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Certificate Programme in AI and Autonomous Vehicles for Non-Engineers

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The Certificate Programme in AI and Autonomous Vehicles for Non-Engineers is a comprehensive course designed to empower non-engineering professionals with the essential skills required to excel in the rapidly evolving field of AI and Autonomous Vehicles. This programme highlights the importance of AI technology in the automotive industry and its impact on society.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

In today's digital age, there is increasing industry demand for professionals who can understand and apply AI technologies in various domains. This course equips learners with the knowledge and skills to meet this demand, providing a solid foundation in AI and Autonomous Vehicles, including perception systems, motion planning, and control. By completing this programme, learners will gain a competitive edge in their careers, with the ability to contribute to AI and Autonomous Vehicle projects, initiatives, and teams. They will be able to communicate effectively with technical teams, understand the challenges and opportunities of AI in the automotive industry, and drive innovation and growth in this exciting field.

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Artificial Intelligence (AI): Understanding the basics of AI, its history, and its impact on society and business.
  • Data Analysis for AI: Learning data analysis techniques, data preprocessing, and data visualization for AI applications.
  • Machine Learning Fundamentals: Exploring the concepts and techniques of machine learning, including supervised and unsupervised learning.
  • Deep Learning for Autonomous Vehicles: Delving into deep learning techniques, including neural networks and convolutional neural networks, for autonomous vehicle applications.
  • Computer Vision for Autonomous Vehicles: Learning about computer vision techniques, including image recognition and object detection, for autonomous vehicle applications.
  • Natural Language Processing (NLP) for AI: Understanding the basics of NLP, including text analysis, sentiment analysis, and language translation.
  • AI Ethics and Regulations: Exploring the ethical considerations and regulations surrounding AI and autonomous vehicles.
  • AI Project Development and Deployment: Learning about AI project development, including prototyping, testing, and deployment.
  • AI Applications for Business: Exploring AI applications in various industries, including finance, healthcare, and marketing.
  • AI Case Studies and Real-World Applications: Studying real-world AI and autonomous vehicle case studies, including successes and failures.

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

  1. Data Scientist โ€” in-demand career path aligned with this qualification (30%)
  2. AI Product Manager โ€” in-demand career path aligned with this qualification (25%)
  3. AI Ethicist โ€” in-demand career path aligned with this qualification (15%)
  4. AI Business Strategist โ€” in-demand career path aligned with this qualification (20%)
  5. AI Content Curator โ€” in-demand career path aligned with this qualification (10%)

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ์„ธํ•œ ์ฝ”์Šค ์ •๋ณด๋ฅผ ๋ณด๋‚ด๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN AI AND AUTONOMOUS VEHICLES FOR NON-ENGINEERS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
์ƒˆ ๋“ฑ๋ก
4.8

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