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What are the Career Directions in Embedded AI?
In the context of a new round of technological revolution and industrial transformation, embedded artificial intelligence has become the core driving force for the country’s new infrastructure and the upgrading of traditional industries. At the same time, under this background, many well-known companies have also laid out in the field of embedded artificial intelligence.
Domestic and foreign technology giants are competing to enter the market. While Microsoft, Google, Apple, Facebook, and others are actively laying out artificial intelligence, domestic technology companies such as BAT, Huawei, and Xiaomi have also successively entered the embedded artificial intelligence track. So what are the career directions in embedded AI?
There are many development directions for embedded AI, with varying thresholds. Below are some skills required for corresponding positions:
1. Embedded Linux, C Language Development Engineer, Linux Software Development Engineer
Linux C Language Development |
Advanced Linux C Language Development |
Linux Operating System Usage and Advanced C Programming |
Data Structures and Algorithms |
2. Embedded Linux Application Engineer, Linux Network Development Engineer
File IO |
Concurrent Programming Design |
Project Practice: Flappy Bird Game Development Based on Linux |
Network Programming Development and Practice (Part 1) |
Network Programming Development and Practice (Part 2) |
Database Development |
Comprehensive Practice of Linux Application Development |
3. Embedded Linux System Engineer, Linux Kernel Engineer, Embedded Linux Driver Engineer
ARM Architecture and Interface Technology |
System Porting |
Beginner Embedded Kernel and Driver Development |
Intermediate Embedded Kernel and Driver Development |
Advanced Embedded Kernel and Driver Development |
4. Senior Embedded Development Engineer
Embedded Development and Expansion Practice |
SourceInsight, Git Tool Usage |
5. C++ Development Engineer, QT Development Engineer, Linux QT Development Engineer
C++ Development |
QT Embedded Graphics Development |
Face Recognition Smart Lock Project Based on STM32MP157 |
Smart Environment Detection Project Based on STM32MP157 |
6. IoT Wireless Communication Development Engineer, IoT Development Engineer
IoT ARM Development |
NB-IoT Development and Practice |
7. Python Engineer, Artificial Intelligence Engineer
Basic Python Syntax |
Core Python Programming |
Machine Vision Development Based on OpenCV |
Embedded artificial intelligence penetrates all aspects of life, widely used in various fields such as industry, agriculture, medical care, urban construction, finance, aerospace, and military industry. In the context of new era development, embedded artificial intelligence has become an inevitable trend and one of the hottest commercialization paths for AI.
The development of the embedded artificial intelligence industry is supported by national policies, including the “New Generation Artificial Intelligence Development Plan”; key tasks in the national “14th Five-Year Plan”; “Special Action for Innovation and Development of Intelligent Hardware Industry”; “Action Plan for Innovative Development of Industrial Internet (2021-2023)”; and “Technological Innovation 2030 – Major Projects for New Generation Artificial Intelligence”.
As embedded artificial intelligence continues to penetrate various industries, market demand is constantly increasing, and the talent demand gap is also widening, providing us with numerous opportunities. Friends who want to learn more about the embedded artificial intelligence industry can click the QR code below to receive free materials, or add Teacher Xiao Xi for interaction.
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