Applications of TinyML

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Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.

Key AI Functions:artificial neural networks, smartphone operation, android, anomaly detection, deep learning, speech recognition, machine learning, ai & machine learning

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Description for Applications of TinyML

TinyML Application Code: Comprehend the foundational code that underpins widely utilized TinyML applications and their practical applications in real-world scenarios.
Applications of TinyML Across Various Industries: Explore the implementation of TinyML within diverse sectors to facilitate practical solutions.
Fundamental Principles of TinyML: Explore the foundational concepts of Keyword Spotting, Visual Wake Words, and Anomaly Detection within TinyML systems.
Responsible AI Development: Examine the significance of ethical AI development within the framework of TinyML, along with its associated ethical implications.

Level: Intermediate

Certification Degree: yes

Languages the Course is Available: 13

Offered by: On edX provided by HarvardX

Duration: 3�4 hours per week approx 8 weeks

Schedule: Flexible

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