Infrastructure & Cloud Native Track

The AI
Infrastructure &
Cloud Native
Residency

AI Infrastructure

Master the Cloud Backbone (Kubernetes) + The Future of AI Infra (LLMOps).

A 6-month immersive residency in Jaipur. Move from "Linux Beginner" to "Cloud Native Architect." No textbooks. No multiple-choice quizzes. Just 6 months of building a private cloud, deploying massive AI models, and mastering the infrastructure that runs the modern internet.

Your 6-Month Evolution

Phase 1: The Metal
(Months 1-2)

Role: Linux System Admin & Cloud Associate
Focus: Mastering the Command Line (Bash), Networking (VPCs, Subnets, DNS), and Core AWS Services (EC2, S3, IAM).
The Project: Manually architect a secure, multi-tier web application network on AWS without using any automation.

Phase 2: The Container
(Months 3-4)

Role: DevOps Engineer
Focus: Docker (Containerization), Kubernetes (Orchestration), and Terraform (Infrastructure as Code).s
The Project: The 'One-Click Deploy.' Write a script that spins up a fully functional server cluster from scratch in under 3 minutes.

Phase 3: The Intelligence
(Months 5-6)

Role: LLMOps & AI Architect
Focus: Deploying Open Source LLMs (Llama-3/Mistral) on private GPUs, Vector Databases (Pinecone/Weaviate), and Auto-scaling based on traffic.
The Project: Build and host a private 'ChatGPT' for a specific industry that runs entirely on your own infrastructure.

Why This Track?

Your gateway to the engine room of the internet. From keeping global apps alive to deploying the next generation of AI models, this track puts you in control.

Talk to a Counselor (Free 1:1)

The 'Invisible Power' Career

When ChatGPT goes down, the world panics. The people who fix it aren't 'Prompt Engineers'—they are Cloud Architects. They are the plumbers of the digital age, and they are paid handsomely to keep the lights on.

The $1 Million Mistake

One wrong configuration in the cloud can cost a company millions in minutes. Companies don't hire 'Juniors' for this; they hire people who have proven they can handle production. We give you that proof.

The AI Pivot

AI models are heavy. They eat RAM and GPU power. The industry is desperate for engineers who know LLMOps—how to host, scale, and manage these massive AI models on their own servers (AWS/Azure) without going bankrupt.

40% Annual Growth in Cloud & DevOps Jobs globally. ₹8L - ₹20L Starting Salary Potential for Skilled Cloud/SRE Engineers. 100% Hard Engineering, 0% Fluff.

Designed for the "Builder" Mindset. Built with the Industry.

Who Is This For?

Aestr Alpha is built like a modern Tech Ashram — structured, immersive, and designed for deep transformation.You check in, lock in, and spend six months building real systems with real accountability.

The "Systems Thinker"

You love logic and structure but hate designing UI/UX. You prefer a black terminal screen over Figma.

The CS Engineer

You learned theory in college but have no idea how to actually deploy code to the internet.

The Upgrade Seeker

You work in IT Support or traditional testing and want to break into the high-paying world of Cloud & DevOps.

Box of Proof

We don’t give you a piece of paper. We give you a GitHub profile that proves you are a Senior Engineer in the making.

The "Private Cloud" Repo

A GitHub repository containing the complete Terraform code to spin up a bank-grade cloud infrastructure. Recruiters can view your code to see how you handle security groups, load balancers, and subnets.

The "Chaos Engineering" Report

A video recording where you intentionally "kill" a server in your cluster while users are active, demonstrating that your Kubernetes setup auto-heals and the system stays online. (This is the ultimate trust signal for recruiters).

Graduate Info

2. The "Self-Hosted LLM" Demo

A live link where users can chat with an AI model (like Llama-3) that you deployed. It proves you understand GPU allocation, latency optimization, and API wrapping—skills highly valued by AI startups.

The "FinOps" Audit

A technical case study on "How I optimized cloud costs." You will document how you reduced the server bill of your project by 40% using Spot Instances and auto-scaling policies.

Talk to a Counselor (Free 1:1)

Tools You Will Master

Talk to a Counselor (Free 1:1)
AWS
Linux
Kubernetes (K8s)
Docker
Terraform • Python
Prometheus/Grafana
LangChain (Deployment)
Vector DBs