HCCDP-AI
It provides AI developers with training and certification on AI algorithm theories and AI application development and O&M capabilities based on Huawei Cloud EI services.
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Purchase certifications
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Online learning
6 sections
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Lab exercises
22 exercises (unlimited attempts)
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Enroll for the exam
Theory + lab exams (1 attempt)
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Obtain the certificate
Certificate valid for 3 years
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Purchase certifications1. Please use your HUAWEI CLOUD personal account or enterprise master account to purchase developer certification, which does not support the purchase/redemption of enterprise sub-accounts or the enterprise sub-account exam.
2. If you use a redemption code to redeem developer authentication, click Developer Authentication to complete the redemption operation, which only supports HUAWEI CLOUD personal account redemption authentication.
3. After successfully purchasing the developer certification,you can proceed to the next steps,and you can view the redemption record in My Redemption Code
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Online learningLearn the basics online. Start
Chapter/Section Objective AI Basics Understand the AI technology status, AI application development process, and Huawei's full-stack all-scenario AI solution. Machine Learning Understand the basic principles of common regression, classification, and unsupervised learning algorithms, and be able to construct common machine learning models. Deep Learning Understand the basic principles of neural networks and the structures and basic principles of common deep learning algorithms. Huawei Cloud Pangu Large Models Master the methods of calling APIs of Pangu models, optimizing prompts, and fine-tuning models. ModelArts Development Practices Understand the functions and features of ModelArts and be able to train and deploy AI models using ModelArts. Exam Outline and Sample Questions Learn about the knowledge points and weighting of the certification exam. -
Lab exercisesEach exercise reinforces the course theory, so you improve your understanding and acquire related skills.
Notes
- Before the exercise
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1. Log in using your Huawei Cloud account on Google Chrome.
2. Ensure your network speed is at least 2 Mbit/s.
- During the exercise
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1. Limited practice slots are available, and each user has one practice attempt a day.
2. Complete the exercise within the required time. If you exit the exercise, resources will be released.
3. Use the lab account provided by KooLabs for operations on the lab desktop.
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Linear Regression Implementation
Duration:60 min
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Implementing a Logistic Regression Algorithm
Duration:60 min
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Implementing a KNN Algorithm
Duration:60 min
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Implementing a Naive Bayes Algorithm
Duration:60 min
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Implementing an SVM Algorithm
Duration:60 min
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Implementing and Invoking a CART Algorithm Based on ModelArt
Duration:60 min
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Clustering Handwritten Digits Using K-means
Duration:60 min
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Handwritten Digit Recognition
Duration:60 min
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Binary Classification of Handwritten Digits
Duration:60 min
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Perceptron from Scratch for Binary Classification
Duration:60 min
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PyTorch Perceptron for Binary Digit Classification
Duration:90 min
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Binary Model to 10-Class Classification Model
Duration:90 min
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From Perceptron to Convolutional Neural Network
Duration:90 min
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LeNet-5 Convolutional Neural Network
Duration:90 min
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ResNet - Classical Convolutional Neural Network
Duration:90 min
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Intelligent Labeling
Duration:60 min
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ExeML for Food Classification
Duration:90 min
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Flowers Classification
Duration:60 min
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AI Model Migration& Deployment
Duration:120 min
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Custom Algorithm for Image Rec
Duration:120 min
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Custom Docker Image
Duration:180 min
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Influenza Patient Tracing
Duration:90 min
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Enroll for the examGo
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Obtain the certificate1. 48 hours after passing the exam, your certificate will be available to view and download at My Certificates in your account name drop-down.
2. Your certificate is valid for three years from the date of issuance. Go
认证流程
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Online learning Start
Chapter/Section Duration(Min) Objective AI Basics Understand the AI technology status, AI application development process, and Huawei's full-stack all-scenario AI solution. Machine Learning Understand the basic principles of common regression, classification, and unsupervised learning algorithms, and be able to construct common machine learning models. Deep Learning Understand the basic principles of neural networks and the structures and basic principles of common deep learning algorithms. Huawei Cloud Pangu Large Models Master the methods of calling APIs of Pangu models, optimizing prompts, and fine-tuning models. ModelArts Development Practices Understand the functions and features of ModelArts and be able to train and deploy AI models using ModelArts. Exam Outline and Sample Questions Learn about the knowledge points and weighting of the certification exam. -
Lab exercisesEach exercise reinforces the course theory, so you improve your understanding and acquire related skills.
Notes
- Before the exercise
-
1. Log in using your Huawei Cloud account on Google Chrome.
2. Ensure your network speed is at least 2 Mbit/s.
- During the exercise
-
1. Limited practice slots are available, and each user has one practice attempt a day.
2. Complete the exercise within the required time. If you exit the exercise, resources will be released.
3. Use the lab account provided by KooLabs for operations on the lab desktop.
Linear Regression Implementation
Duration：60 min
Implementing a Logistic Regression Algorithm
Duration：60 min
Implementing a KNN Algorithm
Duration：60 min
Implementing a Naive Bayes Algorithm
Duration：60 min
Implementing an SVM Algorithm
Duration：60 min
Implementing and Invoking a CART Algorithm Based on ModelArt
Duration：60 min
Clustering Handwritten Digits Using K-means
Duration：60 min
Handwritten Digit Recognition
Duration：60 min
Binary Classification of Handwritten Digits
Duration：60 min
Perceptron from Scratch for Binary Classification
Duration：60 min
PyTorch Perceptron for Binary Digit Classification
Duration：90 min
Binary Model to 10-Class Classification Model
Duration：90 min
From Perceptron to Convolutional Neural Network
Duration：90 min
LeNet-5 Convolutional Neural Network
Duration：90 min
ResNet - Classical Convolutional Neural Network
Duration：90 min
Intelligent Labeling
Duration：60 min
ExeML for Food Classification
Duration：90 min
Flowers Classification
Duration：60 min
AI Model Migration& Deployment
Duration：120 min
Custom Algorithm for Image Rec
Duration：120 min
Custom Docker Image
Duration：180 min
Influenza Patient Tracing
Duration：90 min
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Enroll for the exam
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Obtain the certificate Obtain certificate1. 48 hours after passing the exam, your certificate will be available to view and download at My Certificates in your account name drop-down.
2. Your certificate is valid for three years from the date of issuance.