Test Automation Framework Design with Git and CI/CD

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Test Automation Framework Design with Git and CI/CDO Overview

The Test Automation Framework Design with Git and CI/CD Training Course is an intensive hands-on program designed to equip software testers, QA engineers, SDETs, and developers with the knowledge and practical skills required to design, develop, and maintain scalable automated testing frameworks integrated with modern DevOps practices.

Participants will learn industry best practices for building modular, maintainable, and reusable test automation frameworks using popular automation design patterns while managing source code through Git. The course also demonstrates how automated tests are integrated into Continuous Integration and Continuous Delivery (CI/CD) pipelines using platforms such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.

By the end of the course, participants will be capable of designing enterprise-grade automation frameworks that support continuous testing, faster software delivery, and improved software quality.

 

Duration 5 Days – 35 hrs.

 

Objectives 

  • Understand modern software testing and DevOps workflows
  • Design maintainable and scalable test automation frameworks
  • Apply automation framework design principles and architecture
  • Implement reusable test components and libraries
  • Manage automation projects using Git and Git workflows
  • Collaborate using branching strategies and pull requests
  • Integrate automated testing into CI/CD pipelines
  • Execute automated regression testing during deployments
  • Generate test execution reports and dashboards
  • Apply automation best practices for enterprise software development

 

Target Audience 

  • QA Engineers
  • Automation Test Engineers
  • Software Test Analysts
  • Software Developers
  • SDETs (Software Development Engineers in Test)
  • DevOps Engineers
  • Build and Release Engineers
  • Technical Leads
  • Software Architects
  • Project Teams implementing Continuous Testing

 

Prerequisites 

  • Basic software testing knowledge
  • Basic programming experience (Java, C#, Python, or JavaScript)
  • Familiarity with software development lifecycle (SDLC)
  • Basic understanding of object-oriented programming
  • Basic knowledge of command line operations is recommended
  • No prior CI/CD experience is required

 

Course Outline 

Day 1 – Modern Test Automation Framework Fundamentals 

Module 1: Test Automation Strategy 

  • Manual vs Automated Testing
  • Test Pyramid
  • Continuous Testing
  • Automation ROI
  • Selecting Automation Candidates

 Module 2: Framework Architecture 

  • Automation Framework Types
  • Layered Architecture
  • Framework Components
  • Design Considerations
  • Enterprise Framework Structure

 Module 3: Automation Framework Design Patterns 

  • Page Object Model (POM)
  • Page Factory
  • Screen Object Pattern
  • Fluent Interface
  • Builder Pattern
  • Factory Pattern
  • Singleton Pattern

 Module 4: Framework Folder Organization 

  • Project Structure
  • Test Suites
  • Test Data
  • Utilities
  • Configuration Management
  • Environment Profiles

 

Day 2 – Building Reusable Automation Frameworks 

Module 5: Reusable Components 

  • Base Classes
  • Helper Classes
  • Utility Libraries
  • Common Functions
  • Custom Assertions

 Module 6: Test Data Management 

  • Parameterization
  • Data-Driven Testing
  • Keyword-Driven Testing
  • External Data Sources
  • JSON
  • XML
  • CSV
  • Excel Integration

 Module 7: Configuration Management 

  • Environment Configuration
  • Secrets Management
  • Properties Files
  • YAML Configuration
  • Environment Variables

Hands-on Laboratory

  • Build reusable automation components
  • Create modular framework architecture
  • Configure multiple execution environments

  

Day 3 – Git for Test Automation Teams 

Module 8: Git Fundamentals 

  • Git Architecture
  • Repository Management
  • Local vs Remote Repositories
  • Git Installation
  • Repository Initialization

 Module 9: Daily Git Workflow 

  • Clone
  • Commit
  • Push
  • Pull
  • Fetch
  • Merge
  • Rebase
  • Stash

 Module 10: Branching Strategies 

  • Git Flow
  • Feature Branch Workflow
  • Release Branches
  • Hotfix Branches
  • Pull Requests
  • Code Reviews

 Module 11: Collaboration Best Practices 

  • Conflict Resolution
  • Version Tagging
  • Release Management
  • Repository Organization

Hands-on Laboratory

  • Create repositories
  • Branching exercises
  • Merge conflicts
  • Pull requests
  • Team collaboration simulation

 

Day 4 – CI/CD for Test Automation 

Module 12: CI/CD Fundamentals 

  • DevOps Overview
  • Continuous Integration
  • Continuous Delivery
  • Continuous Deployment
  • Continuous Testing

 Module 13: Build Automation 

  • Build Pipelines
  • Artifact Management
  • Dependency Management
  • Build Triggers

 Module 14: CI/CD Platforms 

Overview of:

  • Jenkins
  • GitHub Actions
  • Azure DevOps Pipelines
  • GitLab CI/CD

 Module 15: Integrating Automated Tests 

  • Pipeline Design
  • Test Stages
  • Smoke Tests
  • Regression Tests
  • Parallel Execution
  • Scheduled Execution

Hands-on Laboratory

  • Create CI/CD pipeline
  • Execute automated tests
  • Generate reports
  • Pipeline troubleshooting

 

Day 5 – Enterprise Continuous Testing Implementation 

Module 16: Reporting and Dashboards 

  • Test Reports
  • Allure Reports
  • HTML Reports
  • JUnit Reports
  • Dashboard Integration

Module 17: Test Execution Optimization 

  • Parallel Testing
  • Distributed Testing
  • Cross-browser Execution
  • Retry Mechanisms
  • Failure Analysis

 Module 18: Automation Framework Maintenance 

  • Refactoring
  • Framework Evolution
  • Managing Technical Debt
  • Framework Documentation
  • Best Practices

 Module 19: Enterprise Automation Governance 

  • Coding Standards
  • Naming Conventions
  • Repository Standards
  • Automation Metrics
  • KPI Monitoring

 Capstone Workshop 

Participants will design and implement a complete automation framework that includes:

  • Modular automation architecture
  • Page Object Model implementation
  • Reusable utilities and components
  • Git repository setup and branching workflow
  • CI/CD pipeline integration
  • Automated regression execution
  • Test reporting and dashboards

 

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Warehouse Operations and Inventory Management Training Course     Duration 2 Days – 14 hrs.   Overview   This course provides a practical understanding of warehouse operations and inventory management for personnel who supervise, review, or audit warehouse processes. It covers the movement of goods from receiving through dispatch, with emphasis on warehouse layout, storage systems, picking strategies, stock rotation, inventory accuracy, and operational controls.   Participants will learn to identify process weaknesses, investigate stock discrepancies, reduce shrinkage, and interpret warehouse productivity indicators. The course connects day-to-day warehouse activities with the records, controls, and performance measures needed for effective supervision and auditing.   Objectives  

  • 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.
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  • Interpret warehouse productivity and inventory performance KPIs.
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        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.
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  • 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.
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  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
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  • 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.
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  Module 8: Shrinkage Reduction and Inventory Protection  
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  • Preventive and detective controls for shrinkage reduction.
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  • 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.
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  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
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  • 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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