Graduate Certificate in AI for Low-Carbon Mobility
-- ViewingNowThe Graduate Certificate in AI for Low-Carbon Mobility is a crucial course designed to address the growing demand for AI specialists in the transportation industry. This program equips learners with essential skills to create innovative, eco-friendly solutions, fostering a sustainable future.
4,504+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Introduction to Artificial Intelligence (AI) &low-carbon Mobility: Understanding the fundamentals of AI and its role in low-carbon mobility. This unit will cover the basics of AI, machine learning, and deep learning, as well as the current state and future potential of low-carbon mobility.
⢠Data Analytics for Low-Carbon Mobility: This unit will cover the collection, management, and analysis of data in the context of low-carbon mobility. Students will learn about different data sources, data cleaning and preprocessing, and data visualization techniques.
⢠Intelligent Transportation Systems: This unit will focus on the design and implementation of intelligent transportation systems, including traffic management, route planning, and autonomous vehicles. Students will learn about the latest technologies and approaches for building smart transportation systems.
⢠AI-Powered Energy Management for Low-Carbon Mobility: This unit will cover the use of AI for energy management in low-carbon mobility. Students will learn about the challenges and opportunities of energy management in electric vehicles, as well as the latest AI-powered solutions for optimizing energy use in transportation.
⢠AI for Public Transportation: This unit will focus on the use of AI in public transportation systems, including route planning, scheduling, and demand forecasting. Students will learn about the latest AI-powered solutions for improving the efficiency and effectiveness of public transportation.
⢠AI Ethics and Policy for Low-Carbon Mobility: This unit will cover the ethical and policy considerations of using AI in low-carbon mobility. Students will learn about the potential risks and benefits of AI in transportation, as well as the current policies and regulations governing the use of AI in this field.
⢠AI for Autonomous Vehicles: This unit will focus on the use of AI in autonomous vehicles, including sensing, perception, and decision-making. Students will learn about the latest technologies and approaches for building safe and reliable autonomous vehicles.
⢠AI for Mobility as a Service (MaaS): This unit will cover the use of AI in Mobility as a Service (MaaS) systems, including
ę˛˝ë Ľ 경ëĄ
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
