Master System Design & Software Architecture: Basic-Advanced

Master System Design & Software Architecture: Basic-Advanced udemy course free download

Learn Software Architecture, System Design, Microservices & AWS to build scalable, reliable, secure systems.

Are you ready to advance your career from a developer to a software architect and transition from coding applications to architecting large-scale, high-performance systems?

This Software Architecture Course provides a complete journey, from mastering the fundamentals of software architecture and system design for developers to leveraging AWS cloud-native services in real-world scenarios.

This hands-on, in-depth software architecture online course equips you with the technical skills, architectural mindset, and cloud expertise needed to design scalable, resilient, and cost-effective systems that meet modern enterprise needs.

What You’ll Learn:

Roles and Responsibilities:

• Understand the key differences between Software Architect vs. Solutions Architect.

• Explore Software Architecture vs. System Design.

• Learn how to build and maintain an Architectural Vision.

AWS Cloud-Native Services:

• Amazon IAM: User creation, role policies, and enabling MFA.

• Cost Management: AWS Pricing Calculator, Budgets, and Free Tier usage.

• Amazon EC2: Instance Types, EBS, Pricing Models (On-Demand, Reserved, Dedicated, and Savings Plans).

• Storage Services: Amazon S3, S3 Storage Classes, Access Policies; EBS Volumes; and Amazon EFS.

• Networking: Amazon VPC, Subnets, IGWs, and Availability Zones.

• Load Balancing: ALB, NLB, and ELB with EC2 integration and cost analysis.

• Databases: Amazon RDS (MySQL, Aurora), DynamoDB setup, and real EC2 connections.

• Serverless: Build AWS Lambda functions with S3 triggers and CloudWatch logging.

• API Gateway: Create and manage REST APIs and explore integration options.

Important System Design Concepts:

• Stateful vs. Stateless Architectures

• Load Balancer vs. Reverse Proxy

• Fault Tolerance, Redundancy, Replication

• Failure Detection & Recovery, Rollback vs. Roll Forward

• Retry Mechanism, Timeouts, Health Checks, Fallback Mechanism

• Rate Limiting

• Database Redundancy, Partitioning, Sharding

• Database Consistency Models, Consistent Hashing

Communication Protocols & Messaging:

• HTTP Versions, REST, gRPC, GraphQL

• AMQP, RabbitMQ, Apache Kafka

• Event-Driven & Data Streaming Systems

• Amazon SQS, Amazon SNS, Amazon EventBridge

• WebSockets

Architectural Styles & Patterns:

• Client-Server, Layered (n-tier), Component-Based, Monolithic, Service-Oriented Architecture (SOA),

• Microservices Architecture

• Domain-Driven Design (DDD)

Microservices Core Concepts:

• Service Discovery, Load Balancer, API Gateway

• Service Mesh, Configuration Server, Database Per Service

• Circuit Breaker Pattern, SAGA Pattern, CQRS, Event Sourcing

• Choreography Pattern, Aggregator Pattern, Backend for Frontend (BFF)

Comparison:

• Monolith vs Microservices

• SOA vs Microservices

Migration Techniques:

• Decomposition Strategies

• Strangler Pattern

• Serverless Architecture

Design Patterns and AWS Compute Services

Security:

• Authentication vs Authorization

• Multi-Factor Authentication (MFA), Single Sign-On (SSO)

• Role-Based Access Control (RBAC)

• AWS IAM Policies – Identity, Resource, and Session-based

• Shared Responsibility Model

• JWT (JSON Web Tokens) – Creation and Validation

• Amazon Cognito, OAuth 2.0 vs OpenID Connect (OIDC)

Scalability:

• Vertical vs. Horizontal Scaling

• Auto Scaling with Amazon EC2 and ELB

• AWS Application Auto Scaling

• Relational Database Scalability: Challenges and Solutions

• Scalability with Amazon RDS, Aurora, and DynamoDB

• Best Practices for Scalable Design

Reliability:

• Purpose, Benefits, and Trade-Offs

• Measuring MTBF (Mean Time Between Failures) and MTTF (Mean Time to Failure)

• Building a Business Continuity Plan (BCP) and Disaster Recovery Strategy

• Ensuring Network Reliability and Security

Availability:

• Impacts and Challenges of Availability

• Response Time Optimization

• Active-Active vs. Active-Passive Clustering

• Availability Implementation Using:

  • Amazon EC2, Amazon S3

  • Amazon RDS, Amazon Aurora

  • Amazon DynamoDB

  • Globally Distributed Applications

  • Multi-Region Deployment

  • CDN via Amazon CloudFront

Performance:

• Understanding Metrics: Speed, Latency, Throughput, Bandwidth

• Using CloudWatch Metrics for Monitoring

• Concurrency vs. Parallelism

• Load Shedding, Request Batching

• Lazy Loading vs. Eager Loading

Deployment Considerations

• AWS-Specific Performance Tuning:

  • EC2 Placement Groups

  • Millisecond Latency Techniques

By the end of this Software Design and Architecture Course, you'll be equipped with the expertise to lead architecture decisions, design scalable cloud solutions, and deliver high-performing software systems for enterprise needs.

Who this course is for:

• Developers or Senior Developers, who are passionate about advancing their careers in technology and want to learn System Design and Software Architectures.

• Developers who want to gain hands-on experience with cloud-native services in the AWS platform.