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We're here to help you find itAI 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.
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
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:
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.
Overview of AI and Machine Learning
Development Environment Setup
Machine Learning Basics
Building Machine Learning Models
Mobile AI Frameworks
Implementing Models in Mobile Apps