- Artificial intelligence
- Wireless and fixed broadband
- Big data and statistics
- English
- miao wang
- Xiaoyu YOU
- Tianxiang Lan
- YING WANG
Advanced
Event organizer(s)
Description
This course will dive in the overall progress of the current global Artificial Intelligence technology status and its the future possibilities; the Cloud Computing development and its trends; the Big Data industry, technology and development; the innovative development of new infrastructure in the digital economy, and the practices such as digital infrastructure, computing infrastructure, follow-up broadband network, IPv6 etc
This training is targeted at technical managers, engineers and employees from regulators, government organizations, telecommunication companies and academia, who are interested in understanding Artificial Intelligence (AI), cloud computing, and Big Data development and application.
The participants are expected to have a telecommunication /ICTs engineering educational background and basic knowledge of ICT, in particular AI and Big Data.
Number of available places for the cohort:
- Max 50 participants
Upon completion of this course, participants will be able to:
- Outline the overall progress of current global Artificial Intelligence and future trend, and be familiar with AI development and governance frameworks;
- Describe Cloud Computing development and analyze its trends;
- Describe Big Data industry, technology and development trends;
- Explain the innovative development of new infrastructure in the digital economy, and list practices applied to digital infrastructure, computing infrastructure development, and follow-up with broadband network, IPv6 etc.
Participants self-learning studies: The participants are required to read and watch the course materials uploaded on the platform;
Tutor-led live and chat zoom sessions: Tutor will deliver live sessions and respond questions raised from participants;
Participants forum: participants and tutors will interact through the ITU Academy forum platform to discuss course topics and express their opinions and submit questions;
Knowledge check: participants are required to take quizzes which will be organized at the end of each week to check their knowledge achievement. The assignment also needs to be submitted at the end of the training course to assess satisfactory understanding of the given topic.
Course Materials: The relevant course material will be made available on the website, which will include presentations and recorded videos with explanation of the key topics. During every week, live sessions of 1.5-2 hours will be held, the tutors will brief or highlight some important parts of their course’s presentations.
Online Discussion Forums: Participants are expected to participate actively in discussion forums on selected topics throughout the week. Tutors will respond to the posts and interact with participants
Chat Sessions: Online chat sessions with the tutor will take place 2-3 times during the two weeks’ time. All participants are expected to join the chat sessions to interact with tutors. The specific time will be sent to participants in advance by tutors.
Quizzes: 2 mandatory online quizzes will be launched at the end of each week and participants are required to submit them before the announced deadline.
Assignment: There will be a mandatory assignment at the end of the course, which is required to submit before the announced deadline.
Quiz1: 15%
Quiz2 15%
Individual Assignment 40%
Discussion Forum1 10%
Discussion Forum2 10%
Live and chat sessions 10%
A total score of 70% or higher is required to obtain the ITU certificate.
September 08-12/WEEK 1
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Observation on the Application Situation of Artificial Intelligence Technology and Industrial Development
Learning Outcomes
- 1.Explore the latest application trends of artificial intelligence (AI) technology and its industrial development trends. Starting from core areas such as machine learning, deep learning, natural language processing, and computer vision,;
- 2.Conduct an in-depth analysis of the extensive applications of AI in fields such as healthcare, finance, education, transportation, smart manufacturing, and smart homes.
Activities
The participants are required to read and watch the course materials uploaded on the platform, participate in live and chat zoom sessions, and interact with tutors and other participants on the forum1.
Quiz1 at the end of each week will be administered to learners to check their knowledge.
Tutors will be online to respond any questions raised by participants through forum or live sessions during the week1.
September 08-12/WEEK 1
2.Cloud computing industry development analysis
Learning Outcomes
- Brief Overview of Cloud Computing Development History
- Global Cloud Computing Development Strategies
- Analysis of cloud computing trends based on cloud computing development experience
3.Development status and trend of Big Data industry
Learning Outcomes
- Overview of Big Data industry
- History of Big Data technology
- Development and trends of Big Data industry in various fields
- Cases of Big Data industry's application
Activities
The participants are required to read and watch the course materials uploaded on the platform, participate in live and chat zoom sessions, and interact with tutors and other participants on the forum1.
Quiz1 at the end of each week will be administered to learners to check their knowledge.
Tutors will be online to respond any questions raised by participants through forum or live sessions during the week1.
September 15-19/WEEK 2
4.Digital Infrastructure Practices
Learning Outcomes
- The innovative development of new infrastructure in the digital economy and its impact on socio-economic and digital transformation
- Case1: the deployment of industrial Internet identification system and its application practice
- Case2: the current situation and practical experience of the deployment, construction and operation in Spark Chain Network
5.Computing Infrastructure: From Global Perspective to Asia-Pacific Practice
Learning Outcomes
- A Global Perspective on Computing Infrastructure
- Development needs of Countries in the Asia-Pacific Region
- Computing Power Industry Development Status and Trend Analysis
- International Business Expansion Strategies and Cooperation Opportunities
- Universality and Reference Significance
6.The Broadband Development Roadmap
Learning Outcomes
- Multiple Measures to Promote Broadband Development
- The Development Status of Global Broadband Networks
- The Follow-up Broadband Development and Evolution
7.Global IPv6 Development and Large-scale Deployment Experience
Learning Outcomes
- IPv6 development history
- IPv6 propulsion support pathway
- IPv6 status and standard system
- Problems with IPv6 deployments
Activities
The participants are required to read and watch the course materials uploaded on the platform, participate in live and chat zoom sessions, and interact with tutors and other participants on the forum2.
Quiz2 at the end of each week will be administered to learners to check their knowledge.
Tutors will be online to respond any questions raised by participants through forum or live sessions during the week2.
Registration information
Unless specified otherwise, all ITU Academy training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.