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DEPLOYING TINYML

07.06.2023 |

The course lasts 5 weeks and is designed to meet a variety of commitments ranging from 2 to 4 hours per week. Presented in a self-paced format, and conducted in English, video content and transcripts are also available in English. The course is aimed at intermediate students and offers a free audit option. For those who wish to receive a certificate upon completion, a $249 USD option is available. The course is delivered on the edX platform.

You will learn the basic components of microcontroller-based devices. You will gain insight into their hardware and software aspects, enabling you to program and implement your own TinyML device. Through hands-on training, you will master the art of writing and deploying code on these devices and further explore learning methodologies. The course also emphasizes responsible AI deployment, ensuring you are well versed in ethical and sustainable practices.

Tiny Machine Learning (TinyML) is one of the fastest growing areas of deep learning and is rapidly becoming more accessible. The third course in the TinyML professional certificate program, “Using TinyML,” provides hands-on experience in deploying TinyML on a physical device.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills for ICT professionals

Digital technology

Digital Skills

Artificial Intelligence

Level

Middle

Format of the training

Online

Training fee

Free training

Duration of the training

Type of training

Language of the training

English

Country providing the training

Other

Classification

Single opportunity

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