Cloud Engineering & DevOps UPCOMING
Kubernetes Engineering Masterclass: Service Mesh and GitOps
Secure every interaction. Implement advanced routing and fully automated, declarative cluster states.
17-18 Oct 2026 (Sat, Sun)
16 Hours Live
24 Sessions
# What You'll Learn
Lock down cluster security using strict RBAC and Network Policies
Deploy a Service Mesh for mutual TLS and advanced traffic routing
Implement a true GitOps lifecycle using ArgoCD
Debug complex, multi-layered cluster failures systematically
# Curriculum
- Roles vs ClusterRoles 30:00
- RoleBindings & Service Accounts 30:00
- Auditing Permissions 30:00
- Default Deny-All Configurations 30:00
- Allowing Inter-namespace traffic 30:00
- Testing Egress Restrictions 30:00
- Node Selectors & Affinity 30:00
- Taints and Tolerations 30:00
- Pod Anti-Affinity (High Availability) 30:00
- Dropping Linux Capabilities 30:00
- Running Non-Root Configurations 30:00
- Pod Security Admission Controllers 30:00
- Service Mesh Architecture & Sidecars 30:00
- Enabling Strict mTLS 30:00
- Canary Deployments & Traffic Splitting 30:00
- Kiali Traffic Visualization 30:00
- Distributed Tracing (Jaeger) 30:00
- Prometheus SLA Metrics 30:00
- The GitOps Philosophy 30:00
- Deploying the ArgoCD Controller 30:00
- Automated Syncing and Drift Correction 30:00
- Zero Trust App Requirements 30:00
- Live Lab: The Untouchable Cluster 60:00
- Simulated Intrusion Test 30:00
# Sessions Plan
Day 1
Saturday, 17 October
04:30 am - 01:30 pm
Day 2
Sunday, 18 October
04:30 am - 01:30 pm
# Prerequisites
- Advanced Kubernetes Knowledge
- Helm Experience
# Your Instructor
Kamal Kumar
Principal Consultant · Azure & Kubernetes Expert
Kamal Kumar is a seasoned Cloud, DevOps, and AI practitioner with 9+ years of hands-on experience building and scaling enterprise systems. As a Microsoft Certified Trainer (MCT), he has conducted 300+ technical interviews and trained 200+ engineers across the globe. His teaching philosophy is ruthlessly practical — real projects, real tools, zero fluff.
Microsoft Certified Trainer (MCT)Microsoft Certified Solutions Architect (AZ-305)Microsoft Certified AI Engineer (AI-103)Azure Solutions Architect (AZ-300)Kubernetes Administrator (CKA)DevOps Expert (AZ-400)HashiCorp Terraform Associate9+ Years Cloud & DevOpsCloud: Azure & AWSIaC: Terraform & Bicep
# FAQ
We cover the universal concepts and implement either Istio or Linkerd.
Yes. Aicademy ships scenarios across Kubernetes (CKA, CKAD, CKS) and hands-on AI tracks. The free tier gives you 40 labs to start. A Labs subscription unlocks all 400+ plus new ones shipped every month.
No. Aicademy spins up an isolated KIND cluster on your local machine per scenario. KIND (Kubernetes in Docker) is the only prerequisite alongside Docker. No AKS, no EKS, no cloud bill.
The CLI assumes KIND because the scenarios rely on deterministic setup commands and pre-built cluster templates. You can point the verify step at any kubeconfig you like, but the auto-setup flow is tuned for KIND. Labs Pro questions that require Service Mesh or GitOps only against KIND clusters.
Yes. Install Docker Desktop for Mac (with the bundled Kubernetes CLI enabled), then `uv tool install aicademy`. M1, M2, M3, and Intel Macs are all supported.
Yes. Install Docker Desktop for Windows with WSL2 backend. Open PowerShell, WSL, or Git Bash and run `uv tool install aicademy`. Cross-platform Python wheels.
Yes, native KIND support. Install Docker, then `uv tool install aicademy`. Tested on Ubuntu 22.04/24.04, Debian 12, Fedora 39, and Arch.
Scenario setup, KIND cluster creation, and the verify checks all run locally. You only need network the first time you `aicademy list` and to mint a CLI token. Everything else runs offline.
Each scenario ships a YAML manifest of verify checks (Pod states, label matches, NetworkPolicy enforcement, etc.). The CLI runs `kubectl` queries against your local KIND cluster and compares the actual state against the manifest. Pass/fail with a score, time taken, and the exact mismatch for any failed check.
No. The questions are original scenarios shaped exactly like the exam task family. The CNCF syllabus is public; Aicademy targets every exam domain at the level of detail CKA/CKAD/CKS expects. No leaked content, no NDA violation.
For Labs subscriptions, the first 7 days are refundable in full no questions asked - just write refund@aicademy.ac. For live workshops, refunds are available if requested at least 48 hours before the first session. If Aicademy cancels a workshop you get a full refund automatically.
The CLI itself is and will stay open source. Labs content comes with your active subscription. Workshop purchases grant permanent access to the recordings on your Aicademy account.
40 free labs across all tracks. Full CLI flow including setup, verify, and the WhatsApp community. No credit card required.
All 400+ scenarios across every track, new scenarios shipped monthly, full attempt history, score tracking, leaderboard access, and priority CLI support.
Monthly subscriptions: 30 days, billed monthly, cancel anytime. Yearly: 365 days, billed yearly. Workshop tickets come with 3 months of Labs Pro included so you keep practicing what you learned.
Total Price
₹6,999