HCIA - AI

Course Duration

40 hours, 5 -day training workshop

Description

Huawei Certified ICT Associate-AI

Training and certificating engineers who can use algorithms, such as machine learning and deep learning algorithms, to design and develop AI products and solutions and make improvement through innovation.

Capabilities to be certified

Passing the HCIA-AI V3.0 certification will indicate that you: 1)have mastered the AI development history, the Huawei Ascend AI system, the full-stack all-scenario AI strategy,and the algorithms related to traditional machine learning and deep learning. 2) are able to build, train, and deploy neural networks by using development frameworks TensorFlow and MindSpore. 3) competent for sales, marketing, product manager, project management, technical support, and other AI positions.

Knowledge to Learn

The cutting-edge AI technologies and development trends, the full-stack all-scenario AI strategy,the algorithms and development practices related to traditional machine learning, deep learning, development frameworks.

Target Audience

Engineers who need to master AI technologies, learn and use deep learning algorithms, and master Huawei AI-related product technologies.

Prerequisites

None.

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.

Training Content

  1. AI Overview
    1. AI Overview
    2. Technical Fields and Application Fields of AI
    3. Huawei's AI Development Strategy
    4. AI Disputes
    5. Future Prospects of AI
  2. Machine Learning Overview
    1. Machine Learning Definition
    2. Machine Learning Types
    3. Machine Learning Process
    4. Other Key Machine Learning Methods
    5. Common Machine Learning Algorithms
    6. Case Study
  3. Deep Learning Overview
    1. Deep Learning Summary
    2. Training Rules
    3. Activation Function
    4. Regularization
    5. Optimizer
    6. Types of Neural Network
    7. Common Problems
  4. Mainstream Development Frameworks for AI
    1. Mainstream Development Frameworks
    2. TensorFlow 2.x Basics
    3. Common Modules of TensorFlow 2.x
    4. Basic Steps of Deep Learning Development
  5. Huawei AI Development Framework MindSpore
    1. AI Framework Development Trends and Challenges
    2. MindSpore Development Framework
    3. MindSpore Development and Application
  6. Huawei AI Computing Platform Atlas
    1. Overview of AI Chips
    2. Hardware Architecture of Ascend Chips
    3. Software Architecture of Ascend Chips
    4. Huawei Atlas AI Computing Platform
    5. Industry Applications of Atlas
  7. Huawei Open AI Platform for Smart Devices
    1. AI Industry Ecosystem
    2. Huawei HiAI Platform
    3. Developing Apps Based on Huawei HiAI Platform
  8. HUAWEI CLOUD Enterprise Intelligence Application Platform
    1. HUAWEI CLOUD EI Overview
    2. EI Intelligent Twins
    3. AI Services
    4. Case Studies of HUAWEI CLOUD EI
  9. Comprehensive AI Experiment
    1. Machine Learning Experiment
    2. Mainstream Development Framework and Deep Learning Experiment
    3. Huawei AI Computing Framework MindSpore Experiment
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