Huawei AI Certification Training
HCIA-AI Training
Training Path
1 |
AI Overview |
|
Lecture |
0.5 day |
2 |
Machine Learning Overview |
|
Lecture,Practice |
1.23 days |
3 |
Deep Learning Overview |
|
Lecture,Practice |
1.5 days |
4 |
Mainstream Development Frameworks for AI |
|
Lecture,Practice |
0.57 day |
5 |
Huawei AI Development Framework MindSpore |
|
Lecture |
0.2 day |
6 |
Huawei AI Computing Platform Atlas |
|
Lecture |
0.33 day |
7 |
Huawei Open AI Platform for Smart Devices |
|
Lecture |
0.17 day |
8 |
HUAWEI CLOUD Enterprise Intelligence Application Platform |
|
Lecture |
0.5 day |
Target Audience
- Those who hope to become AI engineers
- Those who hope to obtain an HCIA-AI certificate
- Those who hope to know how to use, manage, and maintain Huawei AI products and AI cloud services
Prerequisites
- Be familiar with basic operations on Linux operating systems.
- Possess the basic knowledge of advanced mathematics, and have studied the pre-curriculum of Mathematics
- Familiar with python language, have studied the pre-course of "Python Basics"
Objectives
On completion of this program, the participants will be able to:
- Understand the overview of AI.
- To solve the tasks of different types, understand the whole process from data acquisition and processing, model building to result output and evaluation
- Basic understanding of TensorFlow 2.1.0, Pytorch framework, can realize simple application
- Basic understanding of TensorFlow 2.1.0, Pytorch, MindSpore framework, can realize simple application
- Basic understanding of MindSpore framework, can realize simple application
- Understand HUAWEI Ascend series products
- Master the basic functions of the Atlas development board
- Understand HUAWEI HiAI
- Understand HUAWEI EI
Training Contents
AI Overview
- AI Overview
- Technical Fields and Application Fields of AI
- Huawei's AI Development Strategy
- AI Disputes
- Future Prospects of AI
Machine Learning Overview
- Machine Learning Definition
- Machine Learning Types
- Machine Learning Process
- Other Key Machine Learning Methods
- Common Machine Learning Algorithms
- Case Study
Deep Learning Overview
- Deep Learning Summary
- Training Rules
- Activation Function
- Regularization
- Optimizer
- Types of Neural Network
- Common Problems
Mainstream Development Frameworks for AI
- Mainstream Development Frameworks
- TensorFlow 2.x Basics
- Common Modules of TensorFlow 2.x
- Basic Steps of Deep Learning Development
Huawei AI Development Framework MindSpore
- MindSpore Development Framewor
- MindSpore Development and Application
Huawei AI Computing Platform Atlas
- Overview of AI Chips
- Hardware Architecture of Ascend Chips
- Software Architecture of Ascend Chips
- Huawei Atlas AI Computing Platform
- Industry Applications of Atlas
Huawei Open AI Platform for Smart Devices
- AI Industry Ecosystem
- Huawei HiAI Platform
- Developing Apps Based on Huawei HiAI Platform
HUAWEI CLOUD Enterprise Intelligence Application Platform
- Overview of HUAWEI CLOUD EI
- ModelArts
- HUAWEI CLOUD EI Solutions
Duration
5 working days