Career Advancement Programme in AI in Misinformation Detection (Advanced)

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The Career Advancement Programme in AI in Misinformation Detection is an advanced certificate programme comprising 20 units. This programme is crucial as it equips learners with the skills to detect and mitigate misinformation in the digital age.

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With the rapid growth of misinformation, there is a significant industry demand for professionals who can identify and address this issue. This programme enables learners to develop expertise in AI-driven tools and techniques, data analysis, and content evaluation. Upon completion, learners will be well-prepared for a career in misinformation detection and can expect to be in high demand by industries such as media, technology, and government.

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Misinformation Detection Fundamentals
  • AI and Machine Learning for Misinformation Detection
  • Data Preprocessing for Misinformation Detection
  • Misinformation Detection Algorithm Development
  • Supervised Learning for Misinformation Detection
  • Unsupervised Learning for Misinformation Detection
  • Deep Learning for Misinformation Detection
  • Natural Language Processing for Misinformation Detection
  • Image and Video Analysis for Misinformation Detection
  • Misinformation Detection in Social Media
  • Misinformation Detection in Online News
  • Misinformation Detection in Fake Reviews
  • AI for Misinformation Detection in Real-Time
  • Ethics and Bias in Misinformation Detection
  • Legal and Regulatory Framework for Misinformation Detection
  • Collaborative Filtering for Misinformation Detection
  • Graph-Based Methods for Misinformation Detection
  • Explainable AI for Misinformation Detection
  • Real-World Applications of AI for Misinformation Detection
  • Capstone Project: AI for Misinformation Detection

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Percentage breakdown of career roles in the Career Advancement Programme in AI for Misinformation Detection.

Data Scientist (15%): Responsible for developing and implementing AI models for misinformation detection.

Business Analyst (20%): Works with stakeholders to identify business needs and develop strategies for misinformation detection.

Risk Manager (25%): Oversees the implementation of AI-based misinformation detection systems to minimize business risk.

Team Lead (15%): Leads a team of professionals in developing and maintaining AI-based misinformation detection systems.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN AI IN MISINFORMATION DETECTION (ADVANCED)
์—๊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
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