AI-Assisted Web Developer

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Overview

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This Specialization takes you from React basics to full-stack applications built with AI support. You learn the frontend foundations first, then add the AI tools and APIs that speed up everyday development work. You begin with React — components, state, styling, forms, and API calls — and move on to Next.js, where you work with the App Router, layouts, dynamic routes, and data fetching in server components. From there you connect real generative AI APIs and build a chatbot with streaming responses and multiple chat histories. The rest of the Specialization focuses on AI coding assistants. You set up and use GitHub Copilot, Cursor, Windsurf, Claude Code, and Google Antigravity, and learn the parts that matter in daily work: chat modes, project context, custom rules, memories, commands, and agent skills. You also practise prompt engineering so the results you get are clearer and more accurate. By the end, you can build React and Next.js applications, connect them to AI APIs, and use AI coding tools as a normal part of your workflow.

Syllabus

Course 1: Mastering React: From Fundamentals to Real Projects
Course 2: Mastering GitHub Copilot: From Setup to Real Projects
Course 3: Mastering Next.js: Build Full-Stack Applications
Course 4: Mastering Cursor: From Setup to Real Projects
Course 5: Build AI Chatbots with React and AI APIs
Course 6: Mastering Claude Code: From Setup to Real Projects
Course 7: Mastering Windsurf: From Setup to Real Projects
Course 8: Mastering Google Antigravity: From Setup to Real Projects

