HCIA - AI V3.0 Learning Path

This course will mainly introduce AI Overview, Technical Fields, and Application Fields of AI, Huawei's AI Development Strategy, AI Disputes, Future Prospects of AI.

Machine learning is a core research field of AI, and it is also necessary knowledge for deep learning research. Therefore, this course mainly introduces the main concepts of machine learning, the classification categories of machine learning, the overall process of machine learning, and the common algorithms of machine learning.

In this course, we will learn some mainstream development frameworks in the industry and we will focus on learning PyTorch and TensorFlow 2.

In this course, we will talk about the most popular artificial intelligence technology — deep learning. In this course, we will describe the basic knowledge of deep learning, including its development history, components, and types of deep learning neural networks, and some common problems in deep learning projects.

This course introduces the structure, design concept, and features of MindSpore based on the issues and difficulties faced by the AI computing framework, and describes the development and application process in MindSpore.

This course describes Huawei's Ascend AI chips, and hardware and software architectures of Ascend chips, and full-stack all-scenario solutions of Ascend AI chips.

Huawei HiAI is an open artificial intelligence (AI) capability platform for smart devices, which adopts a "chip-device-cloud" architecture, opening up chip, app, and service capabilities for a fully intelligent ecosystem. This assists developers in delivering a better smart app experience for users by fully leveraging Huawei's powerful AI processing capabilities.

This course will introduce the Huawei Cloud enterprise intelligence application platform.