Students
Tuition Fee
EGP 3,500
Per course
Start Date
Not Available
Medium of studying
Not Available
Duration
40 hours
Details
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science | Data Science
Area of study
Information and Communication Technologies
Course Language
English
Tuition Fee
Average International Tuition Fee
EGP 3,500
About Program

Program Overview


Huawei Certification Overview

Huawei Certification is a key component of the "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:


  1. Mastery of AI development history, Huawei Ascend AI, full-stack AI strategy, traditional machine learning, and deep learning algorithms.
  2. Expertise in building, training, and deploying neural networks using TensorFlow and MindSpore.
  3. Competency in AI roles: sales, marketing, product management, project management, technical support, and more.

Online Description

After this course, participants will systematically understand and grasp Machine Learning, Deep learning, Basic AI concepts, 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

What You Will Gain

  • Obtain official learning resources such as training materials and lab guides.
  • 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

3,500 EGP


MSA Family

2,000 EGP (45% discount)


Training Materials

The training materials of HCIA-AI V3.0 are as follows: | Key Points | Credit Hours | Description | | --- | --- | --- | | 1. AI Overview | 3 | Understand the AI basics and applications, AI future prospects, and Huawei's AI strategy. | | 2. Machine Learning Overview | 4 | Master the common algorithms, important concepts, and cases of machine learning. | | 3. Deep Learning Overview | 6 | Understand the training rules and common problems of deep learning. | | 4. Mainstream Development Frameworks for AI | 2 | Master the overview of the deep learning development frameworks and basic development procedure. | | 5. Huawei AI Development Framework MindSpore | 2 | Master the basic concept and use of Huawei AI development framework MindSpore. | | 6. Huawei AI Computing Platform Atlas | 3 | Understand the overview, framework, and applications of the Ascend processor and Atlas AI computing platform. | | 7. Huawei Open AI Platform for Smart Devices | 1 | Understand the overview of AI industry ecology and Huawei HiAI platform functions and features. | | 8. HUAWEI CLOUD Enterprise Intelligence Application Platform | 1 | Understand the introduction of ModelArts functions and features. |


Lab Guides

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. | | 2. Mainstream Development Framework and Deep Learning Experiment | 3 | Master the basic operation of 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. |


Exam Content

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 | Percentage | | --- | --- | | 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% |


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