Automation Bootcamp Training for Developers

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Duration: 8-12 Weeks Approximately
Level: Basic to Advanced
Mode: Online (can be tailored for in-person)
Target Audience: Software Developers, IT Professionals, QA Engineers, DevOps Engineers
Prerequisites: Basic programming knowledge in Python, Java, or similar language.

  1. Basic Level: Introduction to Automation

Duration: 2-3 Weeks Approximately
Objective: Introduce developers to the core concepts of automation, including task automation and scripting basics.

Modules:

  1. Introduction to Automation
    • What is Automation?
    • Benefits and Use Cases in Development
    • Tools and Technologies Overview (RPA, DevOps, Automation Testing)
  2. Programming for Automation
    • Introduction to Python (or Java) for Automation
    • Variables, Loops, Functions, and Conditionals
    • File handling, reading/writing files, automation tasks
  3. Automating Simple Tasks
    • Automating system operations (Windows, Linux)
    • Automating file organization, backups, and updates
    • Email automation using Python libraries (e.g., smtplib, email)
  4. Scripting for Automation
    • Writing basic automation scripts to perform repetitive tasks
    • Scheduling scripts using Cron (Linux) or Task Scheduler (Windows)
  5. Introduction to Web Scraping
    • Scraping data using Python (BeautifulSoup, Scrapy)
    • Handling HTTP requests and parsing HTML

 

End of Basic Level Project:

  • Project 1: Automate the process of downloading and organizing files from a specific URL.
  1. Intermediate Level: Robotic Process Automation (RPA) and Automation Testing

Duration: 3-4 Weeks Approximately
Objective: Expand into Robotic Process Automation (RPA) and automation testing, focusing on creating bots and automating repetitive workflows.

Modules:

  1. Introduction to RPA
    • Overview of Robotic Process Automation
    • Key RPA Tools: UiPath, Blue Prism, Automation Anywhere
    • RPA Use Cases and Benefits in Business Automation
  2. Hands-on with UiPath (or another RPA tool)
    • Building your first RPA bot
    • Automation workflows for data entry, processing invoices, email automation
    • Creating bots that interact with desktop and web applications
  3. Automation Testing Fundamentals
    • Introduction to Test Automation and its Benefits
    • Test Automation Frameworks: Selenium, Appium, TestNG
    • Writing automated test scripts for web and mobile apps
  4. Advanced Web Scraping & APIs
    • Automating API interactions (REST, SOAP) with Python
    • Automating data extraction and reporting via APIs
  5. CI/CD Pipelines and Automation with Jenkins
    • Introduction to Continuous Integration/Continuous Deployment (CI/CD)
    • Integrating automated testing into the CI/CD pipeline
    • Automating builds and deployment with Jenkins

 

End of Intermediate Level Project:

  • Project 2: Build a bot that automates the extraction of data from a website and stores it in a structured format (CSV/Excel).
  1. 3. Advanced Level: Advanced Automation Techniques & DevOps Automation

Duration: 3-4 Weeks Approximately
Objective: Delve into advanced automation techniques, DevOps automation, and best practices for automating complex workflows.

Modules:

  1. Advanced RPA Development
    • Advanced UI Automation (OCR, AI integration)
    • Handling exceptions and error handling in bots
    • Integrating RPA with other systems (e.g., databases, CRMs)
  2. Containerization and Automation with Docker and Kubernetes
    • Introduction to Docker: Creating and managing containers
    • Automating application deployment with Docker
    • Using Kubernetes for orchestration and automating app scaling
  3. Infrastructure as Code (IaC)
    • Introduction to Infrastructure Automation
    • Tools for IaC: Terraform, Ansible, Chef, Puppet
    • Automating cloud infrastructure setup (AWS, Azure)
  4. Advanced CI/CD and DevOps Automation
    • Integrating advanced test automation into CI/CD pipelines
    • Automating rollback and failure recovery in deployment pipelines
    • Monitoring and automated alerts in production environments
  5. Machine Learning & AI in Automation
    • Integrating machine learning models in automation workflows
    • Automating data analysis using AI and machine learning algorithms
    • Implementing predictive maintenance through automation

End of Advanced Level Project:

  • Project 3: Build a full-fledged automation system that integrates RPA with a DevOps pipeline, automates web scraping, and triggers an alert system based on the results.

Capstone Project:

  • Final Project: The final project will integrate multiple automation tools learned throughout the course. Participants will create an end-to-end automation solution that integrates RPA, web scraping, API interactions, CI/CD pipelines, and deployment.

Key Tools & Technologies Covered:

  • Programming Languages: Python, Java (or preferred language for automation)
  • RPA Tools: UiPath, Blue Prism, Automation Anywhere
  • Automation Testing Tools: Selenium, Appium, TestNG
  • DevOps Tools: Jenkins, Docker, Kubernetes, Terraform, Ansible
  • APIs: REST, SOAP, Webhooks
  • Cloud Automation: AWS, Azure
  • Other Tools: Git, Postman, GitHub Actions

Assessment & Certification:

  • Quizzes: After each module to assess understanding
  • Hands-on Projects: Practical projects at the end of each level
  • Capstone Project: Final project to showcase learned automation skills
  • Certification: Upon completion, participants will receive a certificate in Automation Development from the Bootcamp.

This bootcamp will take developers through the entire automation process—from basic scripting and RPA to advanced DevOps automation—preparing them to implement automation solutions in real-world applications.

 

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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.
  • 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  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
  • Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
  • Recommend appropriate FIFO or FEFO controls.
  • Develop a cycle counting and inventory reconciliation plan.
  • 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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