MCP + AI Platform on Kubernetes (EKS)
Build a Production-Grade AI Control Plane on Kubernetes — Not Just Tutorials. Real Systems. Real Companies.
Deploy a Model Control Plane (MCP) — the brain of modern AI platforms — on AWS EKS with real enterprise architecture. Most courses teach tools. This project teaches you how to build real systems used in production: centralized model management, automated CI/CD pipelines, observability, and enterprise-grade security — the same infrastructure that powers AI platforms at scale.
One-Time Fee
2 Days (Live, Hands-on)
What's Included?
Why This Project is Different 🚀
Most engineers learn Docker, learn Kubernetes, and maybe deploy one app. But in real companies, you manage 100+ services and ML models, you need control planes, versioning, scaling, and monitoring, and you need automation and governance. This is NOT a basic DevOps project and NOT a demo-level ML pipeline. This project teaches you exactly how AI systems are managed at scale — the rare skill that companies are actively hiring for.
What You'll Build 🏗️
A Model Control Plane (MCP) — the brain of modern AI platforms. Think of it like: Kubernetes manages containers, MCP manages AI models and services. You will design and deploy a centralized platform to manage ML models on a Kubernetes-based orchestration layer with scalable microservices architecture.
Amazon EKS Cluster
Production-ready setup with VPC, Subnets, IAM roles, Security Groups
Cluster Autoscaler + HPA
Auto Scaling for dynamic workload management
Model Serving APIs
Containerized microservices (Docker) with version-controlled ML models
Model Control Plane (MCP)
Centralized model registration, versioning & lifecycle management
Deployment Pipelines
Staging → Production with metadata tracking
Terraform IaC
Full infrastructure automation for all AWS resources
CI/CD Pipelines
GitHub Actions / Jenkins with GitOps workflows
NGINX Ingress / AWS ALB
Secure API exposure and path-based routing
Prometheus + Grafana
Metrics collection and real-time dashboards
CloudWatch
Centralized logs and AWS-native observability
IAM Roles for Service Accounts (IRSA)
Enterprise-grade identity and access management
Kubernetes RBAC + Network Policies
Workload isolation and access control
Architecture Overview 🗺️
Visual walkthrough of the production microservices platform you'll build
MCP + AI Platform on Kubernetes (EKS) Architecture
What You'll Learn in This Session 📘
Webinar Modules 📚
Practical modules covered throughout the webinar sessions
Module 1
Day 1: Provision production-ready AWS EKS cluster using Terraform (VPC, Subnets, IAM, Security Groups)
Module 2
Day 1: Deploy containerized microservices and model serving APIs on Kubernetes
Module 3
Day 1: Build the Model Control Plane — registration, versioning, and lifecycle management
Module 4
Day 1: Configure IRSA, Kubernetes RBAC, and AWS Secrets Manager for enterprise security
Module 5
Day 2: Build CI/CD pipelines with GitHub Actions / Jenkins and implement GitOps workflows
Module 6
Day 2: Configure NGINX Ingress / AWS ALB for secure public API exposure
Module 7
Day 2: Set up Prometheus metrics, Grafana dashboards, and CloudWatch logging
Module 8
Day 2: Implement Cluster Autoscaler and Horizontal Pod Autoscaler for dynamic scaling
Outcomes 🎯
Who This Session Is For 👥
No prior DevOps experience required.
What You'll Get 🎁
Schedule & Logistics
Ready to Join This Webinar?
2 Days (Live, Hands-on). Live, hands-on learning. Production-ready workflows.Build a Production-Grade AI Control Plane on Kubernetes — Not Just Tutorials. Real Systems. Real Companies.
One-Time Fee
₹2,499
2 Days (Live, Hands-on)
Visit our Hyderabad office
Flat No.403, Nandini Residency, 15/A Addagutta Society - HMT Hills Rd, near JNTU, Addagutta Society, Jal Vayu Vihar, Kukatpally, Hyderabad, Telangana 500085
