Unlock the full potential of AI by learning how to build powerful, privacy-first, and efficient on-device AI applications. This comprehensive course takes you from zero to expert—equipping you with the skills needed to run AI models directly on smartphones, edge devices, and embedded systems without relying on cloud services.
Whether you’re a developer, engineer, or enthusiast, this course provides hands-on training using TensorFlow Lite, Core ML, MediaPipe, ONNX, and other cutting-edge tools to build fast, reliable, and scalable AI apps.
✅ No prior AI experience required — just basic Python or mobile development knowledge!
What You’ll Learn
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✅ The fundamentals of on-device AI vs. cloud-based AI
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✅ Deploying deep learning models using TensorFlow Lite, Core ML, and ONNX
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✅ Real-time image, video, and audio processing with MediaPipe & Edge AI
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✅ Optimizing AI models for mobile and embedded hardware (quantization, pruning)
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✅ Building AI-powered Android & iOS apps from scratch
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✅ Leveraging tools like ML Kit, Edge TPU, and Raspberry Pi AI kits
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✅ Use cases: Face recognition, object detection, voice assistants, and more
Who This Course is For
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Mobile & app developers who want to integrate AI features into their apps
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Python or ML developers curious about edge computing
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Hardware & IoT enthusiasts building AI at the edge
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Entrepreneurs & product designers looking to create privacy-focused AI apps
Tools & Technologies Covered
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📱 TensorFlow Lite
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🍎 Core ML
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🧠 ONNX Runtime
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🎥 MediaPipe
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📲 Android Studio / Xcode
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💡 Raspberry Pi & Microcontrollers (Bonus Section)
Course Features
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🎓 100% beginner-friendly with real-world examples
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💻 Code-along projects + downloadable source code
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📱 Learn to build deployable mobile AI apps
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🌍 No internet required: Fully offline-capable AI systems
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📜 Certificate of Completion
Lessons:
