DEVOPS & MLOPS COURSE THE INFRASTRUCTURE BEHIND MODERN SOFTWARE & AI Build • Automate • Deploy • Scale Why DevOps & MLOps? CODING IS ONLY THE BEGINNING. Automate workflows Deploy applications Manage cloud infrastructure Scale systems Operate ML models DevOps → Software MLOps → AI The Modern Engineering Journey CODE → AUTOMATE → DEPLOY → SCALE → MONITOR For AI: DATA → TRAIN → DEPLOY → MONITOR → RETRAIN Learn how modern systems move into production. FROM CODE TO PRODUCTION What You’ll Learn TWO SKILLSETS. ONE LEARNING PATH DEVOPS Linux & Git CI/CD Docker Kubernetes Cloud Terraform Monitoring MLOPS ML Lifecycle MLflow Model Deployment ML Pipelines Model Monitoring Course Modules FUNDAMENTALS → PRODUCTION Linux & Networking Git & GitHub CI/CD & Jenkins Docker Kubernetes Cloud & Terraform Monitoring MLOps Fundamentals MLflow Model Deployment ML Pipelines Model Monitoring DevOps Toolchain CODE TO CLOUD Git → CI/CD → Docker → Kubernetes → Cloud → Monitoring Tools: Git • GitHub • Jenkins • Docker • Kubernetes • Terraform • Prometheus • Grafana MLOps Workflow MODEL TO PRODUCTION DATA → TRAIN → TRACK → REGISTER → DEPLOY → MONITOR Python • MLflow • Docker • CI/CD Hands-On Projects 01 — CI/CD Application Deployment Code → Build → Test → Deploy 02 — Dockerized Application Containerize & deploy 03 — Kubernetes Deployment Deploy & scale applications 04 — End-to-End MLOps Data → Train → Deploy → Monitor What You’ll Build CI/CD pipelines Docker applications Kubernetes deployments Cloud infrastructure Monitoring dashboards ML deployment pipelines THEORY TO PRACTICE Course Benefits PRACTICAL — Real engineering workflows AUTOMATION — Build efficient pipelines CLOUD-READY — Understand modern infrastructure PRODUCTION-FOCUSED — Go beyond development AI-READY — Operationalize ML workflows PROJECT-BASED — Build portfolio projects Skills You Develop DevOps: Linux • Git • CI/CD • Docker • Kubernetes • Cloud • Terraform MLOps: Python • MLflow • ML Pipelines • Model Deployment • Monitoring Career Pathways DEVOPS DevOps Engineer Cloud Engineer SRE Platform Engineer MLOPS MLOps Engineer ML Engineer AI/ML Infrastructure Engineer Conclusion The future of software and artificial intelligence depends on more than just writing code or building models. The DevOps & MLOps Course is designed to help learners develop these industry-relevant skills through practical learning, real-world workflows, hands-on projects, and modern tools. Contact Us Visitus:https://www.zenshintechnologies.c om/courses/devops-and-mlops-course 8056565980 Contact@zenshintechnologies.com