Huawei Certification Overview:
Huawei Certification is a key component of our "Platform + Ecosystem" strategy, supporting cutting-edge ICT infrastructure (Cloud-Pipe-Device) and evolving with industry trends.
HCIA-AI V3.0 Certification
This certification program equips participants with expertise in machine learning, deep learning, and AI product/solution development.
Target Audience
- MSA University Students, Alumni and Staff
- Students from accredited Egyptian universities
- Aspiring AI professionals
- Graduate students enrolled in Egyptian universities pursuing AI and related disciplines
HCIA-AI V3.0 Certification Benefits
Passing HCIA-AI V3.0 certification demonstrates:
-
- Mastery of AI development history, Huawei Ascend AI, full-stack AI strategy, traditional machine learning and deep learning algorithms.
- Expertise in building, training and deploying neural networks using TensorFlow and MindSpore.
- Competency in AI roles: sales, marketing, product management, project management, technical support and more.
Online Description
After this course you will systematically understand and grasp Machine Learning, Deep learning, Basic AI concept, basic programming methods using MindSpore and TensorFlow, pre-knowledge, Huawei Ascend Chips(Ascend 910 and 310), Huawei HiAI Platform and Huawei cloud EI.
Duration :
- Duration: 40 hours (4 hours/day, 10 days)
- Date: January 26 - February 6
- Time: 6:00 pm - 10:00 pm
What you will gain at the end of this program:
- Obtain official learning resources such as training materials and lab guide,
- FREE Mock Exam after finishing the training program
Accreditation
Learners will get Attendance Certification accredited by HUAWEI Academy MSA University and MSA Continuance Learning Center - CLC
Fees:
Standard
MSA Family
Group Rate
Limited seats available—only 20 participants per round!
Don’t miss the chance to join our Magical Learning Experience.
Our team is always available to assist you.
MSA University - 26 July Mehwar Road intersection with Wahat Road, 6th of October
Email: clc@msa.edu.eg
Whatsapp: 01272803847
The version evolved from V1.0 to V3.0.“The Propaedeutic and Overview of Deep Learning” in V1.0 is split into chapters 2 and 3 in V3.0.
The training materials of HCIA-AI V3.0 are as follows:
|
Key points |
Credit Hours |
Description |
|
3 |
Understand the AI basics and applications, AI future prospects and Huawei's AI strategy |
|
4 |
Master the common algorithms, important concepts, and cases of machine learning, master the description of algorithms, classification, important concepts, and overall process of machine learning. |
|
6 |
Understand the training rules and common problems of deep learning, master the description of basic concepts, optimizers, and other neural network types of deep learning. |
|
2 |
Master the overview of the deep learning development frameworks and basic development procedure, master the basics and common modules of TensorFlow 2.0. |
|
2 |
Master the basic concept and use of Huawei AI development framework MindSpore. |
|
3 |
Understand the overview, framework, and applications of the Ascend processor and Atlas AI computing platform. |
|
1 |
Understand the overview of AI industry ecology and Huawei HiAI platform functions and features. |
|
1 |
Understand the introduction of ModelArts functions and features. Master the description and application cases of EI. |
The lab guides of HCIA-AI V3.0 are as follows:
|
Chapter |
Credit hours |
Description |
|
1.Machine Learning Experiment |
2 |
Master the linear regression experiment and decision tree experiment. Master the use of the Sklearn module. |
|
2.Mainstream Development Framework and Deep Learning Experiment |
3 |
Master the basic operation of Tensorflow 2.0, master the CIFAR10 image classification experiment in TensorFlow 2.0. |
|
3.MindSpore Experiment |
2 |
Master the basic operation of MindSpore.
|
|
4.ModelArts Experiment Guide |
1 |
Master the ModelArts ExeML experiment and image classification experiment. |
The HCIA-AI V3.0 exam covers: AI Overview, Machine Learning Overview, Deep Learning Overview, Mainstream Development Frameworks for AI, Huawei AI Development Framework MindSpore, Huawei AI Computing Platform Atlas, Huawei Open AI Platform for Smart Devices, HUAWEI CLOUD Enterprise Intelligence Application Platform.
|
Knowledge Content |
|||
|
AI Overview |
10% |
Machine Learning Overview |
20% |
|
Deep Learning Overview |
20% |
Mainstream Development Frameworks for AI |
18% |
|
Huawei AI Development Framework MindSpore |
3% |
Huawei AI Computing Platform Atlas |
5% |
|
Huawei Open AI Platform for Smart Devices |
2% |
HUAWEI CLOUD Enterprise Intelligence Application Platform |
5% |
|
Comprehensive AI Experiment |
17% |
||
