Introduction to GCP Architecture

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Duration 5 days – 35 hrs

 

Overview

The Introduction to Google Cloud Platform (GCP) Architecture Training Course is designed to provide participants with a solid foundation in the principles and practices of architecting solutions on GCP. This course covers the core services, tools, and best practices needed to design, build, and manage scalable and secure applications on the Google Cloud Platform. Through a mix of theoretical instruction and hands-on labs, participants will gain practical experience and insights into using GCP effectively.

 

Objectives

• Understand GCP Fundamentals: Learn the basic concepts and components of Google Cloud Platform, including its global infrastructure and core services.
• Explore Core GCP Services: Gain knowledge of essential GCP services such as Compute Engine, Cloud Storage, BigQuery, and Cloud Networking.
• Design Scalable Architectures: Learn best practices for designing scalable, high-performance, and resilient architectures on GCP.
• Implement Security Best Practices: Understand how to secure GCP resources using Identity and Access Management (IAM), encryption, and network security.
• Cost Management and Optimization: Learn strategies for managing and optimizing costs on GCP.
• Hands-On Experience: Participate in labs and exercises to apply the concepts learned and gain practical experience with GCP services.

 

Audience

• Aspiring GCP Solutions Architects: Individuals aiming to start a career as a Google Cloud Platform Solutions Architect.
• IT Professionals and Engineers: Those working in IT who want to gain foundational knowledge of GCP and cloud architecture.
• System Administrators: IT administrators looking to transition from on-premises infrastructure to cloud-based solutions.
• Developers: Software developers seeking to understand how to deploy and manage applications on the GCP platform.
• Network Engineers: Professionals focused on networking who want to learn about GCP’s networking services and capabilities.
• Database Administrators: DBAs interested in managing and optimizing databases in the cloud.
• Project Managers: Managers overseeing cloud projects who need to understand GCP services and architecture.
• IT Consultants: Consultants advising clients on cloud adoption and architecture who need to understand GCP fundamentals.
• Recent Graduates: Individuals who have recently completed a degree in IT, computer science, or related fields and want to gain practical cloud skills.
• Tech Enthusiasts: Anyone with a general interest in learning about Google Cloud Platform and its applications in modern IT environments.

 

Prerequisites

• Basic IT Knowledge: Understanding of fundamental IT concepts and terminology.
• Familiarity with Cloud Computing: General awareness of cloud computing principles and benefits.
• Basic Networking Knowledge: Basic understanding of networking concepts and protocols.
• No Prior GCP Experience Required: The course is designed for beginners with no previous GCP experience.

 

Course Content

Basic Course: Introduction to GCP Architecture

Section 1: Introduction to Cloud Architecture

• Understanding Cloud Computing: Basic concepts and benefits of cloud computing on GCP.
• Introduction to GCP: Overview of GCP services related to computing, storage, networking, and security.

 

Section 2: Core GCP Services

• Compute Engine Basics: Introduction to VMs and basic configurations.
• Cloud Storage Fundamentals: Understanding object, file, and block storage options.
• Basic Networking: Setting up VPCs, and subnets, and understanding GCP’s global network.

 

Section 3: Basic Security and Compliance

• Fundamental Security Practices: Basic identity and access management (IAM), roles, and permissions.
• Compliance Overview: Understanding the importance of compliance in the cloud.

 

Section 4: Managing GCP Environments

• Using GCP Console and Cloud SDK: Basic navigation and simple commands.
• Introduction to Billing and Cost Management: Understanding costs, budgets, and alerts.

 

Section 5: Hands-On Labs and Simple Case Studies

• Deploying a Simple Web Application: Using App Engine or Compute Engine.
• Basic Data Movement: Importing data into Cloud Storage.

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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  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
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  • 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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