Github, Incident Response, Linux Networking, Docker, Terraform, Gitlab, Azure DevOps, Cloudformation, Jenkins, Dashboards, Ansible, metrics, Kubernetes, security basics, alerting, artifact signing, ML GenAI delivery, observability, tracing, model packaging, DevOps practices, secrets management, centralized logging, monitoring hooks, Infrastructure-as-Code, dependency scanning

Python, MLops, Docker, Kubernetes, AWS, TensorFlow Serving

Cloud Platforms (AWS, Azure), MLops, Machine Learning, Python, Kubeflow, ML Pipeline, ML Deployment