Course overview
Description generated based on course syllabus and open data.
The FrontEnd Developer + AI course covers building user interfaces for websites and web applications: from HTML/CSS and JavaScript to TypeScript, Git, and one framework — React or Angular. Duration is about 5.5 months with practical assignments, course projects, and an optional 1–2 month internship. HR support is included for goal formalization, resume, and mock interviews.
FrontEnd Developer + AI course syllabus
HTML5 and CSS3: interface fundamentals
Semantic layout, responsiveness, grids, typography, media, basic animations. The foundation of any web application.
JavaScript: logic and interactivity
Data types, functions, DOM, events, async, modules. Using JS for dynamic content and interactive scenarios.
Git: version control for teamwork
Repositories, branches, pull requests, conflicts and resolution. Team practices and change tracking.
TypeScript: scalability on top of JavaScript
Types, interfaces, generics, component and API typing. Improving code reliability in medium and large projects.
Angular or React: SPA applications
Component approach, state, routing, forms, backend integration, testing. Building SPAs with a clear architecture.
AI Skills for Front-End
Using AI assistants (e.g., for code draft generation, refactoring hints, test creation, code review). Integrating into daily development with attention to quality and transparency.
Internship
Approx. 1–2 months: team practices, software development methodologies, real project processes.
Who this FrontEnd Developer + AI course fits and who it does not
Suitable for
- Beginners without a technical background seeking a structured entry into Front-End.
- Markup developers moving into JavaScript/TypeScript and SPAs.
- Adjacent-domain developers who need UI/SPA competencies.
- Those who want to integrate AI tools into daily development.
Not suitable for
- Those expecting theory only without hands-on coding.
- Those needing niche topics outside Front-End (e.g., low-level programming).
- Those not planning to work with Git or team processes.
Problem → outcome in FrontEnd Developer + AI
- Problem: no HTML/CSS foundation → Outcome: formed understanding of semantics, responsiveness, and UI styling.
- Problem: limited JavaScript practice → Outcome: established patterns for interactivity, events, and async workflows.
- Problem: chaotic team code → Outcome: Git flow usage and code reviews.
- Problem: growing app complexity → Outcome: typing and refactoring with TypeScript.
- Problem: time-consuming routine → Outcome: AI assistants for faster drafts and checks.
Comparison with Front-End alternatives
- Self-study: flexible but time-heavy curation; this course provides a structured path with practice.
- Narrow micro-courses: deep in one tool; here you get a coherent path from HTML/CSS to SPA with AI practices.
- Full-stack from day one: broad but risky overload; starting with Front-End focuses on UI and the JS ecosystem first.
Outcomes of completing FrontEnd + AI
- Layout competencies: semantic HTML5, responsive CSS3, basic animations.
- JS/TS practices: logic composition, DOM work, async, typing.
- SPA capability: routing, forms, state, API integration, testing.
- Git processes: branching, pull requests, code review, conflict resolution.
- AI skills: tools for idea generation, refactoring hints, and routine acceleration.
- A portfolio of course projects and experience with team workflows.
- Prepared materials for a resume and practiced mock interview scenarios.
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