AI in E-commerce: Product Recommendation Engine Development

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The Professional Certificate in AI in E-commerce: Product Recommendation Engine Development course is a crucial program that equips learners with the knowledge and skills necessary to develop a product recommendation engine. This course is of great importance in the industry as it addressed the growing demand for personalized shopping experiences.

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AboutThisCourse

With 5 units, this course covers the fundamental concepts of AI, data analysis, and recommendation systems, allowing learners to develop a comprehensive understanding of the technology. Upon completion of this course, learners will be equipped with the essential skills to advance their careers in the e-commerce industry, enabling them to develop and implement AI-powered product recommendation engines that drive business growth and customer satisfaction.

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CourseDetails

  • Introduction to AI in E-commerce
  • Deep Learning Fundamentals for Recommendation Systems
  • Building and Training a Product Recommendation Engine
  • Hyperparameter Tuning and Model Evaluation
  • Deploying and Maintaining a Production-Ready Recommendation System

CareerPath

Data Scientist (25%): Responsible for designing and implementing AI models and algorithms for product recommendation engines.

Machine Learning Engineer (23%): Develops and deploys machine learning models and algorithms for AI-driven product recommendation engines.

E-commerce Analyst (21%): Analyzes and interprets data to optimize product recommendation engines for online retail companies.

Software Developer (31%): Designs, develops, and tests software for product recommendation engines, integrating AI and machine learning capabilities.

EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
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PlusCourse £79
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AI IN E-COMMERCE: PRODUCT RECOMMENDATION ENGINE DEVELOPMENT
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London School of International Business (LSIB)
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05 May 2025
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