Courses

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Unlock the full potential of GitHub Copilot and supercharge your coding workflow! This practical course helps developers use AI-assisted coding in real daily work — from setup in VS Code to building a real project, improving prompts, and configuring Copilot for repeatable workflows. Throughout the course, you’ll explore: GitHub Copilot Fundamentals: Set up Copilot in VS Code and learn core features like code completions, Inline Chat (editor + terminal), Smart Actions, and the Copilot Chat interface. Copilot Basics for Real Use: Understand why Copilot matters, common developer use cases, pricing plans and limitations, and key data privacy basics you should know before using AI at work. Chat Modes + Context: Master Copilot Chat modes — Ask, Edit, and Agent — and learn how to provide the right context so Copilot gives more accurate and useful answers. Real-World Project (Calculator App): Build a modern Calculator App with Copilot end to end: create a development plan, implement the UI, style it, add input limits and number formatting, replace custom logic with a library, write unit tests, and generate documentation. Optimizing Your Workflow: Learn how workspace indexing works, manage ignored files with .gitignore, write effective custom instructions, and use prompt files for repeated tasks and templates. Agent Skills & Custom Agents (Advanced): Understand Agent Skills, explore popular community skills, build your first skill, and use ready-to-use templates. You’ll also get an intro to custom agents and practical templates (as upcoming/optional lessons). By the end of the course, you’ll be able to use GitHub Copilot with confidence: plan features, generate and refactor code, write tests, document your work, and set up reusable AI workflows that save hours every week.
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Unlock the full potential of Cursor and supercharge your coding workflow! This practical course helps developers use AI-assisted coding in real daily work — from setup and core features to building a real project, writing better prompts, and creating repeatable AI workflows inside the editor. Throughout the course, you’ll explore: Cursor Fundamentals: Set up Cursor and learn its core features like Agent, Tab, chat, code generation, code editing, and working with your codebase more effectively. Cursor Basics for Real Use: Understand why Cursor matters, common developer use cases, pricing plans and limitations, and key privacy and workflow basics you should know before using AI tools in daily development. Working with Agent and Context: Learn how to work with Cursor Agent, provide the right project context, use @-mentions, and write clearer prompts so Cursor gives more accurate and useful results. Real-World Project (Currency Converter App): Build a modern Currency Converter App with Cursor end to end: create a development plan, implement the UI, style it, add input limits and number formatting, replace custom logic with a library, write unit tests, and generate documentation. Optimizing Your Workflow: Learn how Cursor indexes your project, how to control access with .cursorignore, and how to create reusable instructions with Rules for more consistent AI outputs. Advanced Cursor Features: Explore Skills, Subagents, Hooks, MCP, and Cloud Agents to build more powerful and repeatable development workflows. By the end of the course, you’ll be able to use Cursor with confidence: plan features, generate and refactor code, write tests, document your work, and build reusable AI workflows that save hours every week.
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Unlock the full potential of Windsurf and make your daily coding workflow faster and smarter. This practical course helps developers use AI-assisted coding in real work — from setup and core features to building a real project, writing better prompts, and creating reusable workflows inside the editor. Throughout the course, you’ll explore: Windsurf Fundamentals: Set up Windsurf and learn its main features, including Tab completions, inline chat, chat interface, and faster ways to work with your code. Windsurf Basics for Real Use: Understand why Windsurf matters, common developer use cases, pricing plans, limitations, and key privacy basics to know before using AI in daily development. Working with Chat Modes and Context: Learn how to use different chat modes such as Ask, Manual, Agent, and Plan, how to provide better context, and how to write clearer prompts for more accurate results. Organizing Your Codebase: Learn how Windsurf works with your project context, how to control ignored files and folders, and how to use rules, memories, and commands for more consistent and reusable AI output. Advanced AI Workflows: Explore Agent Skills and Subagents to create more powerful and repeatable workflows for development tasks. Prompt Engineering Essentials: Learn prompt engineering basics, common mistakes, best practices, advanced prompting techniques, and role-based prompts to get better output from AI tools. By the end of the course, you’ll be able to use Windsurf with confidence: understand its core AI features, work better with context, build real apps faster, write tests and documentation, and create repeatable workflows that save time every week.
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Unlock the full potential of Google Antigravity and improve your daily coding workflow with AI. This practical course helps developers use AI-assisted coding in real work — from setup and core features to building a real project, writing better prompts, and creating reusable workflows inside the editor. Throughout the course, you’ll explore: Antigravity Fundamentals: Install and set up Google Antigravity, learn its main features, and understand how to use Tab, navigation, inline command completions, and the Agent side panel more effectively. Antigravity Basics for Real Use: Understand what Antigravity is, popular developer use cases, payment plans, available models, feature limitations, and telemetry and privacy settings you should know before using it in daily work. Working with Agent Modes and Context: Learn how to execute tasks with Agent Fast Mode, plan work with Agent Planning Mode, provide better chat context, and write clearer prompts for more accurate and useful AI responses. Real-World Project (Calendar App): Build a modern Calendar App step by step with Antigravity: create an implementation plan, build the app in the editor, apply UI fixes, generate fake data, add create/edit/delete event functionality, improve validation and error handling, refactor large components, and write unit tests with Vitest. Organizing Your Codebase: Learn how workspace context works in Antigravity, how to manage ignored files and context boundaries, and how to use Rules and Workflows to make AI output more consistent and reusable. Advanced AI Workflows: Explore Agent Skills, learn from popular community examples, and create your own reusable Agent Skills for development tasks. Prompt Engineering Essentials: Learn prompt engineering basics, common mistakes, best practices, advanced prompting techniques, and role-based prompts to get better output from AI tools. By the end of the course, you’ll be able to use Google Antigravity with confidence: work with its core AI features, provide better context, build real apps faster, improve code with AI, write tests, and create reusable workflows that save time every week.
