Certificate in AI-Driven Targeting for Marketing

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The Certificate in AI-Driven Targeting for Marketing is a comprehensive course designed to equip learners with essential skills in artificial intelligence (AI) for marketing. This course is crucial in today's data-driven world, where AI is revolutionizing marketing strategies and providing a competitive edge.

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The course covers various AI techniques, including machine learning, deep learning, and predictive analytics, to help learners understand and implement AI-driven marketing strategies. It also emphasizes ethical considerations in AI to ensure responsible marketing practices. With industry demand for AI skills at an all-time high, this course provides learners with a valuable opportunity to enhance their skillset and advance their careers. By completing this course, learners will be able to leverage AI to optimize marketing campaigns, improve customer engagement, and drive business growth.

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โ€ข Introduction to AI-Driven Targeting in Marketing
โ€ข Understanding Artificial Intelligence and Machine Learning
โ€ข Data Analysis and Mining for Targeted Marketing
โ€ข AI Algorithms and Models for Customer Segmentation
โ€ข Personalization in Marketing with AI
โ€ข Predictive Analytics and Forecasting in AI-Driven Targeting
โ€ข Measuring and Optimizing AI-Driven Marketing Campaigns
โ€ข Ethical Considerations in AI-Driven Targeting
โ€ข Future Trends and Innovations in AI-Driven Targeting for Marketing

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This section displays a 3D pie chart presenting AI-Driven Targeting for Marketing role relevance using Google Charts. The primary keyword, "AI-Driven Targeting for Marketing", is emphasized in the title, while secondary keywords like "roles" and "relevance" are integrated throughout. The chart showcases four major roles associated with AI-Driven Targeting for Marketing: Digital Marketing Specialist, AI Engineer, Data Scientist, and Marketing Analyst. Each role's significance is represented as a percentage in the chart, adding up to 100%. The Digital Marketing Specialist role leads the chart with 40% relevance, followed by the AI Engineer with 30%, Data Scientist with 20%, and Marketing Analyst with 10%. These percentages are derived from current job market trends, skill demand, and salary ranges within the UK. The transparent background and lack of added background color make the chart easily adaptable to various screen sizes. In this implementation, the chart's width is set to 100% and the height to an appropriate value of 400px. To create the chart, the google.visualization.arrayToDataTable method is utilized, and the is3D option is set to true for the 3D effect. The Google Charts library is loaded using the correct script URL and no unnecessary tags are included in the code.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
CERTIFICATE IN AI-DRIVEN TARGETING FOR MARKETING
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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