AI-Assisted Angular & Frontend Development
Description
This course teaches modern Angular development together with AI-assisted development practices and the implementation of AI-enabled user interfaces, so that students learn both how to build Angular applications themselves and how to develop them more productively with the support of AI tools.
Indicative Duration: 72 training hours
*Duration is adjusted based on the final scope and the target audience.
Scope
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1. Development Foundations
and Frontend Basics |
GIT: -create repo -branch, local repo -remote repo -conflict resolution -github plugin VS, pull, stashAI Practice: Using AI to translate natural language into Git CLI commands, explain the “why” behind merge conflicts, and simulate safe branching strategies before executing them. |
| • HTML, CSS, JS overview • User Interface design • UI Libraries (i.e., Bootstrap)AI Practice: Using AI to generate semantic HTML/CSS layouts and user interactivity through JS from text descriptions, convert raw ideas into Bootstrap grid structures, and troubleshoot common CSS alignment/flexbox issues. |
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2. Angular Fundamentals and Project Structure
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• Overview of Angular and setting up a new project • Basic components and the Angular CLI • Module Architecture (Core/Shared/Feature) • Introduction to standalone components and modulesAI Practice: AI assistance to accelerate project bootstrapping and generating CLI commands. |
| • Property binding, event binding, and interpolation @if, @for, @switch modern template control flow • Component communication: @Input and @Output decoratorsAI Practice: Using AI to migrate legacy *ngIf/*ngFor snippets to the modern Angular control flow syntax, and generating boilerplate for parent-child component communication. |
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3. Reactivity in Angular: RxJS and Signals
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• Overview of Observables and reactive programming concepts • Observables for real-time data flow • RxJS basics: operators, streams, and error handlingAI Practice: Using AI to explain and visualize reactive data flow, suggest appropriate RxJS operators for specific data transformations (e.g., switchMap vs mergeMap), and break down complex data streams. |
| • Signals for reactive data handling • Signals in template directives • Signals vs RxJSAI Practice: AI-supported refactoring from legacy RxJS BehaviorSubject patterns to modern Angular Signals |
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4. Services, Dependency Injection, and Data Access
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• Introduction to services and dependency injection in Angular • Shared services for component interactionAI Practice: Using AI to scaffold robust service classes and identify tight coupling in service design. |
| • Introduction to Angular’s HTTP Client, API integration patterns and HTTP requests (GET, POST, PUT, DELETE) • Typed API responses • Observables/Signals in use with HTTP requests and handling errorsAI Practice: Preparation for AI-enabled application communication, using AI to generate strongly-typed TypeScript interfaces from raw JSON API payloads, and scaffolding HTTP services with robust error handling. |
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5. Forms and User Input Management
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• Overview of Angular forms: template-driven vs. reactive forms • Template-driven forms with basic validation • Introduction to reactive forms and FormBuilderAI Practice: Using AI to rapidly generate FormBuilder scaffolding based on a list of required business fields. |
| • FormGroup, FormControl, and FormArray • Custom validation and error handling • Conditional form controls and dynamic form fields • Signal FormsAI Practice: Using AI to write complex custom validators (e.g., specific regex for passwords/IDs), generate logic for dynamic FormArrays, and adapt traditional forms to stateful Signal patterns. |
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6. Navigation, Routing, and Application Security
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• Routing and nested routes • Configuration of lazy-loaded modules and route-based lazy loading in standalone apps • Route guards to secure navigationAI Practice: Using AI to configure complex nested route objects, generate lazy-loading syntax for standalone components, and write modern functional route guards for authentication. |
| • Resolvers • Application security: Guards, Interceptors and JWT TokenAI Practice: Using AI to scaffold modern functional HTTP Interceptors for JWT attachment, simulate security vulnerability audits in client-side code, and write modern functional resolvers. |
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7. Rendering Strategies and Performance
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• SSR vs CSR and prerendering • Route/Server render modesAI Practice: Using AI to troubleshoot common SSR errors (e.g., handling missing window or document objects on the server). |
| Build system and compilation
AI Practice: Using AI to analyze bundle sizes and suggest tree-shaking optimizations. |
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| Hydration Incremental HydrationAI Practice: Using AI to design components optimized for @defer blocks and incremental hydration, improving Core Web Vitals and initial load times. |
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| 8. Testing, Quality, and Maintainability | Introduction to unit testing for components and services Reactive forms and HTTP calls testing Best practices for structuring and maintaining an Angular project Legacy enteprise setup: Karmine/Jasmine Modern setup: VitestAI Practice: Using AI to generate comprehensive test suites in Vitest, mock complex HTTP dependencies, ensure edge-case coverage in form validation, and translate legacy Karma/Jasmine tests into modern Vitest syntax. |
| 9. Deployment and Environment Packaging | Introduction to docker Dockerization of an Angular application Differences between dev image and production imageAI Practice: Using AI to generate multi-stage Dockerfile configurations optimized for Angular, configure Nginx for serving static files efficiently, and troubleshoot common container networking issues. |
| 10. State Management at Scale | Introduction to NgRx NgRx with signalsAI Practice: Using AI to reduce NgRx boilerplate (generating Actions, Reducers, Effects), and assisting in migrating legacy NgRx state to the modern, lightweight NgRx SignalStore. |
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11. AI Integration in Angular Applications
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Building an AI Chat Interface with Angular Chat-style UI structure, message thread presentation, prompt input, loading and error states HTTP communication with backend endpoints for prompt submission and response retrieval Reactive state handling for conversation history, response updates, and user interaction flow Security in AI applicationsAI Practice: Using AI to architect the chat UI state machine, generate robust loading/streaming text UI components, and analyze potential prompt injection vulnerabilities in the application layer. |
| Understanding the role of MCP in Angular, structured context in AI-assisted development, and current ecosystem limitations AI-assisted Angular development patterns for components, services, and templates with emphasis on validation and developer responsibility Evaluation of AI-generated Angular code, common pitfalls, best practice alignment, and architectural controlAI Practice: Using AI to query up-to-date Angular documentation, generate and refine small scoped code snippets, validate implementations against official standards, and explain reasoning behind suggested solutions. |
Learning Objectives
Upon completion of the course participants will be able to:
- Develop modern, scalable frontend applications using Angular’s latest features, including Standalone Components, Signals, and the new template control flow (@if, @for).
- Use AI tools and Model Context Protocol (MCP) integrations effectively for rapid component generation, reactive state refactoring, and UI/UX implementation.
- Critically evaluate and verify AI-generated frontend code, while also successfully identifying and filtering out legacy Angular syntax in favor of modern best practices.
- Implement robust routing, state management (NgRx SignalStore), and secure HTTP communication with backend REST or AI APIs.
- Apply modern testing (Vitest), containerized deployment (Docker), and performance optimization strategies within an AI-assisted frontend workflow.
Target Audience
- Roles: Frontend Developers, Full Stack Developers, Web UI Engineers, Software Engineers
- Seniority: Recent Graduates to Junior/Mid-Level Professionals
Prerequisite Knowledge
- Basic understanding of core web technologies (HTML, CSS, JavaScript/TypeScript)
- General programming concepts, typical of a recent university graduate
- No prior professional Angular or enterprise frontend framework experience required
Delivery Method
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions
