AI Developer Conference

AI Developer Conference — New York, Nov 14, 2025

What is this about.
This is a one-day, technical summit for AI developers hosted by Andrew Ng and DeepLearning.AI.
Why it matters to you.
• Practical skills: hands-on workshops that speed up development.
• Network: meet 1,200+ peers, speakers, and potential collaborators.
• Signals: see what enterprise and product teams are building next.

Start with a scene
Picture a room in Lower Manhattan.
Rows of laptops glow.
People sketch agent architectures on whiteboards.
An experienced engineer pauses, and says: “What if we treated long tasks like orchestration problems?”
You lean in.
That is the kind of practical thinking the AI Developer Conference fosters.

Why attend
You want to ship faster.
You want ideas that survive production.
You want peers who have deployed real systems.
Does that sound familiar.
The conference follows a sold-out San Francisco edition that drew 700+ builders on March 14, 2025.
Now the series expands to New York with 1,200+ attendees on November 14.
Andrew Ng leads the event.
He is the founder of DeepLearning.AI, former lead of Google Brain, and on the Time100 AI list.

What to expect
Workshops and talks focused on developer productivity.
Agent design for long-horizon tasks.
Techniques to use context windows more effectively.
Multimodal systems combining language, vision, and audio.
Real-world product case studies: fraud detection, credit modelling, personalized financial services.
Think of the program as a toolkit and a lab.
You get patterns you can try at your company the next week.

Hands-on themes — quick bullets
• AI-assisted development workflows to speed iteration.
• Agent orchestration and error mitigation for extended tasks.
• Context-window strategies for accuracy and efficiency.
• Multimodal pipelines from prototype to production.

Practical implications
Will these sessions change your roadmap overnight.
Probably not.
Will they shift your priorities and give you reproducible patterns.
Yes.
Companies that adopt developer-focused workflows see higher throughput and fewer integration surprises.
That is the sort of operational insight we need more of in enterprise AI.

A personal note
I attended the San Francisco edition earlier this year.
I left with three implementation ideas that we tested within weeks.
Two of them improved model iteration speed on production pipelines.
Those outcomes matter more than slides.

Logistics and next steps
Date and place: Convene Brookfield Place, 225 Liberty St, New York, NY on November 14, 2025.
Tickets sell out fast.
If you’re interested in attending, volunteering, or requesting media access, look for details on the event page.
For the official event link and registration, visit https://ai-dev.deeplearning.ai/?utm_campaign=ai-dev-nyc-announcement&utm_medium=social-media&utm_source=dlai-sm.

Closing view
This conference is practical and developer-focused.
It’s not about hype.
It’s about improving how we build AI systems at scale.
If you work on product or platform teams, it’s worth evaluating.
We should treat events like this as part of our continuous learning strategy.
They provide both tactics and networks we can apply immediately.

Full article: https://ai-dev.deeplearning.ai/