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Claude Code can help you move faster in day-to-day development by turning ideas into working code from your terminal. In this practical course, you’ll learn how to install and run Claude Code, understand its interface, and apply it to real workflows like adding features, fixing bugs, refactoring, writing tests, and generating documentation. Throughout the course, you’ll explore: Getting started with Claude Code: Create an account, install Claude Code (and NVM/Node.js when needed), and run it in Terminal, an IDE terminal, and the VS Code plugin. Navigate the Claude Code interface: Work with the chat interface, manage context, switch models, control thinking effort, and choose the right permission mode for each task. Getting to know Claude Code: Understand why to use it, common developer use cases, payment plans and limitations, AI model limitations, and data privacy basics. Practice common workflows: Initialize a project, ask Claude Code to add features, troubleshoot and fix bugs, refactor code, delegate writing tests, generate documentation, and perform AI code review. Learn rules and memories: Use Rules & Memories to make Claude Code follow consistent instructions, and apply popular patterns and templates for repeatable work. Explore agent skills: Understand Agent Skills, review popular skills and templates, and create your own skills to automate recurring workflows. By the end of the course, you’ll be able to use Claude Code with confidence: set it up correctly, provide better context, and use a repeatable workflow to ship code faster.
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This course teaches you Next.js from the ground up — starting with project setup and moving through pages, layouts, dynamic routing, and data fetching. You will learn how the App Router works, how to structure a Next.js application, and how to fetch data using both server and client components. Each topic is covered with clear explanations and hands-on screencasts so you can follow along and build real features step by step. Throughout the course, you'll explore: Next.js Fundamentals: Set up your environment, create a Next.js application, understand the project structure and component hierarchy, and explore the available styling options. Pages and Layouts: Create pages and a root layout, link between pages with active link highlighting, and build nested pages with nested layouts. Dynamic Segments and Search Params: Build a sidebar with a list of links, make menu components reusable, create dynamic route segments, and render pages based on search params. Fetching Data: Understand the difference between Server and Client Components, set up a fake API, fetch data in server components, add loading states, and fetch data in client components with Suspense.
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This course teaches you how to build a fully functional AI chatbot application with React and Generative AI APIs. You will connect your app to real AI services, stream responses in real time, and build a multi-chat interface with a sidebar, chat switching, and per-chat history. Every step is practical and hands-on — you will write real code and see results immediately. The course also includes a dedicated module on common React mistakes in JSX, useState, and useEffect — so you can avoid the errors that slow most developers down and write cleaner React code from the start. Throughout the course, you'll explore: React and Generative AI Setup: Set up your development environment, create a React application, and learn how Generative AI APIs work — including pricing models and how to get your first API key. Building a Chatbot UI: Create the app layout, display chat messages, add a text input and send button, and handle message state in the chat. AI API Integration: Connect your chatbot to Google AI (Gemini), OpenAI (ChatGPT), and DeepSeek — and learn how to isolate AI logic for easy reuse and switching between models. Real-Time Streaming: Enable real-time response streaming from Gemini and ChatGPT so messages appear word by word as the AI generates them. Improving User Experience: Add loading states, dark mode, auto-scroll, markdown rendering, auto-resizable text input, and auto-focus to make the chatbot feel smooth and professional. Handling API Issues: Understand usage limits and rate limits, debug broken code, handle API errors gracefully, and display friendly error messages to users. Multi-Chat Sidebar: Build a sidebar that displays all chats, supports switching between them, shows full message history per chat, and includes a "New Chat" button with auto-generated titles. Common React Mistakes: Learn and fix the most frequent mistakes developers make in JSX syntax, useState hook usage, and useEffect hook behavior.
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This course teaches you React from the ground up — starting with the core concepts and building up to a real working application. You will learn how to create components, manage state, handle forms, validate data, and connect your app to a REST API. Every topic is covered with clear explanations and hands-on practice exercises. The course also covers the most common mistakes developers make in React — in JSX, state management with useState, and side effects with useEffect. Knowing these mistakes early will save you hours of debugging and help you build better apps from the start. Throughout the course, you'll explore: React Fundamentals: Set up your development environment, create your first React application, and understand how the project structure works. Creating Components: Build your first React component, write markup with JSX, use variables inside JSX, and learn how to import and export components properly. Adding Interactivity: Pass props between components, respond to events, render lists, use Fragment, and apply conditional rendering to show or hide content. Styling in React: Apply styles using inline styles, CSS files, CSS Modules, and global stylesheets — and explore alternative styling options. Managing State: Understand the component lifecycle, use the useState hook, and handle batch state updates for predictable UI behavior. Managing Complex State: Update objects and arrays in state correctly without mutating them directly. Building a To-Do List App: Build a full To-Do List application step by step — create a form, display and style the list, add edit and delete functionality, and implement filtering by status. Validating Form Data: Add form validation using React Hook Form and Yup — display error messages and create custom validation rules. Working with REST APIs: Fetch, create, update, and delete data via API calls using fetch and useEffect, integrate Axios, and handle errors with try/catch and async/await. Advanced API Techniques: Organize API logic in separate files, build a custom React hook for API calls, display error banners, and show spinners during loading. Common React Mistakes: Learn and fix the most frequent mistakes developers make in JSX syntax, useState hook usage, and useEffect hook behavior.