# Angular Architecture Masterclass

*Master Scalable and Signal-Driven Architectures to Build Enterprise-Grade Angular Apps. Learn how to enforce Nx module boundaries, master the signal ecosystem, build bulletproof component architectures, and leverage AI to supercharge your workflow.*

In this course, you will learn how to design and build highly scalable enterprise applications using the absolute latest Angular features. We strip away legacy concepts like NgModules and Zone.js, replacing them with a 100% standalone, zoneless, and signal-driven paradigm. Finally, you will learn how to modernize your workflow and application capabilities using advanced AI tools, generative UIs, tool calling, and the Model Context Protocol (MCP) to achieve unparalleled development speed.

## Description

Our **Angular Architecture Masterclass** is designed for senior developers and architects who want to establish a bulletproof, modern foundation for their enterprise applications. This intensive workshop is taught by experienced Angular experts who have battle-tested these patterns in large-scale production environments.

We start by shedding legacy Angular. You will build strictly **Standalone** applications that are **Zoneless** and use **OnPush by default**. We will deep-dive into the entire Signals ecosystem (`signal`, `computed`, `effect`, `linkedSignal`, `input`, `model`, `output`). A major focus of this workshop is **Signal Architecture**—how to rethink your application state and properly migrate complex RxJS flows into scalable signal structures.

A core pillar of modern Angular is handling user input. Because of this, we dedicate significant time to mastering **Signal Forms**. You will learn advanced form model design, field state management, and how to utilize schemas for bulletproof validation. We cover everything from async operations and cross-field logic to custom controls and seamless migration strategies from legacy Reactive Forms.

Next, we tackle complex routing and state, implementing robust **Router Layouts**, lazy loading, and functional interceptors. We handle complex UI states—such as table data, filters, and shareable query params—using **rxResource / resource**. We also dive into **Nx Module Boundaries** to enforce clean architecture and explore advanced dynamic UI composition.

Finally, on the fourth day, we completely modernize your workflow and application capabilities with a dedicated module on **AI-Driven Development and Generative UI**. You will learn how to configure modern AI code editors using **`agents.md` and steering files** to guarantee that AI agents generate strict, modern Angular code. We will explore how the **Angular MCP**, **Chrome MCP**, and **WebMCP** bridge the gap between your AI assistant, your workspace, and the browser context. Going beyond workflow tooling, you will learn how to build AI-native Angular applications by implementing **LLM tool calling** and **dynamic UI generation** using cutting-edge libraries like `ag-ui`, `a2ui`, and `hashbrown`.

## Takeaways

* **Architect Modern Foundations**: Build strictly standalone, zoneless applications using `OnPush` and the new control flow.  
* **Master Signal Architecture**: Rethink state management with Signals, utilizing derivations, inputs, and seamless migration strategies.  
* **Deep-Dive into Signal Forms**: Design robust form models, handle complex cross-field validation, leverage schemas, and confidently migrate from Reactive Forms.  
* **Establish Component Standards**: Enforce a strict, scalable pattern for component anatomy (Injectables \-\> Inputs/Outputs \-\> State \-\> Derivations \-\> Lifecycle \-\> Methods).  
* **Advanced Routing & Data**: Utilize functional interceptors, resolvers, robust guards, `rxResource`, and smart data caching strategies.  
* **Scale with Nx**: Define strict module boundaries, libraries, and clean architectural layers within an Nx workspace.  
* **AI-Supercharged Workflow & Generative UI**: Master AI code editors, configure steering files, leverage advanced MCPs (Angular, Chrome, WebMCP), and build dynamic AI-generated interfaces using `ag-ui`, `a2ui`, `hashbrown`, and tool calling.