Atlanta Cloud + AI Conference
The Atlanta Cloud + AI Conference is a community-focused event by and for the cloud community, bringing together local and regional administrators, architects, and experts to share real-world experiences, lessons learned, and best practices. This gathering connects interested individuals with seasoned professionals who have navigated the complexities of modern cloud and AI implementations.
The conference covers a comprehensive range of topics spanning AI applications and intelligent systems, from LLM-powered applications to retrieval augmented generation and AI agents. Attendees can explore practical implementations of AI copilots, developer assistants, and multi-agent systems while learning about prompt engineering strategies and guardrails for hallucination mitigation.
Infrastructure and operations take center stage with sessions on model deployment platforms, LLM inference optimization, and GPU infrastructure management. The event addresses the critical aspects of AI workload orchestration, model serving architectures, and cost-efficient inference strategies that organizations need to master for successful AI implementations.
Cloud-native architecture and Kubernetes orchestration form another major focus area, covering microservices design, event-driven systems, and service mesh adoption. Participants can learn about operator patterns, cluster scaling strategies, and multi-cluster operations while exploring the latest in platform networking and self-service Kubernetes platforms.
The conference also emphasizes professional development and foundational knowledge through dedicated tracks for beginners and students. These sessions cover cloud computing fundamentals, containers and Kubernetes basics, career paths in cloud and AI, and practical skills like building technical portfolios and effective communication for engineers.