Empowering Teams through
Cloud, Container,
and AI Infrastructure Training

Corporate Trainer | Cloud Infrastructure Consultant
Authorized by AWS, Azure, and GCP. I help organizations master the cloud through high-impact, hands-on training and infrastructure solutions.

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6+ Years Experience

3 Cloud Platforms

1000+ Professionals Trained

AWS

Containers

GCP

Azure

Shubham Dalvi

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WHO I AM

From Linux Administration to
Global Cloud Infrastructure.

With a foundation in Linux Administration and years spent architecting Private and Public Cloud solutions, I now empower corporations to scale. I specialize in moving workloads to the cloud and training engineering teams to manage them with confidence. Authorized by the “Big Three” (AWS, Azure, GCP) to deliver excellence.

Learn More About Me

Linux System Administration

Building the engineering foundation of enterprise infrastructure.

Hybrid Cloud Architecture

Scaling and managing workloads across Private and Public Clouds.

Corporate Consulting & Training

Guiding teams to excel on AWS, Azure, and GCP.

CORE EXPERTISE

What I Deliver

Curriculum-backed, hands-on training that transforms how engineering teams think about infrastructure.

Cloud Platforms

Deep-dive training across AWS, GCP, and Azure — from core concepts to production-grade architecture.

AWS GCP Azure IAM VPC Serverless

Containerization

Hands-on Docker and Kubernetes workshops covering orchestration, networking, security, and CI/CD pipelines.

Docker Kubernetes Helm CI/CD Namespaces

Curriculum Design

Custom lab guides, step-by-step instructions, and corporate evaluations tailored to team maturity and goals.

Lab Guides Assessments Workshops Custom LMS

Coming Soon

AI Infrastructure

Upcoming training modules in MLOps, Agentic AI, and AI workloads on Kubernetes — the next frontier.

MLOps Agentic AI LLM Infra AI on K8s

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FUTURE FOCUS

The Next Frontier:
AI Infrastructure Training

The intersection of container orchestration and AI workloads is where the industry is heading. I'm actively researching and building training modules that marry Kubernetes & Docker with cutting-edge AI infrastructure — preparing teams before demand peaks.

MLOps pipelines on Kubernetes
Deploying LLMs at scale with Docker
Agentic AI system architecture
GPU node management & scheduling
AI workload security & observability

Get Early Access

kubectl apply

$ kubectl apply -f ai-workload.yaml

namespace/mlops created

deployment.apps/llm-inference created

service/inference-svc created

$ kubectl get pods -n mlops

NAME READY STATUS

llm-inference-xxx 1/1 Running

agent-runner-xxx 1/1 Running

$ █

Empowering Teams through Cloud, Container, and AI Infrastructure Training

From Linux Administration toGlobal Cloud Infrastructure.