About Android with AI
Android with AI focuses on building intelligent mobile applications by combining Android
development with powerful Artificial Intelligence technologies.
This course offers in-depth training on Android development using Java or Kotlin and Android
Studio, while introducing AI capabilities such as TensorFlow Lite, ML Kit, Natural Language
Processing, and Computer Vision.
Designed for mobile app developers, AI enthusiasts, and software engineers, the course bridges
the gap between Android development and smart app functionality.
Led by industry professionals with real-world project experience, the course covers topics like
on-device AI inference, camera-based ML, voice recognition, and real-time data processing.
Learners will acquire the skills to develop responsive Android apps capable of tasks such as
image classification, text detection, translation, and predictive analytics.
Android with AI Course Objectives
You will be expertise and eligible for:
- Develop intelligent Android applications using Java/Kotlin and Google's AI tools
- Integrate pre-trained models and custom AI models using TensorFlow Lite and ML Kit
- Implement features like image labeling, face detection, barcode scanning, and smart replies
- Enable on-device AI for improved performance and user privacy
- Leverage Natural Language APIs for language detection, translation, and sentiment analysis
- Connect Android apps with AI-powered APIs and backend intelligence services
Pre-Requisites
The course is suitable for any developer, student, or AI enthusiast with a basic understanding
of:
- Computer and mobile usage fundamentals
- Basic programming skills (preferably Java or Kotlin)
- Familiarity with Android or mobile app development (helpful but not mandatory)
Duration of the Course
- "L" understands the challenges like security, time limitations, and location that prevent
many learners from attending traditional classes.
- Duration of 45 sessions.
- 1 hour per day.
- Provides soft copy of every class after its completion.
- Provides class recording sessions.