Full-Stack Web Application Development and Software Architecture Security

Course Description

Duration 12 days – 84 hrs

Overview

Full-Stack Web Application Development and Software Architecture Security is a hands-on, end-to-end program where participants build a modern web application from UI to API using React (JavaScript) and Spring Boot (Java). The bootcamp goes beyond coding by embedding software architecture best practices and web application security fundamentals—helping teams design scalable solutions, integrate cleanly across layers, and apply secure-by-design principles. By the end, participants will have a working full-stack project and a practical toolkit for building production-ready web applications.

1) Frontend Bootcamp: React + JavaScript (3 Days)

Course overview

A hands-on bootcamp that equips participants to build modern web user interfaces using JavaScript 2022 and React, covering component-based development, state management, API integration, routing, forms, and basic testing. Participants finish with a working front-end app connected to a backend API (mock or real).

Objectives

By the end of the course, participants can:

Write clean, modern JavaScript 2022
Build reusable React components and manage state effectively
Implement routing, forms, and validation
Integrate with REST APIs (fetch/axios), handle loading/errors
Apply basic front-end performance and code organization practices

Target delegates

Junior to mid-level developers
Web developers transitioning to React
Full-stack aspirants needing strong UI foundations
QA/automation engineers who need React familiarity (optional)

Prerequisites

Basic programming fundamentals (variables, loops, functions)
Familiarity with HTML/CSS basics
Laptop with Node.js installed (or company-provided dev environment)

Course outline (3 days)

Day 1 — Modern JavaScript + React fundamentals

JavaScript 2022 let/const, arrow functions, destructuring, modules
Tooling: npm, Vite/CRA, project structure
React basics: JSX, components, props, rendering lists, keys
Events and conditional rendering
Practice lab: build a UI with reusable components

Day 2 — State, effects, and API integration

useState / useEffect patterns
Working with REST APIs: GET/POST, headers, error handling
Loading states, empty states, notifications
Forms + validation basics
Practice lab: CRUD UI with API integration (or mock server)

Day 3 — Routing, patterns, and production readiness

React Router: routes, nested routes, params
State management approaches (lifting state, context intro)
Component design patterns, folder structure, reusable hooks (intro)
Basic testing overview (React Testing Library concept)
Build mini-capstone: front-end app consuming a backend API

2) Backend Bootcamp: Java + Spring Boot (3 Days)

Course overview

A practical backend bootcamp focused on building RESTful services using Java and Spring Boot, including controllers, service layers, persistence, validation, exception handling, logging, and basic testing. Participants deliver a working API suitable for a web app.

Objectives

By the end of the course, participants can:

Build REST APIs using Spring Boot (controllers, services, repositories)
Apply clean layering and dependency injection
Implement input validation, error responses, and API standards
Integrate a database using JPA/Hibernate and migrations (intro)
Write basic unit/integration tests and document APIs

Target delegates

Java developers new to Spring Boot
Backend developers needing a structured Spring Boot foundation
Full-stack developers who will maintain APIs

Prerequisites

Java fundamentals (OOP, collections, exceptions)
Basic HTTP concepts (methods, status codes)
Familiarity with SQL is helpful but not required

Course outline (3 days)

Day 1 — Spring Boot foundations + REST

Spring Boot project setup, configuration, profiles
Controllers, request mapping, DTOs
Service layer design, DI (Autowired/constructor injection)
REST conventions: status codes, idempotency, pagination (intro)
Lab: build basic endpoints (CRUD skeleton)

Day 2 — Persistence + validation + exception handling

JPA/Hibernate basics: entities, repositories, relationships
Transactions, lazy/eager loading (concepts)
Validation: Bean Validation annotations, custom validators (intro)
Global exception handling (ControllerAdvice), consistent error format

Day 3 — Quality, documentation, and integration readiness

Logging and monitoring basics, structured logs (intro)
Security baseline overview (auth concepts, not deep yet)
Testing: unit tests (service), integration tests (controller)
Mini-capstone: backend API for a sample app used by React frontend

3) Software Architecture Best Practices (3 Days)

Course overview

A best-practices course focused on designing maintainable, scalable web applications. Covers architectural styles (layered, modular monolith, microservices considerations), domain-driven thinking, API design, integration patterns, observability, reliability, and practical decision-making (tradeoffs).

