Training That Transforms Teams

Hands-on, lab-driven programs designed to build real-world cloud and container proficiency.

AWS Google Cloud Microsoft Azure

Cloud Platforms

Comprehensive training across the three major hyperscalers — AWS, GCP, and Microsoft Azure. From foundational concepts to advanced architectural patterns, sessions are designed to build genuine expertise, not just certification familiarity.

  • IAM, VPC, Networking fundamentals
  • Compute, Storage & Database services
  • Serverless architectures (Lambda, Cloud Functions)
  • Cost optimization strategies
  • Multi-cloud governance and compliance
  • Hands-on lab environments for every module

Containerization & Orchestration

Docker and Kubernetes are the backbone of modern DevOps. This pillar takes teams from basic containerization concepts to production-scale orchestration, including security hardening, observability, and GitOps workflows.

  • Docker fundamentals & best practices
  • Kubernetes architecture deep-dive
  • Helm charts & package management
  • CI/CD integration (GitHub Actions, Jenkins)
  • Container security & image scanning
  • Service mesh (Istio, Linkerd) intro
Docker Kubernetes Helm Istio
Lab Guides Assessments LMS-Ready Custom Pace

Curriculum Design

Great training starts with great curriculum. I design tailored lab guides, step-by-step instructional materials, and corporate evaluation frameworks that match your team's maturity and organizational objectives.

  • Custom lab guide development
  • Hands-on, step-by-step instruction design
  • Corporate competency assessments
  • LMS-ready content packaging
  • Trainer-of-trainers (ToT) programs
  • Post-training evaluation & skill benchmarking

AI Infrastructure & MLOps Coming Soon

The convergence of container orchestration and AI workloads is reshaping infrastructure. I'm researching and building the next generation of training modules that empower teams to run LLMs, manage ML pipelines, and build agentic AI systems on Kubernetes.

  • MLOps pipelines on Kubernetes
  • Deploying & serving LLMs with Docker/K8s
  • Agentic AI system design & orchestration
  • GPU resource scheduling in Kubernetes
  • AI workload observability & cost control
  • Responsible AI governance in enterprise settings
Register Interest
MLOps LLMOps Agentic AI GPU K8s

The Training Process

01

Discovery Call

We discuss your team's current skill level, goals, timeline, and infrastructure context.

02

Curriculum Design

I build or adapt a custom training plan with lab environments for your specific stack.

03

Training Delivery

Interactive, hands-on sessions delivered live (remote or on-site) with real lab work.

04

Assessment & Report

Post-training evaluations and a detailed competency report for your organization.

Let's build something together.

Start with a free discovery call — no commitment required.

Book a Training Session