🛠️DevOps & Cloud

Terraform & Infrastructure as Code Training

HCL syntax, module development, remote state management, Terraform Cloud, multi-provider deployment, and IaC security.

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4.9 (Live Project Training)

Why This Program Stands Out

  • ✓Instructor-Led Live Training with Real-Time Production Labs
  • ✓Hands-on practice across Linux, Docker, Kubernetes, CI/CD, AWS & Terraform
  • ✓Job-Ready Portfolio Building & Resume Optimization
  • ✓End-to-end support from Learning -> Live Projects -> Interviews -> Job Placement
Real-World Projects Included⚙️
🛠️

Terraform & Infrastructure as Code Training

Hands-on Practice & Production Workflows

Duration
6 - 8 Weeks
Format
Live Online Labs

Our Secret Sauce for Exam and Career Success

💻

Training Mode & Deliverables

Live, 1-to-1, or corporate · Recordings & live labs

📖

Comprehensive Masterclass

Exam-ready + job-ready in one program

⏱️

Flexible Learning Options

Your pace · 24/7 access · Mentor support

🎯

Lifetime Support

Resources, resume & interview prep, placement assistance

Learn DevOps Through Hands-On Practice

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI. Rather than learning isolated command syntax from pre-recorded videos, you build end-to-end continuous integration and continuous delivery (CI/CD) pipelines, orchestrate microservices, and manage resilient cloud infrastructure hands-on.

✓

What You'll Learn

✓Write modular HCL code to provision compute, networking, and storage resources.
✓Manage remote state locks securely using S3/DynamoDB and Terraform Cloud.
✓Implement Terraform workspaces for multi-environment deployments (Dev, Staging, Prod).
✓Integrate automated linting (tflint), static security checks (tfsec/checkov), and CI/CD pipelines.
✓Perform safe infrastructure updates, drift detection, and state migration.

DevOps Tools & Technologies

🛠️ Terraform🛠️ HashiCorp HCL🛠️ AWS🛠️ Azure🛠️ GCP🛠️ GitHub Actions🛠️ tfsec🛠️ Checkov

Course Curriculum

Module 1: Infrastructure as Code & HashiCorp HCL Basics

Declarative paradigm, provider configuration, resource declarations, and variables.

Module 2: State Management & Remote Backends

State files, remote storage locking, state inspection, and state import for existing resources.

Module 3: Building Reusable Terraform Modules

Input variables, output values, module source registry, and version constraints.

Module 4: Dynamic Logic, Functions & Loops

count, for_each, dynamic blocks, conditional expressions, and built-in functions.

Module 5: Multi-Cloud Infrastructure Provisioning

Simultaneous deployment across AWS (VPC/EC2) and Azure (VNets/VMs).

Module 6: DevSecOps & CI/CD Pipeline Integration

Automating terraform plan/apply inside GitHub Actions and security scanning.

Module 7: Capstone Enterprise Infrastructure Codification Project

Codifying an enterprise multi-tier architecture with full module structure.

Who Should Take This Training?

👥Cloud Infrastructure Engineers
👥DevOps Engineers
👥Site Reliability Engineers (SRE)
👥System Administrators

📋 Prerequisites

  • ✓Basic understanding of cloud services (EC2, VPC, S3)
  • ✓Basic command line experience
  • ✓Knowledge of cloud architecture fundamentals

🎓 Training Format

Instructor-Led Live Online Sessions | 4 Weeks | Practical Labs

🏆 Certification Alignment: HashiCorp Certified Terraform Associate Exam Alignment & NexGenium Certificate

Projects & Practical Labs

Capstone Lab 1

Multi-Region VPC & EKS Cluster Infrastructure Module

Build a production-ready AWS network and EKS cluster completely defined in reusable Terraform modules.

Live Lab Execution
Capstone Lab 2

Automated Terraform CI/CD Pipeline with Pull Request Plan Output

Create a GitHub Actions pipeline that runs terraform plan on PRs and applies on main branch merge.

Live Lab Execution

Frequently Asked Questions

Enroll in DevOps Training

Start Your DevOps Learning Journey

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI.