Production-ready skills for the modern enterprise
All courses include hands-on projects, code reviews, and career support
The ultimate 12-16 week program: DevOps Fundamentals → MLOps → LLMOps → AIOps → AI Agents. Transform from DevOps to Production AI Systems!
Master AWS, Azure, and GCP with production-grade DevOps practices. Build CI/CD pipelines and automate everything.
From zero to Kubernetes hero. Deploy, scale, and manage containerized applications in production.
Build production ML pipelines and AI-powered operations. Deploy models at scale.
Build intelligent AI agents using Model Context Protocol. Create autonomous decision-making systems.
Master Docker and container technologies. Build efficient images with security best practices.
Build comprehensive observability solutions. Monitor, alert, and debug production systems.
Every course comes with comprehensive support and resources
Weekly live classes with real-time Q&A and interactive learning.
Real-world projects that mirror enterprise production environments.
Personal feedback on your code from an industry expert.
Resume reviews, mock interviews, and job placement assistance.
Engineers with basic programming knowledge who want to transition into DevOps, Cloud Engineering, or AI/ML Operations. Developers, sysadmins, and graduates are all welcome.
My training is project-driven and mirrors real enterprise scenarios. You'll work on production-grade projects with personal code reviews and feedback.
Basic programming and Linux knowledge is recommended. I provide prerequisite materials for those who need to level up their fundamentals.
Courses range from 8 to 16 weeks. Each includes weekly live sessions, hands-on labs, projects, and lifetime access to recordings.
Yes! All students receive resume reviews, mock interviews, and career guidance. Top performers get connected to companies in my network.
All sessions are recorded and available for later viewing. However, live attendance is encouraged for interactive learning.
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