Infrastructure as Code and CI/CD for Operations

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Infrastructure as Code and CI/CD for Operations enables IT teams to automate infrastructure provisioning, streamline deployments, and improve operational efficiency through modern DevOps practices.

Duration 5 Days – 35 hrs.

 

Overview

The Infrastructure as Code (IaC) and CI/CD for Operations Training Course is a comprehensive hands-on program designed for IT operations, DevOps, cloud, and infrastructure professionals who want to automate infrastructure provisioning, configuration management, and deployment processes using modern Infrastructure as Code (IaC) and Continuous Integration/Continuous Delivery (CI/CD) practices. The course equips participants with the knowledge and practical skills to build repeatable, scalable, and reliable infrastructure while reducing manual effort and operational risk.

Participants will learn the principles of infrastructure automation, version control, configuration management, provisioning, CI/CD pipelines, automated testing, deployment strategies, and infrastructure governance. Practical laboratory exercises demonstrate how Infrastructure as Code integrates with modern DevOps workflows using widely adopted tools such as Git, Terraform, Ansible, Jenkins, GitHub Actions, and cloud platforms. The course also covers security, compliance, and operational best practices for enterprise environments.

 

Objectives

  • Understand the principles and benefits of Infrastructure as Code (IaC).
  • Implement infrastructure automation using declarative and imperative approaches.
  • Use Git for infrastructure version control and collaboration.
  • Provision and manage infrastructure using Terraform.
  • Automate server configuration using Ansible.
  • Build CI/CD pipelines for infrastructure deployment.
  • Apply automated validation, testing, and deployment practices.
  • Implement secure infrastructure provisioning and policy enforcement.
  • Manage infrastructure lifecycle using GitOps principles.
  • Apply enterprise best practices for scalable and maintainable infrastructure automation.

 

Target Audience

 DevOps Engineers

  • Cloud Engineers
  • Infrastructure Engineers
  • Linux System Administrators
  • Windows Server Administrators
  • Site Reliability Engineers (SREs)
  • Platform Engineers
  • Network Automation Engineers
  • IT Operations Engineers
  • Cloud Architects
  • Technical Leads

 

Prerequisites

 Basic understanding of operating systems (Linux or Windows)

  • Basic networking knowledge
  • Familiarity with cloud computing concepts
  • Basic command-line experience
  • Basic understanding of scripting concepts is recommended but not required

 

Course Outline

 

Day 1 – Infrastructure as Code Fundamentals

 

Module 1: Introduction to Infrastructure as Code

  • Infrastructure automation concepts
  • Traditional vs Infrastructure as Code
  • Benefits of IaC
  • Declarative vs imperative approaches
  • Immutable infrastructure
  • Enterprise automation strategies

 

 Module 2: Version Control with Git

  • Git fundamentals
  • Repository management
  • Branching strategies
  • Collaboration workflows
  • Infrastructure repositories
  • Change tracking

 

Module 3: IaC Architecture

  • State management
  • Modular design
  • Reusable components
  • Variables and outputs
  • Secrets management
  • Infrastructure lifecycle

 

Module 4: Terraform Fundamentals

  • Terraform architecture
  • Providers
  • Resources
  • Variables
  • State files
  • Execution workflow

Hands-on Lab

  • Configure Git repositories
  • Install Terraform
  • Create basic infrastructure
  • Manage Terraform state
  • Deploy sample resources

 

Day 2 – Provisioning and Configuration Management

 

Module 1: Advanced Terraform

  • Modules
  • Workspaces
  • Remote state
  • Dependency management
  • Provisioners
  • Best practices

 

Module 2: Configuration Management with Ansible

  • Ansible architecture
  • Inventory management
  • Playbooks
  • Roles
  • Variables
  • Templates

 

Module 3: Infrastructure Provisioning

  • Virtual machines
  • Cloud resources
  • Storage
  • Networking
  • Security groups
  • Resource tagging

 

Module 4: Infrastructure Validation

  • Syntax validation
  • Plan verification
  • Automated testing
  • Drift detection
  • Infrastructure documentation

