as Transformer models, self supervised learning, etc.), how they have changed the AI field, and provide examples of their application scenarios.
Ethics and Social Impact of Artificial Intelligence:
Elaborate on your views on the ethics of artificial intelligence, particularly regarding data privacy, algorithmic bias, and automated employment substitution. Propose at least two measures to promote the healthy development of AI technology and reduce its negative impacts.
Additional questions (optional)
Innovative thinking: Imagine a possible application scenario of artificial intelligence within the next five years, describe in detail the scenario, required technological challenges, and potential social value.
Analysis of Testing Results:
The NAAI engineer certification test had 267 global applicants, and the expert group conducted a thorough and comprehensive evaluation of the test answers. Ultimately, 75 people passed the NAAI engineer certification and obtained the NAAI engineer certification certificate. The pass rate of the NAAI engineer certification test this time is 28.1%. Those who pass can check the public list on the NAAI official website. The following is a partial list of those who have passed the certification.
List of NAAI Engineers Recognized as Senior Engineers
Name: Alex Johnson
Nationality: United States
Expertise areas: Deep Learning, Natural Language Processing
Name: Sophia Lee
Nationality: Korean
Specialty areas: Computer vision, machine learning algorithm optimization
Name: Mark Williams
Nationality: British
Expertise areas: Reinforcement Learning, Gaming AI
Name: Emma M ü ller
Nationality: German
Expertise areas: Robotics, Artificial Intelligence Ethics
Name: Lucas Rodriguez
Nationality: Spanish
Expertise areas: Speech recognition, audio signal processing
Name: Anna Ivanova
Nationality: Russian
Specialty areas: Data Mining, Predictive Analysis
Name: Yu Zhang
Nationality: Chinese
Specialty areas: Artificial intelligence chip design, hardware acceleration
Name: Mario Rossi
Nationality: Italian
Expertise areas: human-computer interaction, user interface design
Name: Aisha Ali
Nationality: United Arab Emirates
Specialty areas: Intelligent Internet of Things, Smart City Applications
Name: Felipe Santos
Nationality: Brazilian
Expertise areas: Bioinformatics, Medical AI
Name: Erik Nordstr ö m
Nationality: Sweden
Expertise areas: Autonomous driving technology, robot navigation
Name: Meena Patel
Nationality: Indian
Expertise areas: Educational AI, Personalized Learning Systems
Name: Hiroshi Tanaka
Nationality: Japanese
Expertise areas: Artificial Intelligence Security, Network Defense
Name: Clara D í az
Nationality: Mexican
Expertise areas: Environmental monitoring, sustainable development AI
Name: Liam O'Connor
Nationality: Irish
Expertise areas: Financial AI, algorithmic trading
Name: Alexander Smith
Nationality: United States
Expertise areas: Deep Learning, Computer Vision
Name: Sophia Brown
Nationality: Canadian
Expertise areas: Natural Language Processing, Dialogue Systems
Name: Markus M ü ller
Nationality: German
Expertise areas: Machine learning algorithms, data science
Name: Emma Rodriguez
Nationality: Spanish
Expertise areas: Reinforcement Learning, Gaming AI
Name: Yuri Petrov
Nationality: Russian
Expertise areas: Artificial Intelligence Ethics, Human Computer Interaction
Name: Aisha Ali
Nationality: United Arab Emirates
Expertise areas: Intelligent Internet of Things, Smart Cities
Name: Li Wei
Nationality: Chinese
Expertise areas: Artificial intelligence chips, hardware acceleration
Name: Mario Rossi
Nationality: Italian
Expertise areas: Robotics technology, autonomous driving
Name: Felipe Santos
Nationality: Brazilian
Expertise areas: Bioinformatics, Medical AI
Name: Erik Nordstr ö m
Nationality: Sweden
Expertise areas: Network security, artificial intelligence defense
Name: Hiroshi Tanaka
Nationality: Japanese
Expertise areas: Financial AI, Risk Management
Name: Clara D í az
Nationality: Mexican
Expertise areas: Environmental monitoring, climate modeling
Name: Liam O'Connor
Nationality: Irish
Expertise areas: Speech recognition, speech synthesis
Name: Anna Lee
Nationality: Korean
Expertise areas: Image recognition, video analysis
Name: Lucas Van Gogh
Nationality: Belgian
Expertise areas: Creative AI, Art Generation
Name: Nikolai Ivanov
Nationality: Bulgarian
Expertise: Quantum Computing, Quantum AI
Name: Elara Christou
Nationality: Greek
Specialty areas: Ocean AI, Ocean Data Analysis
Name: Johannes Meyer
Nationality: Dutch
Specialty areas: Agricultural AI, Precision Agriculture
Name: Ava Green
Nationality: Australian
Expertise areas: Aerospace AI, Satellite Data Analysis
Registration for the National Academy of Artificial Intelligence Engineer Certification begins in January 2025
Registration method: Submit resume to email secretary@thenaai.org
Email subject: Registration for NAAI Engineer Certification in a certain direction (I specify the direction)
After successfully submitting the resume, the NAAI Secretariat will send the exam link via email and determine that the candidate needs to complete the exam within the specified time.
Click to download and obtain the registration form for use:
NAAI Application Form.pdf
After completing the exam, submit the answer sheet and decide whether to successfully certify as a NAAI engineer after expert evaluation. (The evaluation is usually completed within 7 working days)
Official pricing for single confirmation: 1500RMB/200 USD
NAAI Artificial Intelligence Engineer Testing Room Collaboration Authorization:
50000 RMB (7000 USD) per year
Engineer certification exam room cooperation contact information:
secretary@thenaai.org
The recognized majors include:
Artificial Intelligence Algorithm Major
The professional direction of artificial intelligence algorithms includes machine learning, pattern recognition, data mining, computational intelligence, natural language processing, knowledge representation and processing, big data intelligence, cross media intelligence, swarm intelligence, brain like computing, human-machine hybrid intelligence, computer vision, speech recognition and synthesis, multi-agent systems, autonomous intelligent unmanned systems, virtual reality and augmented reality, artificial intelligence security and other artificial intelligence algorithms, as well as related basic software design, development and optimization technical positions.
Artificial Intelligence Hardware Specialty
The professional direction of artificial intelligence hardware includes research and development, deployment, and optimization technology positions for artificial intelligence hardware such as artificial intelligence chips, intelligent sensors, intelligent controllers, computing platforms, edge and end devices, brain machine devices, intelligent robots, and intelligent terminals.
Artificial Intelligence Application Major
The professional direction of AI application includes the design, development, testing, optimization, operation and maintenance, service and other technical posts that combine AI algorithms and related technologies with the needs of industries such as manufacturing, medical care, transportation, home furnishing, finance, commerce, agriculture, education, government affairs, security, logistics, energy, and the Internet to achieve the engineering landing of related software and hardware platforms.