AI The LinkedIn Way: A Conversation with Deepak Agarwal

Course details

Deepak Agarwal is the VP of artificial intelligence (AI) at LinkedIn, a company on the frontline of data science. LinkedIn is heavily invested in AI and machine learning, transformative technologies that can improve all aspects of member experience. This investment is demonstrated in the LinkedIn AI Academy, which trains engineers and other employees on the power, potential, and best practices for developing and using AI tools. In this Q&A style course, Deepak discusses how LinkedIn leverages AI and machine learning, the ways the technology influences our lives, and what's to come, including advice for those wondering "Will AI take our jobs?" and "What skills can I learn in order to start a career in AI?"

Topics include:
What is deep learning?
How does LinkedIn use AI?
What tools does LinkedIn use?
What skills do AI engineers need?
What is the future of AI?

Concepts

0. Introduction

01 - Why use artificial intelligence and machine learning

1. How LinkedIn Leverages AI and ML

02 - How do you define artificial intelligence and machine learning
03 - What exactly is deep learning
04 - What types of problems are best addressed through AI and machine learning
05 - In what ways does LinkedIn use AI
06 - How does LinkedIn decide what tasks will be handled by AI
07 - What are the risks involved in trusting AI to make recommendations to LinkedIn users
08 - What are the main steps to making machine learning work
09 - What are some of the hardest things to get right when implementing AI
10 - Which AI and ML tools does LinkedIn use
11 - What are some of the ethical considerations of working with ML

2. Advice for a Career in AI and ML

12 - What advice would you give to those starting to develop AI
13 - What are the skills needed to have a good foundational understanding of machine learning
14 - What do you look for when hiring an AI engineer
15 - How was the LinkedIn AI Academy developed

3. Looking Ahead

16 - What research projects are you working on to make LinkedIn better at leveraging AI
17 - What are some of the most challenging questions AI needs to address in the future
18 - What are your hopes for the future of AI