Hands-on Lab

  • Develop Terraform modules
  • Build Ansible playbooks
  • Configure virtual servers
  • Validate infrastructure deployments

 

Day 3 – CI/CD for Infrastructure Operations

 

Module 1: CI/CD Fundamentals

  • Continuous Integration
  • Continuous Delivery
  • Continuous Deployment
  • Pipeline architecture
  • Automation workflows

 

Module 2: CI/CD Platforms

  • Jenkins overview
  • GitHub Actions overview
  • GitLab CI overview
  • Azure DevOps Pipelines overview
  • Pipeline orchestration

 

Module 3: Infrastructure Pipelines

  • Pipeline stages
  • Automated builds
  • Infrastructure testing
  • Security scanning
  • Deployment approvals

 

Module 4: Deployment Strategies

  • Blue-Green deployment
  • Rolling deployment
  • Canary deployment
  • Rollback strategies
  • Release management

Hands-on Lab

  • Create CI/CD pipelines
  • Automate Terraform deployments
  • Integrate Git repositories
  • Configure deployment workflows

 

Day 4 – Security, Compliance, and GitOps

 

Module 1: Infrastructure Security

  • Secure coding practices
  • Secrets management
  • Identity and access management
  • Secure pipelines
  • Compliance automation

 

Module 2: Policy as Code

  • Infrastructure governance
  • Policy enforcement
  • Compliance validation
  • Configuration standards
  • Audit readiness

 

Module 3: GitOps Principles

  • Git as the source of truth
  • Declarative deployments
  • Automated reconciliation
  • Operational workflows
  • Change management

 

Module 4: Monitoring and Logging

  • Infrastructure monitoring
  • Deployment logging
  • Audit trails
  • Operational dashboards
  • Performance monitoring

 

Hands-on Lab

  • Secure CI/CD pipelines
  • Implement policy validation
  • Configure GitOps workflows
  • Review audit logs

 

Day 5 – Enterprise Automation and Capstone Project

 

Module 1: Enterprise IaC Architecture

  • Multi-environment deployments
  • Infrastructure scalability
  • High availability
  • Disaster recovery automation
  • Environment promotion

 

Module 2: Operational Best Practices

  • Code review
  • Versioning
  • Documentation
  • Collaboration
  • Operational governance

 

Module 3: Troubleshooting IaC and CI/CD

  • Terraform troubleshooting
  • Ansible debugging
  • Pipeline failures
  • Deployment issues
  • Infrastructure recovery

 

Module 4: Capstone Automation Project

  • Design an Infrastructure as Code solution
  • Provision infrastructure
  • Configure systems with Ansible
  • Build an end-to-end CI/CD pipeline
  • Validate security and compliance
  • Present automation architecture and operational workflow

Hands-on Lab

  • Deploy a complete automated infrastructure
  • Implement CI/CD for infrastructure changes
  • Perform validation and rollback
  • Troubleshoot deployment failures
  • Final practical assessment

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  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
  • Apply First-In, First-Out (FIFO) and First-Expired, First-Out (FEFO) principles.
  • Compare picking strategies based on order characteristics and operational requirements.
  • Identify causes of inventory discrepancies and recommend corrective actions.
  • Develop a cycle counting approach based on inventory value, movement, and risk.
  • Recognize sources of shrinkage and recommend preventive and detective controls.
  • Interpret warehouse productivity and inventory performance KPIs.
  • Review warehouse processes using supporting records, observations, and control evidence.
        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
  • Interpreting trends while balancing speed, accuracy, and service.
      Module 10: Supervising and Auditing Warehouse Processes  
  • Process mapping and identification of critical control points.
  • Reviewing procedures against actual warehouse practices.
  • Tracing transactions from documents to systems and physical stock.
  • Reviewing approvals, access rights, and segregation of duties.
  • Identifying control gaps and recurring process exceptions.
  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
  • Standardizing transaction recording and exception handling.
  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
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  • Propose controls to reduce shrinkage and improve traceability.
  • Select relevant KPIs and define their calculation and reporting requirements.
  • Produce a prioritized improvement plan with responsibilities and expected outcomes.
 

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