Professional Certificate in ML for Advertising: Smart Systems

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The Professional Certificate in ML for Advertising: Smart Systems is a comprehensive course that empowers learners with essential skills for career advancement in the rapidly evolving field of advertising. This program focuses on the application of machine learning (ML) techniques to optimize advertising systems, enabling businesses to make data-driven decisions and improve their advertising strategies.

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AboutThisCourse

In high demand, ML engineers and data scientists are increasingly sought after in the advertising industry to develop smart systems that drive efficiency and maximize ROI. This certificate course equips learners with the necessary skills to design, build, and implement ML models for advertising, while also emphasizing the importance of ethical considerations in AI. By completing this course, learners will not only be prepared to meet the industry's growing need for ML experts but also contribute to the development of responsible AI in advertising.

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CourseDetails

โ€ข Unit 1: Introduction to Machine Learning
โ€ข Unit 2: Data Preprocessing for Advertising ML Models
โ€ข Unit 3: Supervised Learning Algorithms in ML for Advertising
โ€ข Unit 4: Unsupervised Learning Techniques in ML for Advertising
โ€ข Unit 5: Deep Learning and Neural Networks
โ€ข Unit 6: Natural Language Processing (NLP) for Advertising
โ€ข Unit 7: Computer Vision and Image Recognition in Advertising
โ€ข Unit 8: Model Evaluation and Selection
โ€ข Unit 9: Ethical Considerations in Advertising ML
โ€ข Unit 10: Deploying and Maintaining Advertising ML Systems

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £149
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £99
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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PROFESSIONAL CERTIFICATE IN ML FOR ADVERTISING: SMART SYSTEMS
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UK School of Management (UKSM)
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05 May 2025
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