Overview
AI Dev NYC 2026 is a two-day technical conference for engineers and builders who develop applications with AI. It is hosted by the DeepLearning.AI team together with Andrew Ng. The event focuses on hands-on, practical knowledge from practitioners who have shipped real systems, rather than product pitches. Attendees can learn from these speakers, plan their technology stack, and apply new skills to their own projects. The organizers describe the expected audience as about 2,500 AI engineers and builders.
Date and venue
The conference takes place from November 30 to December 1, 2026, at Chelsea Piers in New York City.
Who it is for
The event is aimed at developers and technical builders working with AI. Past attendees have described it as a conference for real engineers, with booths and breakout sessions targeted at developers.
Format
The event spans two days and combines technical sessions, keynotes, workshops, booths, and networking. Every pass includes full agenda access, workshops, networking, and a post-event recap.
Speakers
Andrew Ng, founding lead of Google Brain and co-founder of Coursera and DeepLearning.AI, will deliver the keynote "The AI Engineering Skills Map." Yann LeCun, Executive Chairman of AMI Labs and ACM Turing Award laureate, will join Andrew Ng in conversation. Other listed speakers include:
- Salil Sethi, Applied AI Lead, Strategic Startups, OpenAI, on building reliable production agents
- Tariq Shaukat, CEO, Sonar, on building trust in AI-generated code
- Stephen Chin, VP of Developer Relations, Neo4j, on building AI applications with GraphRAG
- Richmond Alake, Director of AI Developer Experience, Oracle, on engineering memory for reliable agents
- Dennis Pilarinos, CEO, Unblocked, on giving coding agents real-world context
- Joel Niklaus, Machine Learning Engineer, Hugging Face, on optimizing harnesses and synthetic data
- Brendan Collins, Executive Director, NYC Tech Talent Pipeline, on connecting NYC talent to tech careers
- Dylan Couzon, Developer Relations Lead, Qdrant, on retrieval, agents, and robotics
- Santosh Kumar Radha, CTO, AgentField, on building an open-source software factory
Technical sessions
The sessions are organized by topic and skill level:
- Grounding models with data: Implement GraphRAG with Knowledge Graphs (Intermediate)
- Making systems secure and reliable: Analyze AI-Generated Code for Quality and Security (Intermediate)
- Managing data: Engineer Persistent Memory for AI Agents (Advanced)
- Building agentic systems: Explore Meta-Harness Architectures for AI Agents (Expert)
- Designing system architectures: Architect Agentic Systems for Financial Workflows (Beginner)
- Enabling agent autonomy: Implement Browser Automation for AI Agents (Intermediate)
- Customizing the agent and its environment: Engineer Repository Context for Coding Agents (Advanced)
- Operating in production: Deploy Reliable AI Agents in Production (Advanced)
- Machine learning foundations: Engineer Synthetic Data for Open LLMs (Expert)
Tickets
- Standard: $599, includes the full two-day program and all workshops
- Pro: $799, includes the full two-day program and workshops, plus one year of DLAI Pro
Team tickets are available by emailing aidev@deeplearning.ai.
Past events
The series has held three sold-out editions, with more than 6,000 developers and over 100 technical sessions. Past speakers have included representatives from OpenAI, Hugging Face, Vercel, LangChain, Replit, Lovable, NVIDIA, Google DeepMind, and Stanford. Recap videos from past New York City and San Francisco events are published on the page.
Questions
The site addresses common questions about who AI Dev is for, how it differs from other AI conferences, and whether companies can sponsor or run a workshop. Organizations can also host a session. For general inquiries, contact aidev@deeplearning.ai.
