AI and Machine Learning for Mobile Developers Intermediate
This course equips mobile developers with AI and ML skills to build intelligent apps using TensorFlow Lite and Core ML, solving the critical gap in on-device AI integration. Designed for Android and iOS developers, it addresses industry demand—17.2% of mobile roles now require ML skills—with hands-on training in deploying models and creating AI-powered features like image recognition.
Prepares learners for the AI CERTs® Machine Learning for Mobile Developers certification with Koenig’s Guaranteed-to-Run live training and 30-day lab access. Gain job-ready expertise to command higher salaries and lead AI innovation in mobile applications.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The Koenig Original course AI and Machine Learning for Mobile Developers is designed to equip mobile developers with essential AI and ML skills for building intelligent applications on Android and iOS platforms. While no specific certification exam is tied to this Koenig Original curriculum, the training directly supports professionals aiming to integrate AI capabilities into mobile apps, serving roles such as Mobile Application Developer, AI-Enhanced App Engineer, and On-Device Machine Learning Specialist. With 90% of new mobile apps projected to incorporate AI features by 2026 and 14.7% of current job postings requiring generative AI skills, demand for mobile developers with AI proficiency is rapidly growing. This course addresses the industry shift toward on-device intelligence, preparing developers to meet modern app development challenges.
Participants in the AI and Machine Learning for Mobile Developers program engage with key technologies including TensorFlow Lite, Core ML, Google’s ML Kit, MediaPipe, LiteRT, and Gemini Nano-powered GenAI APIs. Through hands-on labs conducted in real Android and iOS development environments, students build functional applications such as image recognition systems, text classification tools, and on-device summarization features using ML Kit’s GenAI APIs. A core project involves deploying a custom TensorFlow Lite model for real-time object detection in a mobile app, optimizing it for performance using LiteRT and on-device hardware accelerators. These labs provide practical experience in preprocessing data, evaluating model accuracy, and maintaining AI models within mobile constraints, ensuring learners gain job-ready skills.
By completing the AI and Machine Learning for Mobile Developers course from Koenig Original, participants position themselves for career advancement in a high-growth domain, with mobile developers possessing AI integration skills earning a median base salary of $198,275—significantly above the $148,750 baseline. The training leverages Koenig’s Guaranteed-to-Run scheduling and 1-on-1 learning options, ensuring flexible, instructor-led access to official courseware and expert guidance. As smartphones increasingly ship with dedicated AI hardware, developers who master on-device machine learning will lead innovation in privacy-conscious, low-latency applications. Graduates of this program are prepared to transition from traditional mobile development to cutting-edge roles in AI-powered app engineering, driving the next generation of intelligent mobile experiences.
What You'll Learn
Prerequisites
- Proficiency in Kotlin or Swift programming languages is essential for mastering AI and Machine Learning for Mobile Developers by Koenig Original.
- A solid understanding of core machine learning concepts including supervised and unsupervised learning is required.
- Experience with mobile development on Android API 23 or higher, or iOS platforms, is necessary for effective implementation.
- Familiarity with TensorFlow Lite version 2.0 or higher and Core ML 3.0 or higher is vital for integrating machine learning models.
- Working knowledge of data preprocessing and model evaluation techniques is required to build accurate models.
- Hands-on experience with development environments such as Android Studio or Xcode is expected for seamless feature implementation.
Certification Exam
Everything you need to know about the AI and Machine Learning for Mobile Developers certification exam
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Official Courseware
Hands-On Lab Environment (30 days)
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Hands-On Lab
Live Lab Sandbox
Real EnvironmentPractice in a real lab environment with full access to the tools and services covered in the course.
30+ Guided Labs
30+Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.
Lab Manual Included
Full GuideComprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.
Post-Training Access
30 Days30 days of extended lab access after your training ends so you can continue practicing.
Career Outcomes
of AI and Machine Learning for Mobile Developers certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the AI and Machine Learning for Mobile Developers certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Mobile AI Developer
- Machine Learning Engineer - Mobile
- AI Mobile Application Developer
- Edge AI Specialist
- Mobile ML Engineer
- Intelligent Mobile App Developer
Companies Hiring
and 5,000+ organizations worldwide seeking AI and Machine Learning for Mobile Developers certified professionals
Course Student Reviews
Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.
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“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
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“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
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“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
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“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
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“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
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“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
-
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified -
★★★★★
“Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”
AZ-104 Certified ✓ Verified -
★★★★★
“I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”
Enterprise Client ✓ Verified -
★★★★★
“The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”
PL-300 Certified ✓ Verified
-
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified -
★★★★★
“From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”
AZ-305 Expert ✓ Verified -
★★★★★
“As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”
100+ Learners Trained ✓ Verified -
★★★★★
“SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
AI-102 Certified ✓ Verified -
★★★★★
“DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the AI and Machine Learning for Mobile Developers training course
Is the certification exam included in the AI and Machine Learning for Mobile Developers course fee?
What training formats are available for AI and Machine Learning for Mobile Developers?
How long is lab access provided for AI and Machine Learning for Mobile Developers?
What is the rescheduling and cancellation policy for AI and Machine Learning for Mobile Developers?
What is the exam format for AI and Machine Learning for Mobile Developers?
How long is the AI and Machine Learning for Mobile Developers certification valid?
What post-training support is included with AI and Machine Learning for Mobile Developers?
What prerequisites are required for AI and Machine Learning for Mobile Developers?
What is the career impact of completing AI and Machine Learning for Mobile Developers?
Why choose Koenig over self-study for AI and Machine Learning for Mobile Developers?
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