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Android Applications
Training

Understand the scope and prospects of Android Applications, learn how ML is being used in various industries with our internship programs and develop the necessary skills and Python programming to become a successful ML Engineer.

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Android Applications

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Android Applications, TensorFlow, and more!

Course Overview

This Android Development course is designed to provide a comprehensive introduction to building modern Android applications. You will learn core Android concepts, UI/UX design, backend integration, and deployment using industry-standard tools like Android Studio, Kotlin, Java, Firebase, and REST APIs. The course focuses on hands-on learning through real-world projects.

  • 1. Introduction to Android & Mobile App Development
  • 2. Setting up Android Studio & Project Structure
  • 3. Java & Kotlin Basics for Android
  • 4. Activities, Intents & App Lifecycle
  • 5. Building Your First Android App

  • 1. Layouts (Linear, Constraint, Relative)
  • 2. Views, Widgets & Material Design
  • 3. RecyclerView & CardView
  • 4. Navigation Components & Fragments

  • 1. SharedPreferences & Internal Storage
  • 2. SQLite & Room Database
  • 3. REST APIs & JSON Parsing
  • 4. Retrofit & Volley

  • 1. Background Services & WorkManager
  • 2. Notifications & Broadcast Receivers
  • 3. Permissions & Security
  • 4. Performance Optimization

  • 1. Firebase Authentication
  • 2. Firestore & Realtime Database
  • 3. Push Notifications with Firebase Cloud Messaging
  • 4. Publishing Apps on Google Play Store

  • 1. Building a Professional Android Portfolio
  • 2. Real-world Capstone Android App
  • 3. Resume & Interview Preparation
  • 4. Industry Best Practices & Career Guidance

Instructor: Jasika Peat, Senior Android Developer

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4.7 ⭐⭐⭐⭐⭐ 4,102+ learners

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