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Course Overview

Master the art of building powerful, cross-platform mobile applications with our comprehensive React Native course. This program is designed for developers who want to create iOS and Android apps from a single codebase, drastically reducing development time and effort. You'll move from the core fundamentals to advanced concepts, learning how to build responsive UIs, manage state, integrate with device APIs, and publish your apps to the major app stores. By the end, you'll have the skills and a portfolio-worthy project to launch your career as a versatile mobile developer.

Course Content

  • Module 1: Foundations of React & React Native
    • Setting up your development environment (Node, Expo CLI, Android Studio/Xcode)
    • Core React concepts: JSX, Components, Props, and State
    • Building your first mobile app with Expo

  • Module 2: Building Mobile User Interfaces
    • Core Components: View, Text, Image, ScrollView, etc.
    • Styling with StyleSheet and Flexbox for layout
    • Building responsive designs that work on different screen sizes
    • Navigation with React Navigation (Stack, Tab, and Drawer navigators)

  • Module 3: Handling Data and State Management
    • Managing local state with the useState and useEffect hooks
    • Introduction to global state management with Context API
    • Handling user input with TextInput, Button, and other interactive components

  • Module 4: Accessing Device Features and APIs
    • Using device hardware: Camera, Location, and Accelerometer
    • Working with device storage (AsyncStorage) and permissions

  • Module 5: Building a Capstone Project & Deployment
    • Integrating a real-world API to fetch and display data
    • Building a complete, portfolio-ready application from scratch
    • Preparing and publishing your app to the Google Play Store and Apple App Store

1: Do I need any experience?

Absolutely! Many AI courses are designed specifically for beginners. They start with foundational concepts and often use beginner-friendly tools and platforms that minimize complex coding. Look for courses labeled "Introductory," "No-code AI," or "AI for Everyone." These will help you build a solid understanding of the principles before you advance to more technical, programming-heavy topics.
These terms are often used interchangeably, but they represent a hierarchy of concepts:
- Artificial Intelligence (AI) is the broadest field, focused on creating machines capable of intelligent behavior.
- Machine Learning (ML) is a subset of AI that gives computers the ability to learn from data without being explicitly programmed for every task.
- Deep Learning (DL) is a further subset of ML that uses complex neural networks to solve advanced problems like image and speech recognition.
Most foundational courses will cover the relationship between these fields, while specialized courses will dive deep into one area.
Our courses are project-based to ensure you gain hands-on experience. You'll work on real-world projects such as building a movie recommendation system, developing a chatbot, or creating an image classifier. These projects form a practical portfolio that demonstrates your skills to employers. This hands-on approach prepares you for roles like AI Specialist, Machine Learning Engineer, or Data Analyst, and equips you with in-demand skills to solve business problems.

Student Reviews

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