Objectives

By the end of the course, participants can:

Choose an appropriate architecture (and justify tradeoffs)
Design modular boundaries and clean interfaces
Apply key patterns: layered architecture, hexagonal (intro), CQRS (intro)
Improve reliability with resilience patterns and observability
Produce key architecture deliverables (C4 diagrams, ADRs)

Target delegates

Mid-level to senior developers
Tech leads / engineering leads
Solution architects / aspiring architects
Product/engineering managers who want architecture literacy (optional)

Prerequisites

Experience building web apps (frontend or backend)
Basic understanding of REST APIs and databases
Helpful: familiarity with distributed systems concepts (not required)

Course outline (3 days)

Day 1 — Foundations + structure

Architecture goals: maintainability, scalability, security, cost
Architecture styles: layered, modular monolith, microservices (when/when not)
Domain modeling basics and bounded contexts (practical intro)
C4 model diagrams (Context/Container/Component)
Workshop: map a sample system + define boundaries

Day 2 — API, integration, and data

API design best practices: resources, versioning, pagination, error formats
Integration patterns: sync vs async, events, queues (conceptual)
Data ownership, consistency tradeoffs, transactions
Non-functional requirements and architecture checklists
Workshop: design an API + integration plan for a sample product

Day 3 — Operability + governance

Observability: logs, metrics, traces; what to instrument
Resilience patterns: retries, circuit breakers, bulkheads (intro)
Release strategies: feature flags, blue/green (conceptual)
Architecture Decision Records (ADRs), quality gates, review process
Capstone: produce a lightweight architecture pack (C4 + ADRs + NFR plan)

4) Web Application Security (3 Days)

Course overview

A hands-on security course that teaches developers and technical teams how to identify and prevent common web application risks (OWASP-aligned), apply secure coding practices across frontend and backend, and integrate security into SDLC (DevSecOps mindset).

Objectives

By the end of the course, participants can:

Recognize common web threats and real attack paths
Implement secure authentication/session handling patterns (conceptual + practical)
Prevent injection flaws, XSS, CSRF, and insecure access control
Secure APIs (validation, rate limiting concepts, secure headers)
Improve app security posture with secure SDLC practices and testing approaches

Target delegates

Frontend and backend developers
Tech leads and QA engineers
DevOps/SRE involved in deployment and security controls
Security champions / appsec focal points

Prerequisites

Basic web fundamentals (HTTP, browser-client-server)
Some coding experience (JS and/or Java preferred)
Helpful: familiarity with REST APIs and authentication concepts

Course outline (3 days)

Day 1 — Threats, Top 10 OWASP mindset, and baseline controls

Threat modeling basics (assets, actors, attack surfaces)
Top 10 OWASP Risks overview (practical examples)
Secure auth concepts: password handling, MFA, session basics
Secure configuration: secrets handling, environment separation (intro)
Lab: identify vulnerabilities in sample flows + quick fixes checklist

Day 2 — Secure coding for frontend + backend

Input validation & output encoding
XSS prevention, CSP concepts, secure headers
CSRF basics and mitigation
Injection prevention (SQL/NoSQL concepts), ORM pitfalls
Access control design: role vs permission, object-level authorization
Lab: fix vulnerable endpoints + front-end handling patterns

Day 3 — API security + secure SDLC

API security: authn/authz, token basics, rate limiting concepts
Logging for security (audit trails), monitoring suspicious behavior
Dependency risks (SCA concepts), patching discipline
Security testing overview: SAST/DAST concepts + test planning
Capstone: security review of the bootcamp app + remediation plan

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Explain warehouse processes and their impact on inventory accuracy and service performance.
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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.
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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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Full-Stack Web Application Development and Software Architecture Security

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