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LinkedIn Learning

AI The LinkedIn Way: A Conversation with Deepak Agarwal

via LinkedIn Learning

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Overview

Deepak Agarwal, the VP of artificial intelligence (AI) at LinkedIn, answer questions about AI's role at LinkedIn, careers in the field, and the future of the technology.

Syllabus

Introduction
  • Why use artificial intelligence and machine learning?
1. How LinkedIn Leverages AI and ML
  • How do you define artificial intelligence and machine learning?
  • What exactly is deep learning?
  • What types of problems are best addressed through AI and machine learning?
  • In what ways does LinkedIn use AI?
  • How does LinkedIn decide what tasks will be handled by AI?
  • What are the risks involved in trusting AI to make recommendations to LinkedIn users?
  • What are the main steps to making machine learning work?
  • What are some of the hardest things to get right when implementing AI?
  • Which AI and ML tools does LinkedIn use?
  • What are some of the ethical considerations of working with ML?
2. Advice for a Career in AI and ML
  • What advice would you give to those starting to develop AI?
  • What are the skills needed to have a good foundational understanding of machine learning?
  • What do you look for when hiring an AI engineer?
  • How was the LinkedIn AI Academy developed?
3. Looking Ahead
  • What research projects are you working on to make LinkedIn better at leveraging AI?
  • What are some of the most challenging questions AI needs to address in the future?
  • What are your hopes for the future of AI?

Taught by

Deepak Agarwal

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4.8 rating at LinkedIn Learning based on 90 ratings

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