Huawei ICT Academy Course Catalog


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March 2022
Huawei ICT Academy Course Catalog

Academy Curriculum classification

General Courses
For students who'd like to start exploring opportunities in tech
No requirements for students' majors Free of charge Usually self-study 2 – 4 lessons/course

Professional Courses
For students who'd like to acquire the practical skills for entry-level technical positions
Closely related to Huawei certifications that are widely recognized across industries Usually instructor-led and about 32-128 lessons per course Combination of hands-on practice and interactive experience

Academy Curriculum Overview Map

Click the course name Redirect to Course Profile

Instructor training

Professional Courses
Connectivity

Cloud & Computing

Self-study

Certification-associated

App Develop

Data Communication and Network Principles and Applications of WLAN

Principles and Applications of Cloud Computing
Data Storage

Internet of Things and Applications

5G Network and Applications

Artificial Intelligence and Applications

General Courses

Introduction to 5G
Development and Basic Concepts of Cloud Computing

Computer Network
Information Representation and Data Organization

Overview of AI Data Management and Analytics

Search and AI

ICT Academy General Course General Technology
Introduction to 5G Knowledge Enroll Now Map

Course Profile

Overview Introduction to 5G Knowledge is aimed at students in non-computer majors to gain a basic understanding of the history and trends in 5G.

Highlights Upon completing this course, students in noncomputer majors will have a basic understanding of the 5G history and outlook, network challenges, and network transformations.

Target Audience Secondary specialized school student, Junior college student, Undergraduate, General audience
Applicable Majors Majors not related to information sciences or computers
Duration 1 – 2 lessons
Recommended Follow-up Course 5G Network and Applications

Self-study Lab environment
Physical devices Online experiment Simulator
Completion certificate

Course Outline
• History and outlook • Industry trends and network
challenges • 5G technology revolution

Course Structure
• 13 course modules • 1 experimental module • 3 quizzes • 1 final exam • 1 course satisfaction survey

ICT Academy Professional Course 5G

5G Network and Applications Sign up today If you are already a student,

Map

contact your academy.

Course Profile

Overview 5G Network and Applications is aimed at students in information sciences and communication engineering majors to help them understand basic mobile communication networks and key 5G network technologies, cultivate their 5G service skills, and understand 5G solutions in related industries.
Highlights This course addresses the talent gap in 5G. It is designed as vocational training. It includes 32 hours of theory, covering 5G development and evolution, 5G network architecture and key technologies, innovative 5G applications, basic 5G services and functions, and 5G industry application solutions.
Career Guidance • After completing this course, students will have the knowledge
and skills required for 5G industry solution engineers and presales solution engineers. • After completing this course, students can directly take the HCIA- 5G certification exam.

Target Audience Secondary vocational college student, higher vocational college student, undergraduate Duration 32 lessons (all for theory)
Applicable Majors Majors related to information sciences and communication engineering
Required Knowledge Communication principles
Recommended Follow-up Course None

Course Outline
• 5G development and evolution
• 5G network architecture and key technologies
• Innovative 5G applications

• Basic 5G services and functions
• 5G industry applications and solutions

Course Structure
• 56 course modules • 4 quizzes • 1 final exam • 1 course satisfaction
survey

Instructor-led
Lab environment Physical devices Online experiment Simulator
Completion certificate

ICT Academy General Course General Technology
Computer Network Enroll Now Map

Course Profile

Overview Computer Network is aimed at students in noncomputer majors to learn the basic scientific concepts about computer networks, the Internet, and the Internet of Things (IoT).

Highlights This course introduces the concept of computer network, operation of Internet services, and basics of IoT and Internet through vivid real-life examples.

Target Audience Secondary specialized school student, Junior college student, Undergraduate, General audience
Applicable Majors Majors not related to information sciences or computers
Duration 1–2 lessons
Recommended Follow-up Course Data Communication and Network Technology

Self-study Lab environment
Physical devices Online experiment Simulator Completion certificate

Course Outline
• Computer networks • Internet protocols • Network resource sharing • IoT • Network operating system — VRP • Huawei switch VLAN configuration

Course Structure
• 15 course modules • 2 experimental modules • 1 final exam • 1 course satisfaction survey

ICT Academy Professional Course Data Communication
Data Communication and Network Sign up today Map
If you are already a student, contact your academy.

Course Profile

Overview Data Communication and Network is intended for students in information science and computer majors to develop their skills in enterprise network construction, O&M, management, and troubleshooting.
Highlights This course addresses the talent gap in datacom networks. It is designed as vocational training, and includes lab practice and in-class quizzes.

