About Rapid Prototyping of Embedded Interface Designs course

This course can also be credited toward ECEA 5347, part of CU Boulder's Electrical Engineering graduate program. Rapid Prototyping is the second of three courses in the Embedded Interface Design (EID) specialization, an online version of the EID course taught on campus in the Embedded Systems Engineering graduate program. This course focuses on rapid prototyping of devices and systems and the associated methods, practices, and principles to help ensure that your embedded interface designs meet the needs and desires of users. The course includes an introduction to rapid prototyping, prototyping device and system user interfaces, device prototyping, and device design considerations and perspectives. Course content ranges from general design best practices to embedded device-specific topics covering the different types and specifics of user interfaces, but all are presented to support embedded device development. The course includes hands-on projects that allow you to try out some standard software development techniques to prototype graphical user interfaces for devices using Qt and HTML. This course may be credited toward ECEA 5347, part of CU Boulder's Master of Science in Electrical Engineering program.

Company

University of Colorado

Resources

Website

More gallery

Similar courses

Introduction to Image Generation

This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI. Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed. This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

by Genai Works

AI for Product Development

The course is a three-day comprehensive program designed to introduce software developers to the world of cutting edge AI systems and AI-enhanced development. The program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes. Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies. The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging. It also provides an introduction of training a neural network with exercises, and a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.

by Scademy Human - AI Symbiosis Academy Ltd.

IBM AI Developer Professional Certificate

✓ Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for ✓ The fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI ✓ How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies ✓ How to use Python and Flask to develop and deploy AI applications on the web

by Genai Works

Last Reviews

Oops! It looks like you need to sign up

Before leaving a review you need to create an account. Don't worry, it only takes a moment and gives you access to exclusive content and updates. Ready to get started?