Taught a generation of developers machine learning. Here he maps what AI engineers need to learn next.
Session
Main Stage
Date
Monday, November 30
Level
Everyone
// 01 / Bio
Andrew Ng is the founder of DeepLearning.AI, co-founder of Coursera and Managing General Partner at AI Fund. He was the founding lead of the Google Brain team and Chief Scientist at Baidu, and is an Adjunct Professor at Stanford University.
His courses have introduced millions of people to machine learning and AI. At AI Dev he opens the conference with the skills map behind DeepLearning.AI’s curriculum: what to learn, in what order, to build AI applications that work in production.
// 02 / The session
Opening Keynote
Abstract
The AI Engineering Skills Map breaks the job of building with AI into four skill areas, from software engineering fundamentals to building and deploying agentic applications. This keynote walks through the map, shows where developers most often get stuck, and lays out a practical path from first prototype to production system.
Andrew also hosts a fireside chat with Yann LeCun on Day 1 and gives the closing remarks on Day 2.
What you’ll learn
The four skill areas of AI engineering and how they fit together
Where teams most often stall between prototype and production
How to pick the next skill to learn based on what you’re building
// 03 / Courses
Keep learning
Go deeper on what this session covers.
Course
Intermediate
Agentic AI
Andrew’s course on design patterns for building agentic workflows.
Course
Beginner
Machine Learning Specialization
Andrew’s foundational machine learning program, rebuilt in Python. Start here if you want the fundamentals.
Course
Beginner
Generative AI for Everyone
How generative AI works, what it can and can’t do, and how to plan a project around it. No coding required.
AI DEV · BY DEEPLEARNING.AI
Join us at AI Dev
Meet the engineers shipping AI to production, and leave ready to do it yourself.