Build Your Own Learning Journey

Learn how to build, deploy, and manage intelligent AI agents at scale on Kubernetes using KAgents, from setup to real-world automation and orchestration.

Master CoreDNS, Kubernetes’ default DNS server, in this comprehensive hands-on course! Learn from basics to production configs plugins, custom zones, service discovery, and deep troubleshooting all with practical labs and real-world Kubernetes scenarios.

Learn to build and deploy real AI agents with LLMs, LangChain, RAG, vector databases, LangGraph, and MCP through interactive labs.

Learn to apply AI in real DevOps workflows with basics of LLM, MCP, AI agents, AI‑powered CI/CD and operations pipelines.

Build AI-powered monitoring by combining Prometheus, Grafana, and Python to collect metrics, detect anomalies, forecast trends, and turn alerts into intelligent operations.

Master modern logging & alerting with our hands-on course! Build a scalable observability stack using Grafana Loki, Alloy, and Prometheus.

Build self-healing infrastructure using Python, Prometheus Alertmanager, and Slack ChatOps to detect incidents, trigger remediation actions, and notify teams in real time.

Apply ML to real AIOps data with anomaly detectors, log-clustering models, and time‑series forecasts that power intelligent monitoring dashboards and proactive incident prevention.

Turn Jupyter notebooks into production-grade MLOps using MLflow for experiment tracking and model packaging and Kubeflow Pipelines on Kubernetes for real AIOps use cases.

Master advanced AIOps using distributed tracing with OpenTelemetry and Jaeger to visualize end‑to‑end microservice requests. Perform data‑driven root cause analysis.

Learn how to pair Ansible with AI tools like ChatGPT, GitHub Copilot, Claude Code, and Ansible Lightspeed to generate, debug, and optimize playbooks faster.

Kickstart your programming journey with interactive, hands-on labs!

Learn how modern data pipelines ingest, clean, combine, automate, orchestrate, and serve data through practical Python and Jupyter-based labs.

Practice for CKS certification in a browser-based lab and mock exams that cover cluster hardening, network security, runtime protection, and supply‑chain security with auto‑scoring.

Learn cloud computing essentials—why the cloud matters, IaaS/PaaS/SaaS models, deployment models, security, costs, and core services.

Master cloud‑native observability and ace the OTCA exam. Learn to instrument apps, operate and scale the OpenTelemetry Collector, and build end‑to‑end telemetry pipelines.

Prepare for certification by learning to design, build, and secure data pipelines on GCP using services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

Prepare for Certified Argo Project Associate (CAPA) exam by mastering ArgoCD, Workflows, Rollouts, and Events with labs focused on real Kubernetes GitOps and automation.