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Getting Started with Amazon Personalize

With Amazon Personalize, you can build applications with the machine learning (ML) technology used by Amazon for real-time personalized recommendations. No ML expertise is required. In this course, you will learn how to use Amazon Personalize to build a personalized product experience for your customers. You will learn the basic terminology, important benefits and features, typical use cases, and costs. You will review the solution architecture you can use to build your own recommendation engines and personalization solutions. Through a guided tutorial, you will also build a movie recommendation engine solution in your own Amazon Web Services (AWS) account, which you can further adapt to your use case.
Duration 5 Months
Institution Amazon Web Services
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Amazon Web Services.

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Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $82
Total Est. Investment $82

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Getting Started with Amazon Personalize program at Amazon Web Services are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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