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Capstone: Autonomous Runway Detection for IoT
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Capstone: Autonomous Runway Detection for IoT

This course is part of Development of Secure Embedded Systems.

Course Cost

Free course

Advanced

Skill Level

29 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Development of Secure Embedded Systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.6

5,682 Enrolled

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English

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olive-leaves-logo

4.6

5,682 Enrolled

olive-leaves-logo

English

What you'll learn

  • Implement IoT-based autonomous aircraft landing systems

  • Develop embedded real-time processing solutions

  • Integrate secure web connectivity and cloud-based backends

  • Handle interfaces between multiple system components

  • Evaluate system efficiency and performance parameters

Skills you'll gain

Embedded Systems
IoT Development
Real-Time Systems
Aircraft Landing Systems
FreeRTOS
System Integration
Runway Detection
Web Security
Cloud Computing
System Architecture

This course includes:

0.6 Hours PreRecorded video

1 quiz, 1 programming assignment, 1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 3 modules in this course

This capstone project course integrates knowledge from real-time systems, web connectivity, security, and embedded hardware. Students develop a comprehensive system for IoT-based autonomous aircraft landing, implementing algorithms and handling interfaces between different actors and hardware platforms. The course emphasizes practical engineering tasks, system evaluation, and real-world parameters like energy consumption and cost, providing hands-on experience in modern embedded software development.

Introduction and methods

Module 1 · 3 Hours to complete

Implementation and integration

Module 2 · 7 Hours to complete

Project submission and Peer review

Module 3 · 19 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Development of Secure Embedded Systems

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Capstone: Autonomous Runway Detection for IoT

Advanced

Skill Level

29 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.