The world’s largest AI conference for software developers, engineers, architects, ops, and tech leaders. The event spans the full spectrum of artificial intelligence, from model training and agentic systems to enterprise deployment and AI security. Join thousands of AI practitioners for hands-on sessions, expert keynotes, and the tools shaping the next generation of software development.
2027
AI DevWorld Tracks
Agentic AI
Learn about the Agentic AI Ecosystem with autonomous AI agents, multi-agent orchestration, and context engineering. Discover how developers are building agents that plan, reason, and take action, plus the harnesses and frameworks that keep them in control.
AI & ML Engineering
Learn about the engineering disciplines behind production-ready machine learning systems. Topics include model architecture, fine-tuning strategies, evaluation frameworks, and the software engineering practices that separate prototype AI from scalable, production-ready ML.
AI-Augmented Software Development
Explore how AI copilots, code generation, and intelligent tooling are transforming the day-to-day workflows of software engineers. From pair programming with LLMs to AI-assisted testing and debugging, learn how to build faster and smarter.
AI Data Storage, Management & Training
Discover the data technologies and best practices for implementing AI solutions. This track covers RAG architectures, vector databases, synthetic data generation, and the full training and fine-tuning lifecycle.
AI Executive Summit
An exclusive forum for senior technology leaders to engage with the strategic, organizational, and governance implications of AI adoption. Sessions provide forums for candid discussions, peer roundtables, and conversations on how to lead AI transformation at scale.
AI in the Enterprise
Tackle the real-world challenges of deploying AI into production across large organizations, from change management and compliance to integration with legacy systems and measuring ROI. Sessions feature case studies, implementation playbooks, and lessons from teams who’ve done it.
AI Ops, Infrastructure & MCP
Explore the platforms, pipelines, and protocols powering modern AI at scale, including MLOps practices, observability tooling, and the emerging Model Context Protocol (MCP) ecosystem. Gain insight into how top teams build the infrastructure that makes AI reliable and secure in production.
AI Security
Examine the security solutions of AI, including prompt injection, model manipulation, jailbreaking, and supply chain vulnerabilities. Hands-on sessions cover red teaming methodologies, threat modeling for AI systems, and building defenses that hold up under attack.
2027
AI DevWorld Sessions
Coming Soon