Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

AI The LinkedIn Way: A Conversation with Deepak Agarwal

via LinkedIn Learning

This course may be unavailable.

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Reviews

4.8 rating at LinkedIn Learning based on 90 ratings

Start your review of AI The LinkedIn Way: A Conversation with Deepak Agarwal

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.