Software & AI Solutions Architecture

Introduction to System Design

Requirements & Capacity Estimation

System Design Process

Core System Building Blocks

Client Layer

Networking Infrastructure

Edge Layer

Application Layer

Data Layer

Caching Layer

Messaging & Streaming

Service Infrastructure

Observability Systems

Domain Driven Design

Event Driven Architecture

Hexagonal Architecture

Clean Architecture

Distributed Systems

Scaling the Service (Application) Layer

Data Modeling & Storage Design

Monitoring & Alerting

Availability & Reliability

Security in System Design

Database

Memory (JVM / General)

Concurrency

CPU & Resource Usage

Network & Distributed Communication

Storage & I/O

Failure Propagation

Dependency Failures

Resilience Design

Scaling & Traffic

Observability & Operations

Cloud architecture patterns

Security and scalability

Cost optimization

Architecture Decision Records

Balancing reliability, cost and complexity

When to use conventional software vs AI

RAG vs fine-tuning

Agents and tool calling

MCP and enterprise integrations

AI cost, security and reliability trade-offs

AI governance

Human-in-the-loop systems

AI security and responsible usage

Standards for AI-generated code

Leading and reviewing AI-assisted development across teams

Real-World System Design Case Studies

Architecture Review & Case Study Practice