Career Guidance • Upon completing this course, students will be able to build
an enterprise network with routers and switches, WLAN, and network security technologies, as well as perform routine network O&M and troubleshooting. • After completing this course, students can directly take the HCIA-Datacom certification exam.

Target Audience Secondary vocational college student, higher vocational college student, undergraduate
Duration 128 lessons (56 for theory and 72 for hands-on practice)
Applicable Majors Majors related to information sciences and computers
Required Knowledge Routing and switching basics, computer application fundamentals
Recommended Follow-up Courses
HCIP-Datacom-Carrier IP Bearer HCIP-Datacom-Advanced Routing & Switching Technology HCIP-Datacom-Network Automation Developer HCIP-Datacom-Campus Network Planning and Deployment HCIP-Datacom-SD-WAN Planning and Deployment HCIP-Datacom-Enterprise Network Solution Design HCIP-Datacom-WAN Planning and Deployment

Course Outline
• Ethernet switch networks • WAN fundamentals • Interconnected IP networks • Data communication and
network fundamentals • WLAN fundamentals

• WAN technology • Network security, services,
and applications • SDN and network
automation fundamentals • Typical campus network
architecture and cases

Course Structure
• 173 course modules • 37 experimental modules • 22 quizzes • 1 final exam • 1 course satisfaction survey

Instructor-led
Lab environment Physical devices Online experiment Simulator
Completion certificate

ICT Academy General Course General Technology
Overview of AI Enroll Now Map

Course Profile

Overview Overview of AI is aimed at students in non-computer majors to gain a basic understanding of the definition, working principles, and development of cloud computing.

Highlights This course introduces the fundamentals of AI, covering the founding and history of AI, schools of thought, major technical trends, as well as controversies and prospects. This course is engaging and uses vivid real-life examples.

Target Audience Secondary specialized school student, Junior college student, Undergraduate, General audience
Applicable Majors Majors not related to information sciences or computers
Duration 1 – 2 lessons
Recommended Follow-up Course Artificial Intelligence and Applications

Self-study Lab environment
Physical devices Online experiment Simulator
Completion certificate

Course Outline

• Machines that think

• AI everywhere

• Schools of thought

• Controversies

• Strong AI vs Weak AI • Bright prospects

• Three major trends in AI

Course Structure
• 7 course modules • 1 final exam • 1 course satisfaction survey

ICT Academy General Course General Technology
Search and AI Enroll Now Map

Course Profile

Overview Search and Artificial Intelligence is aimed at students in non-computer majors to gain a basic understanding of artificial intelligence and the typical applications of search algorithms.

Highlights This course uses game tree cases to introduce the concept of search algorithms and basics of artificial intelligence.

Target Audience Secondary specialized school student, Junior college student, Undergraduate, General audience
Applicable Majors Majors not related to information sciences or computers
Duration 1 – 2 lessons
Recommended Follow-up Course Artificial Intelligence and Applications

Self-study Lab environment
Physical devices Online experiment Simulator
Completion certificate

Course Outline
• Game tree and pruning • Heuristic search • AI and machine learning • Typical AI applications • AI development platforms

Course Structure
• 13 course modules • 2 experimental modules • 1 final exam • 1 course satisfaction survey

ICT Academy Professional Course Artificial Intelligence
Artificial Intelligence and Applications Sign up today Map
If you are already a student, contact your academy.

Course Profile

Overview Artificial Intelligence Technology and Applications is intended for students in computer majors to cultivate their ability to use algorithms such as machine learning and deep learning.
Highlights With AI talent in high demand, we have designed this as a crash course to learn both AI theory and practical skills taught through hands-on projects. Students will complete 32 lessons of theory and 32 lessons of lab practice, covering AI, Python basics, commonly used algorithms for machine learning, and deep learning basics.
Career Guidance • After completing this course, students will be able to master the
basic principles of machine learning and deep learning, laying a solid foundation for future AI project planning and solution design. • After completing this course, students can directly take the HCIA-AI certification exam.

Target Audience Secondary vocational college student, higher vocational college student, undergraduate
Duration 64 lessons (32 for theory and 32 for hands-on practice)
Applicable Majors Majors related to AI and computers
Required Knowledge Python basics, probability theory and mathematical statistics, and programming
Recommended Follow-up Courses HCIP-AI-Network Developer HCIP-AI-Ascend Developer

Course Outline
• Machine learning • Deep learning • AI products and applications • Comprehensive practice

Course Structure
• 66 course modules • 4 experimental modules • 8 quizzes • 1 final exam • 1 course satisfaction survey

Instructor-led
Lab environment Physical devices Online experiment Simulator
Completion certificate

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Huawei ICT Academy Course Catalog