The Atlanta Cloud+AI Conference is looking for presenters to share their expertise on a wide variety of cloud and AI topics. Whether you’re a first-time speaker or a seasoned pro, we invite you to submit sessions that you’re passionate about. Below you’ll find details on each category so you can match your proposal to the right track. If you’re unsure where your talk fits, just pick the closest matc and our review team will help place your session appropriately.

1. AI Applications & Intelligent Systems: Building real-world applications powered by AI.

Choose this track if your talk focuses on:

Designing or building applications that use AI capabilities such as LLMs, agents, copilots, or intelligent automation.

Topics:

- LLM-powered applications

- Retrieval Augmented Generation (RAG)

- AI copilots and developer assistants

- AI agents and multi-agent systems

- Prompt engineering strategies

- Tool-using AI systems

- AI application evaluation

- Guardrails and hallucination mitigation

2. AI Infrastructure & Model Operations: Running AI workloads reliably at scale.

Choose this track if your talk focuses on:

Deploying, operating, or optimizing machine learning models and AI systems in production environments.

Topics:

- Model deployment platforms

- LLM inference optimization

- GPU infrastructure and scheduling

- AI workload orchestration

- Model serving architectures

- AI observability

- Model performance monitoring

- Cost-efficient inference

3. Data Platforms for AI: Data systems that power AI and analytics.

Choose this track if your talk focuses on:

Building or operating data platforms that feed machine learning and AI workloads.

Topics:

- Vector databases and embedding pipelines

- Lakehouse architectures

- Streaming data platforms

- Feature stores

- Data quality and validation

- Metadata and lineage

- Data governance

4. Cloud Native Architecture: Designing modern distributed systems.

Choose this track if your talk focuses on:

Architectural patterns and design decisions for building scalable, cloud-native applications.

Topics:

- Microservices architecture

- Event-driven systems

- API-first architecture

- Service mesh adoption

- Stateful cloud-native systems

- Workflow orchestration

- Distributed consistency patterns

- Internal developer platform architectures

- Golden path platform patterns

5. Kubernetes & Workload Orchestration: Operating container platforms and clusters.

Choose this track if your talk focuses on:

Deploying, managing, or scaling workloads using Kubernetes or other orchestration platforms.

Topics:

- Kubernetes architecture

- Cluster scaling strategies

- Multi-cluster operations

- Operator patterns

- Scheduling and resource management

- GPU scheduling for AI workloads

- Platform networking

- Self-service Kubernetes platforms

6. Serverless & Event Platforms: Highly scalable event-driven computing.

Choose this track if your talk focuses on:

Serverless architectures, event-driven applications, or asynchronous distributed systems.

Topics:

- Function-as-a-Service architectures

- Event streaming systems

- Event-driven microservices

- Durable workflows

- Serverless AI inference

- Async processing architectures

7. Cloud Infrastructure & Infrastructure as Code: Foundations of cloud environments.

Choose this track if your talk focuses on:

Provisioning, automating, and managing cloud infrastructure and environments.

Topics:

- Infrastructure as Code patterns

- GitOps workflows

- Immutable infrastructure

- Multi-cloud architectures

- Resource provisioning automation

- Cloud networking design

- Storage and compute optimization

- Self-service infrastructure platforms

8. Observability, Reliability & SRE: Operating distributed systems in production.

Choose this track if your talk focuses on:

Monitoring, debugging, and improving reliability of cloud and distributed systems.

Topics:

- Observability platforms

- OpenTelemetry pipelines

- Distributed tracing

- Service Level Objectives (SLOs)

- Incident management

- Chaos engineering

- Debugging production systems

- Developer productivity metrics

9. Security, Identity & AI Safety: Securing modern cloud and AI systems.

Choose this track if your talk focuses on:

Security practices, threat detection, identity management, or protecting AI systems.

Topics:

- Zero trust architecture

- Identity and access management

- Secrets management

- Software supply chain security

- Runtime threat detection

- AI model security

- Prompt injection defenses

- AI governance and compliance

10. Multi-Cloud, Edge & Hybrid Systems: Distributed computing across environments.

Choose this track if your talk focuses on:

Architectures that span multiple clouds, on-premise systems, edge environments, or IoT platforms.

Topics:

- Hybrid cloud architecture

- Edge computing platforms

- IoT platforms

- Multi-cloud orchestration

- Edge AI inference

- 5G-enabled distributed workloads

11. Professional Development & Soft Skills: Skills for career growth and leadership in cloud and AI.

Choose this track if your talk focuses on:

Career growth, leadership, communication, or organizational transformation in technical teams.

Topics:

- Career management and mentorship

- Team building and engineering leadership

- Starting or running a tech consulting business

- Resume building and interview preparation

- Public speaking and presenting technical topics

- Effective communication for engineers

- Managing organizational change

- Leading cloud and AI transformations

12. Cloud & AI Foundations (Student / Beginner Track): Entry-level sessions for students and early-career engineers.

Choose this track if your talk focuses on:

Introductory concepts, learning paths, or practical skills for people beginning their journey in cloud or AI.

Topics:

- Introduction to cloud computing

- Containers and Kubernetes basics

- Introduction to AI and machine learning

- Building your first cloud application

- Prompt engineering fundamentals

- DevOps basics and CI/CD

- Git and collaborative development

- Career paths in cloud and AI

- Building a technical portfolio

Not Sure Where You Fit?

No worries. Pick the closest track or email us with your questions. We’re excited to see your session ideas and will work with you to ensure they land in the best place.

Remember:

In-Person Event: The conference is fully in-person, and we do not provide hotel or travel coverage.

Session Length: 60 minutes, including Q&A.

Speaker Levels: We encourage all levels—beginner to expert—to submit.

Thank you for your interest in speaking at the Atlanta Cloud+AI Conference 2026. We look forward to reviewing your submissions and hosting an engaging, educational event for the cloud community!

THERE IS NO HOTEL OR TRAVEL COVERAGE