AI and Machine Learning for Mobile Developers Course Overview

AI and Machine Learning for Mobile Developers Course Overview

Unlock the potential of AI and Machine Learning with our comprehensive course designed for mobile developers. This course will guide you through the foundational concepts of AI and ML, their significance in mobile development, and the setup of your development environment on Android and iOS platforms. Learn to preprocess data, build and evaluate machine learning models, and implement them using frameworks like TensorFlow Lite and Core ML. Through hands-on sessions, develop practical applications such as image recognition and text classification apps. Gain insights into advanced techniques, deploy and maintain AI models effectively, and explore future trends and ethical considerations. This course equips you with the skills to innovate and excel in mobile AI development.

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  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Koenig's Unique Offerings

Target Audience for AI and Machine Learning for Mobile Developers

1. Introduction: This comprehensive course equips mobile developers with the skills to integrate AI and machine learning into their apps, targeting those keen on staying at the forefront of technological advancements.


2. Job Roles and Audience:


  • Mobile App Developers
  • Software Engineers
  • Data Scientists specialized in mobile platforms
  • AI/ML Enthusiasts with a focus on mobile applications
  • Android Developers
  • iOS Developers
  • Machine Learning Engineers
  • Technical Leads overseeing mobile development projects
  • CTOs and Tech Managers looking to integrate AI in mobile solutions
  • App Development Consultants
  • Product Managers in tech sectors
  • Computer Science Students with an interest in mobile development and AI
  • Startup Founders aiming to innovate mobile app functionalities with AI
  • Technology Trainers and Educators


Learning Objectives - What you will Learn in this AI and Machine Learning for Mobile Developers?

Brief Introduction

The "AI and Machine Learning for Mobile Developers" course by Koenig Solutions aims to equip developers with the necessary skills and knowledge to integrate AI and machine learning into mobile applications. The course covers essential concepts, practical implementations, and the latest trends in the field.

Learning Objectives and Outcomes

  • Overview of AI and Machine Learning

    • Gain a fundamental understanding of AI and machine learning principles.
    • Learn the importance and various applications in mobile development.
  • Development Environment Setup

    • Set up development tools including Android Studio and Xcode.
    • Install required libraries and frameworks like TensorFlow Lite and Core ML.
  • Machine Learning Basics

    • Understand different data types, sources, and collection methods.
    • Learn data preprocessing techniques: cleaning, normalization, and transformation.
    • Introduction to feature engineering.
  • Building Machine Learning Models

    • Select appropriate algorithms for different tasks such as classification and regression.
    • Train and test machine learning models.
    • Evaluate model performance using specific metrics and validation techniques.
  • Mobile AI Frameworks

    • Gain an overview of TensorFlow Lite and Core ML.
    • Compare different mobile AI frameworks for better understanding.
  • Implementing Models in Mobile Apps

    • Convert

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