Overview
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Learn to build robust and scalable AI platforms through this conference talk from Conf42 Platform Engineering 2025. Discover the critical challenges facing AI deployment in production environments and explore comprehensive strategies for creating what the speaker defines as "production paradise" for AI systems. Master containerization strategies specifically designed for AI workloads, including optimized Docker patterns that enhance performance and reliability. Dive into Kubernetes deployment techniques tailored for AI applications, understanding how to leverage orchestration for scalable AI infrastructure. Explore Infrastructure as Code (IaC) principles and learn specific Terraform patterns optimized for AI platform deployment. Understand how GitOps methodologies can automate AI platform management and deployment processes. Examine the return on investment and business impact of implementing bulletproof AI platforms. Receive a practical 30-day implementation plan with actionable steps to transform your AI deployment strategy from concept to production-ready infrastructure.
Syllabus
00:00 Introduction and Overview
00:39 Challenges in AI Deployment
02:00 Defining Production Paradise
02:57 Session Roadmap
03:43 Containerization Strategies
04:46 Optimizing Docker Patterns
06:06 Kubernetes for AI Deployment
07:15 Infrastructure as Code IaC
08:09 Terraform Patterns for AI
09:31 GitOps for Automation
10:31 ROI and Business Impact
11:10 Actionable 30-Day Plan
12:08 Conclusion and Q&A
Taught by
Conf42