Multi Cloud DevOps FDE
Two hands-on career tracks, one trainer: Multi Cloud DevOps — AWS, Azure, GCP, the full DevOps toolchain and 30 real-world projects — and the new Forward Deployed Engineer track covering Python, Generative AI, RAG, Agentic AI, AWS and production delivery. Crafted and delivered by veera sir | NareshIT.
// meet your trainer
About veera
The mind, experience and passion behind this curriculum.
V
veera sir
veera sir is a highly accomplished Senior DevOps & Multi-Cloud Trainer at NareshIT with over 14+ years of real-world industry experience across AWS, Azure and GCP. He has personally trained more than 20,000+ students, guiding them from beginner level to roles at top MNCs and product companies worldwide.
His teaching is rooted in the industry — every concept backed by real production experience. He has architected large-scale cloud infrastructures, led DevOps transformations for enterprises, and built CI/CD pipelines powering mission-critical applications. Complex topics like Kubernetes, Terraform and multi-cloud become second nature under his guidance.
Alongside the flagship multi-cloud programme, he now delivers the Forward Deployed Engineer track — a career path built for the AI era, where students learn to build production Python services, ship Generative AI and Agentic AI systems, and deploy and operate them inside a customer's own cloud environment.
// two training tracks
Choose Your Track
Two complete career paths under one trainer. Go deep on multi-cloud DevOps, or become a Forward Deployed Engineer who ships AI products into customer environments.
The original programme — AWS, Azure and GCP end to end, the full DevOps toolchain, and 30 production-grade projects across all three clouds.
- AWS, Azure and GCP core services with real deployments
- Docker, Kubernetes, Jenkins, Terraform, Ansible, ArgoCD
- Monitoring, IAM and cost optimisation on every cloud
- 30 multi-cloud projects for your portfolio
The newest addition — the AI-era engineer who builds, deploys and operates AI systems directly inside the customer's environment.
- Production Python, FastAPI, PostgreSQL, MongoDB, Redis
- Generative AI, prompt engineering, RAG and vector databases
- Agentic AI with MCP, memory, planning and guardrails
- Linux, AWS, cloud security, system design and GitOps delivery
// curriculum overview
Choose Your Module
Click any card to open that module's complete syllabus — curated by veera sir. The first four belong to the Multi-Cloud DevOps track; the FDE card opens the Forward Deployed Engineer syllabus.
EC2, S3, VPC, RDS, Lambda, EKS, IAM, CloudFront, Route53 and 20+ more AWS services with real deployments.
Azure VMs, VNET, AKS, Azure DevOps, Blob Storage, Monitor and end-to-end CI/CD integration.
Compute Engine, GKE, Cloud Storage, VPC networking, Cloud Run and GCP-native DevOps with GitLab CI/CD.
Git, Docker, Kubernetes, Jenkins, Terraform, Ansible, Prometheus, Grafana, ArgoCD, Helm — full toolchain.
Career track for the AI era: Python, FastAPI, Generative AI, RAG, Agentic AI & MCP, AWS, security, system design and production DevOps.
30 production-grade capstone projects across AWS, Azure & GCP — EKS, serverless, GitOps and more.
// skills you'll gain
What You'll Walk Away With
Practical, in-demand skills top companies hire for — across both the DevOps and Forward Deployed Engineer tracks.
Cloud Architecture
Scalable, HA designs across AWS, Azure and GCP.
CI/CD Pipelines
Jenkins, GitLab CI, GitHub Actions, ArgoCD.
Containers & K8s
Docker + Kubernetes on EKS, AKS, GKE.
Infrastructure as Code
Terraform, Ansible, OpenTofu multi-cloud.
Observability
Monitoring, log aggregation, alerting, incident response.
Security & IAM
IAM, SSO, VPC controls, encryption, compliance.
Python & APIs
FastAPI services over PostgreSQL, MongoDB and Redis.
Gen AI & Agentic AI
RAG, LangChain, LangGraph, autonomous agents for infra & pipelines.
Agents & MCP
Tool calling, memory, planning, human-in-the-loop guardrails.
System Design
Scalability, messaging, reliability patterns and trade-offs.
Multi-Cloud Strategy
Manage workloads across providers consistently.
Customer Delivery
Handover, runbooks, SLAs and on-site production support.