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Where learning becomes deployment.
FOR ENGINEERS
Move beyond notebooks. Learn Docker, AWS, MLOps, and production-grade AI systems built for real-world deployment.
Explore CoursesFOR BUSINESS OWNERS
Identify high-ROI workflows and deploy AI solutions without $50K agency contracts or unnecessary complexity.
Book a DiagnosticFOR ENGINEERS
Docker, CI/CD, cloud deployment, monitoring, and infrastructure design beyond local experimentation.
RAG pipelines, vector databases, agent workflows, and scalable LLM integrations.
Production-focused mock interviews, system design discussions, and real hiring expectations.
FOR BUSINESS OWNERS
We start with your workflow, not tools. The goal is measurable ROI — not experimentation for its own sake.
No over-engineering. No vendor lock-in. Only practical systems your team can maintain.
Leave with a clear roadmap and one working implementation, not just a theoretical strategy deck.
TRUSTED BY ENGINEERS & FOUNDERS
“The production deployment modules completely changed how I approach ML projects. I shipped my first real API within 3 weeks.”
“We reduced inference costs by 35% after implementing the optimization strategy covered in the MLOps section.”
“The AI roadmap session gave us clarity. We implemented one workflow and saw ROI in under 60 days.”
Choose your path and move forward with clarity.
FOUNDER & INSTRUCTOR
Data Science & AI Systems Educator
I focus on bridging the gap between experimentation and production. My work centers around helping engineers ship real AI systems and helping businesses implement AI with measurable impact.
The goal is simple: practical systems, clear thinking, and deployment that actually survives real-world constraints.