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Introduction to Information Retrieval with Amazon Q

This course provides an overview of how Amazon Q can search for and summarize information to answer users' questions in a safe, faithful, helpful and responsible manner. The focus would be on finding and presenting information from reliable sources to address users' informational needs. Amazon Q aims to have thoughtful, nuanced discussions and looks forward to further conversations. In this course, you will learn to: - Understand why upskilling in generative AI increases productivity - Identify some challenges that enterprises face when they try to adopt generative AI for their workforce - Define Generative AI Stack - Understand the different versions of Amazon Q and the appropriate use cases. - Define the key use cases for Amazon Q business expert. - Describe how Amazon Q business expert can help business users become more productive. - Define the key use cases for Amazon Q for AWS Builder Use - Gain a practical understanding of how to use Amazon Q for AWS Builder Use improve developer productivity and creativity.
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.

language

Language Proficiency

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

Detailed Fees Breakdown

Base Tuition Fee $215
Total Est. Investment $215

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

Academic Trajectory

Program Outcome

Graduates of the Introduction to Information Retrieval with Amazon Q 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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