Mentor Based

Software Architecture Design

Designing Scalable, Resilient, and Maintainable Software Systems

Register NowExplore Details

Early access to e-LMS included

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Weeks

About This Course

The Software Architecture Design program focuses on modern software architecture principles, including monolithic, microservices, serverless, and event-driven architectures. Participants will gain hands-on experience with design patterns, scalability techniques, DevOps integration, and cloud-native applications. The program is designed for software engineers, solution architects, and IT professionals who want to master architectural decision-making for building robust applications.

Aim

To provide participants with the principles, patterns, and best practices of software architecture, enabling them to design scalable, secure, and high-performance software systems for enterprise and cloud environments.

Program Objectives

  • To introduce participants to software architecture principles, patterns, and styles.
  • To train participants in designing scalable and secure software solutions.
  • To provide hands-on experience with cloud-native and microservices-based architectures.
  • To explore performance optimization, DevOps integration, and monitoring techniques.
  • To prepare participants for leadership roles in software architecture and design.

Program Structure

Week 1: Fundamentals of Software Architecture

Module 1: Introduction to Software Architecture

  • What is Software Architecture?
    • Importance of software architecture in modern applications.
    • Key principles: Scalability, maintainability, reliability, security, and performance.
  • Types of Software Architecture
    • Monolithic, Microservices, Serverless, Event-Driven, and Layered Architecture.
    • Choosing the right architecture based on business needs.
  • Software Development Methodologies
    • Agile, DevOps, CI/CD, and their impact on architecture.
    • Waterfall vs. iterative architecture design.

Hands-On Lab:

  • Compare different architectural styles and design a high-level architecture diagram for a sample project.

Module 2: Architectural Design Principles and Best Practices

  • Separation of Concerns (SoC) and SOLID Principles
    • Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion.
  • Designing for Scalability and Performance
    • Load balancing, caching strategies, and distributed systems.

Hands-On Lab:

  • Implement a modular software design following SOLID principles.

Week 2: Software Design Patterns and Cloud-Native Architecture

Module 3: Software Design Patterns

  • Creational Patterns
    • Singleton, Factory, Builder, Prototype.
  • Structural Patterns
    • Adapter, Facade, Composite, Proxy.
  • Behavioral Patterns
    • Observer, Strategy, Command, State.

Hands-On Lab:

  • Implement common design patterns in a sample application.

Module 4: Cloud-Native and Distributed System Architecture

  • Microservices Architecture
    • Service decomposition, API gateways, inter-service communication.
    • Event-driven architectures using Kafka, RabbitMQ, or AWS SNS/SQS.
  • Containerization and Orchestration
    • Dockerizing applications and managing microservices with Kubernetes.

Hands-On Lab:

  • Deploy a microservices-based system using Docker and Kubernetes.

Week 3: Security, Performance Optimization, and Future Trends

Module 5: Security in Software Architecture

  • Securing APIs and Applications
    • OAuth2, JWT, Role-Based Access Control (RBAC).
    • Secure coding practices and vulnerability mitigation.
  • Zero Trust Architecture
    • Network segmentation, authentication, and identity management.

Hands-On Lab:

  • Implement API security using OAuth2 and JWT.

Module 6: Performance Optimization and Future Trends

  • Monitoring and Logging in Enterprise Applications
    • ELK Stack, Prometheus, and Grafana for observability.
  • Future Trends in Software Architecture
    • AI-driven architecture, Blockchain, Edge Computing.

Hands-On Lab:

  • Set up real-time logging and monitoring for a cloud-based application.

Who Should Enrol?

  • Software engineers, developers, and architects
  • IT professionals working on enterprise applications
  • Cloud engineers and DevOps professionals
  • Entrepreneurs developing scalable software solutions

Program Outcomes

  • Mastery of software architecture principles and design patterns
  • Proficiency in microservices, cloud-native, and serverless application design
  • Understanding of DevOps, CI/CD, and Infrastructure as Code (IaC)
  • Experience in designing scalable, resilient, and secure software solutions
  • Hands-on experience in enterprise application development

Fee Structure

Standard: ₹16,998 | $224

Discounted: ₹8,499 | $112

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • 1:1 project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication

Excellent delivery of course material. Although, we would have benefited from more time to practice with the plethora of presented resources.

Kevin Muwonge
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Thank you

Rabea Ghandour
★★★★★
Large Language Models (LLMs) and Generative AI

The mentor was supportive, clear in their guidance, and encouraged active participation throughout the process.

António Ricardo de Bastos Teixeira
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

Thanks for the very attractive topics and excellent lectures. I think it would be better to include more application examples/software.

Yujia Wu

View All Feedbacks →

Still have any Query?

>