ML at the Edge on Arm: A Practical Introduction
Exploration of the implementation of AI and machine learning in constrained environments and Arm microcontrollers.
Description for ML at the Edge on Arm: A Practical Introduction
Core AI and Machine Learning Concepts: Offers a comprehensive comprehension of the practical applications of AI principles and machine learning.
Machine Learning on Arm Microcontrollers: Provides a comprehensive understanding of the implementation of machine learning on Arm microcontrollers, with a particular emphasis on the acquisition of sensor and peripheral data.
Artificial Neural Networks and Constrained Environments: Provides an explanation of the fundamentals of Artificial Neural Networks, including Convolutional Neural Networks and Deep Learning, in resource-limited environments.
Computer Vision Deployment: Provides instruction on the efficient deployment of computer vision models on microcontrollers through the use of CMSIS-NN.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by ArmEducationX
Duration: 3�6 hours per week approx 6 weeks
Schedule: Flexible
Pricing for ML at the Edge on Arm: A Practical Introduction
Use Cases for ML at the Edge on Arm: A Practical Introduction
FAQs for ML at the Edge on Arm: A Practical Introduction
Reviews for ML at the Edge on Arm: A Practical Introduction
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML at the Edge on Arm: A Practical Introduction
Featured Tools
The course "Building a Generative AI Ready Organization" offers the necessary components for the successful adoption of Generative AI within an organization. This course concentrates on business leaders and other decision-makers who are currently or potentially involved in Generative AI initiatives.
Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Become a machine learning engineer. Enhance your programming abilities with MLOps
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs