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Edge AI Developer

An Edge AI Developer is responsible for deploying AI on real-world devices at the network's edge, such as wearable devices, rather than relying on centralized data centres. This role requires adapting AI development skills to address the unique challenges posed by edge computing, IoT devices, and evolving AI efficiency while sharing some common skills with traditional AI developers.

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SKILLS

Skilled in dissecting use cases, analysing objectives, business, and data requirements, and identifying constraints for edge device compatibility to kickstart the development process.

Course to come 

Level
Target Audience
COMING SOON

Skilled in employing Digital Signal Processing (DSP) techniques for data pre-processing, including outlier removal and domain transformation, to prepare data for embedded machine learning

Course: Data Pre-Processing for Data Analytics and Data Science

Level: Fondations
Target Audience: Mid level Employee
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Skilled in employing Digital Signal Processing (DSP) techniques for data pre-processing, including outlier removal and domain transformation, to prepare data for embedded machine learning

Course: Learn Digital Signal Processing (DSP)

Level: Fondations
Target Audience: Junior (Fresh Employee)
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Skilled at running memory-constrained machine learning models, like Computer Vision, on embedded devices, addressing memory and processing limitations throughout the data cycle

Course: Machine Learning: Modern Computer Vision & Generative AI

Level: Fondations
Target Audience: Junior (Fresh Employee)
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