Why AI Is Here to Stay and How New Developers Can Find the Right Balance

This discussion explores why AI engineering may be a lasting field, the roles available beyond machine learning, and how developers can prepare for AI work. It also covers applications of large language models, the job market, and keeping foundational skills current.

Syllabus

How Sam Julien got into AI engineering
What convinced Sam that AI was here to stay?
Sam was strategic about pursuing AI engineering
The spectrum of career opportunities in AI engineering
Machine learning is not the only thing you can work on!
Break
What is Writer
Writer's own AI models - also available on Hugging Face
Are there opportunities for front-end developers in this space?
How to learn AI engineering?
Using models to teach you how to use models
Did Sam use AI to get a job in AI engineering?
Quick-fire questions: favorite podcasts, music, and people to follow
Do you need an ML certificate?
Novel uses and core applications of AI and LLMs
Should a new developer focus on AI?
How to stay future-proof
It just takes one breakthrough to catch you by surprise
How to use Writer