APR282026

DeepLearning.AI Dev 26

by DeepLearning.AI

conferenceIn-PersonCompleted

The Premier AI Developer Conference by Andrew Ng

April 28–29, 2026·Pier 48, San Francisco, California·3,000+ attendees·Paid
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THE DAILY BRIEF
APR282026
DeepLearning.AI Dev 26

by DeepLearning.AI

conferenceIn-Personupcoming

The Premier AI Developer Conference by Andrew Ng

About This Event

DeepLearning.AI Dev 26 is a two-day technical conference hosted by Andrew Ng, founder of DeepLearning.AI and pioneer in machine learning education. Designed specifically for AI developers, the event brings together 3,000+ practitioners for deep technical sessions, hands-on workshops, live coding demos, and an AI startup track. Unlike executive-focused AI conferences, Dev 26 targets engineers building production AI systems with emphasis on practical implementation, code-level techniques, and real-world deployment challenges. The event features workshops on LLM fine-tuning, RAG architectures, agentic systems, and MLOps best practices.

At a Glance

Date
April 28–29, 2026
Location
Pier 48, San Francisco, California
Format
In-Person
Event Type
Conference
Status
Completed
Expected Attendance
3,000+
Pricing
Paid
Organizer
DeepLearning.AI
Added
Mar 18, 2026
Updated
Mar 18, 2026

Topics & Focus Areas

LLM Fine-Tuning and DeploymentRAG (Retrieval-Augmented Generation)Agentic AI SystemsMLOps and Model DeploymentPrompt EngineeringVector DatabasesAI Safety and AlignmentProduction ML PipelinesAI Development ToolsHands-On Coding Workshops

Who Should Attend

  • AI/ML Developers
  • Software Engineers
  • Machine Learning Engineers
  • Research Engineers
  • AI Startup Founders
  • Full-Stack Developers
  • Data Scientists
  • Platform Engineers
  • DevOps Engineers (AI/ML)
  • Technical AI Leads

Organizer

D

DeepLearning.AI

deeplearning.ai

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About This Event

DeepLearning.AI Dev 26 is a two-day technical conference hosted by Andrew Ng, founder of DeepLearning.AI and pioneer in machine learning education. Designed specifically for AI developers, the event brings together 3,000+ practitioners for deep technical sessions, hands-on workshops, live coding demos, and an AI startup track. Unlike executive-focused AI conferences, Dev 26 targets engineers building production AI systems with emphasis on practical implementation, code-level techniques, and real-world deployment challenges. The event features workshops on LLM fine-tuning, RAG architectures, agentic systems, and MLOps best practices.

At a Glance

Date
April 28–29, 2026
Location
Pier 48, San Francisco, California
Format
In-Person
Event Type
Conference
Status
Completed
Expected Attendance
3,000+
Pricing
Paid
Organizer
DeepLearning.AI
Added
Mar 18, 2026
Updated
Mar 18, 2026

Topics & Focus Areas

LLM Fine-Tuning and DeploymentRAG (Retrieval-Augmented Generation)Agentic AI SystemsMLOps and Model DeploymentPrompt EngineeringVector DatabasesAI Safety and AlignmentProduction ML PipelinesAI Development ToolsHands-On Coding Workshops

Who Should Attend

  • AI/ML Developers
  • Software Engineers
  • Machine Learning Engineers
  • Research Engineers
  • AI Startup Founders
  • Full-Stack Developers
  • Data Scientists
  • Platform Engineers
  • DevOps Engineers (AI/ML)
  • Technical AI Leads

Why Attend

DeepLearning.AI Dev 26 is the only major AI conference designed exclusively for developers building production AI systems. Hosted by Andrew Ng—one of the most influential figures in machine learning education—the event delivers technical depth impossible to find at executive-focused conferences. Attendees gain hands-on experience with LLM fine-tuning, RAG architectures, and agentic systems through live coding workshops led by engineers from leading AI companies. The AI startup track provides a dedicated space for founders building AI-first products to showcase demos and connect with developers solving similar technical challenges.

Event Features

  • Hosted by Andrew Ng (DeepLearning.AI founder)
  • Two-day technical program (April 28-29)
  • Hands-on coding workshops
  • Live AI demos and implementations
  • AI startup track and showcase
  • Deep technical sessions (no marketing talks)
  • Workshops on LLM fine-tuning, RAG, agentic AI
  • MLOps and deployment best practices
  • Networking with 3,000+ AI developers
  • Waterfront venue (Pier 48, San Francisco)
  • Early bird pricing available
  • Demo tables and sponsor booths

What Makes This Unique

  • Hosted by Andrew Ng (ML education pioneer)
  • Developer-focused (no executive fluff)
  • Hands-on workshops (not just talks)
  • AI startup track (exclusive to Dev 26)
  • Technical depth (code-level sessions)
  • Intimate size (3,000 vs 20,000+ at other conferences)

Featured Speakers From

DeepLearning.AIAndrew Ng (Host)

Industries Represented

Software DevelopmentAI StartupsMachine LearningDeveloper ToolsEnterprise AIResearch LabsSaaS PlatformsAI Infrastructure

Event Scale

50+
Speakers

Pricing Details

Early bird discount available. Standard pricing ranges from $534 to $854 USD. Limited seats available. Group discounts and sponsorship opportunities available.

Organizer

D

DeepLearning.AI

deeplearning.ai

Frequently Asked

When is DeepLearning.AI Dev 26?
DeepLearning.AI Dev 26 takes place April 28–29, 2026 in San Francisco, California.
Where is DeepLearning.AI Dev 26 held?
DeepLearning.AI Dev 26 is held in San Francisco, California. The event format is in-person.
How much does DeepLearning.AI Dev 26 cost?
DeepLearning.AI Dev 26 is paid. Early bird discount available. Standard pricing ranges from $534 to $854 USD. Limited seats available. Group discounts and sponsorship opportunities available.
Who should attend DeepLearning.AI Dev 26?
DeepLearning.AI Dev 26 is aimed at AI/ML Developers, Software Engineers, Machine Learning Engineers, Research Engineers, AI Startup Founders, Full-Stack Developers, Data Scientists, Platform Engineers, DevOps Engineers (AI/ML), Technical AI Leads.
What topics does DeepLearning.AI Dev 26 cover?
DeepLearning.AI Dev 26 covers LLM Fine-Tuning and Deployment, RAG (Retrieval-Augmented Generation), Agentic AI Systems, MLOps and Model Deployment, Prompt Engineering, Vector Databases, AI Safety and Alignment, Production ML Pipelines, AI Development Tools, Hands-On Coding Workshops.
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