Executive Development Programme AI-Driven Social Commerce

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The Executive Development Programme AI-Driven Social Commerce certificate course is a valuable opportunity for professionals aiming to stay ahead in the rapidly evolving world of e-commerce. This programme emphasizes the importance of artificial intelligence (AI) in driving social commerce, an industry that is projected to reach $3.

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37 trillion by 2028. By enrolling in this course, learners will gain essential skills in AI-powered social commerce strategies, enabling them to succeed in a competitive industry. The course covers topics such as AI algorithms, data analytics, social media marketing, and customer engagement, equipping learners with a comprehensive understanding of the field. With a focus on practical application, this programme provides learners with hands-on experience in implementing AI-driven social commerce strategies. As a result, graduates of this course will be well-positioned to advance their careers in e-commerce, marketing, and technology fields.

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Unit 1: Introduction to AI-Driven Social Commerce
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Unit 2: AI Technologies in Social Commerce
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Unit 3: Leveraging Social Media Analytics
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Unit 4: Personalization in Social Commerce
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Unit 5: AI-Powered Chatbots for Customer Engagement
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Unit 6: Social Media Advertising and AI Targeting
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Unit 7: AI-Driven Inventory Management and Supply Chain
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Unit 8: Ethical Considerations in AI-Driven Social Commerce
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Unit 9: Future Trends in AI-Driven Social Commerce
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Unit 10: Developing an AI-Driven Social Commerce Strategy

่Œไธš้“่ทฏ

The Executive Development Programme AI-Driven Social Commerce features a 3D Pie chart that visually represents relevant statistics related to this growing field in the UK. The chart showcases the demand for various roles, offering valuable insights into job market trends. 1. **AI Engineer (25%)**: These professionals design, develop, and implement AI models. Their expertise is in high demand due to the increasing adoption of AI technologies in social commerce. 2. **Data Scientist (20%)**: Data scientists analyze and interpret complex datasets to drive business decisions. Their skills are essential for extracting valuable insights from consumer behavior and market trends in social commerce. 3. **Machine Learning Engineer (18%)**: Machine learning engineers build and maintain machine learning systems, which are critical for developing predictive models and automating processes in AI-driven social commerce. 4. **Business Intelligence Developer (15%)**: These professionals create and maintain business intelligence solutions to help organizations make informed decisions. Their role is crucial in social commerce to better understand customer preferences and market trends. 5. **Data Analyst (12%)**: Data analysts interpret complex datasets and turn them into actionable insights. Their work aids in understanding customer behavior, market trends, and performance metrics in social commerce. The responsive 3D Pie chart dynamically adjusts to different screen sizes, allowing users to access the information on various devices. The transparent background and lack of added background color ensure that the chart blends seamlessly with the rest of the content.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME AI-DRIVEN SOCIAL COMMERCE
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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