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    • Embedded Systems

    Embedded Systems Courses

    Embedded systems courses can help you learn how to design and program specialized computing devices that power everything from smartphones to smart appliances.

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    Find the Best Embedded Systems Course for Your Goals

    • N

      NIIT

      Capstone Project

      Skills you'll gain: React.js, Front-End Web Development, Systems Development Life Cycle, Program Development, Application Development, User Interface and User Experience (UI/UX) Design, UI Components, User Flows, Software Design Documents, Unit Testing, Data Validation, Javascript

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Apache Spark with Scala – Hands-On with Big Data!

      Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Real Time Data, Programming Principles, Machine Learning Algorithms, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Unleash Team Potential: Assess Learning Needs Using GenAI

      Skills you'll gain: Team Performance Management, Generative AI Agents, Gap Analysis, People Development, Training Programs, Talent Management, Team Management, Performance Analysis, Innovation, Needs Assessment, Decision Support Systems, Business Solutions

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Using Beam ML to catch Toxicity in Gaming

      Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Next.js 14 from Scratch

      Skills you'll gain: Full-Stack Web Development, Application Deployment, JavaScript Frameworks, Restful API, MongoDB, React.js, Authentications, OAuth, Back-End Web Development, Server Side, Development Environment, Databases, Cloud Hosting, User Interface (UI)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning, Python Programming, Jupyter, Development Environment, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Créer un diagramme d’affinité avec Creately

      Skills you'll gain: Process Mapping, Brainstorming, Business Software, User Accounts, Collaborative Software

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Persone, tecnologia e futuro della mobilità

      Skills you'll gain: Automation, Interactive Learning, Social Sciences, Economics, Policy, and Social Studies, Electric Power Systems, Augmented and Virtual Reality (AR/VR), Transportation Operations, Policy Analysis, Emerging Technologies, Health Equity, Environmental Issue, Socioeconomics, Social Justice, Public Policies, Safety and Security

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Running Windows Containers on Compute Engine

      Skills you'll gain: Containerization, Docker (Software), Cloud Infrastructure, Microsoft SQL Servers, Cloud Computing, Remote Access Systems, Windows Servers, Virtual Machines, Microsoft Windows

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Como publicar sus diseños corporativos en Slack con Canva

      Skills you'll gain: Slack (Software), Collaborative Software, Marketing Materials, Marketing Design, Content Creation, Facebook, Social Media Content, Shared Media, User Accounts, Multimedia, Digital Publishing, Account Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      S

      Simplilearn

      Basics of Ethereum

      Skills you'll gain: Blockchain, Emerging Technologies, FinTech, Cryptography, Payment Systems, Technical Analysis, Distributed Computing, Network Model, Transaction Processing, Virtual Machines, Scalability

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      CNNs with TensorFlow: Basics of Machine Learning

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to embedded systems

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    embedded systems using c
    introduction to embedded systems software and development environments
    real-time embedded systems
    real-time embedded systems concepts and practices
    real-time embedded systems theory and analysis
    introduction to automotive embedded systems
    fpga design for embedded systems
    1…288289290…329

    In summary, here are 10 of our most popular embedded systems courses

    • Capstone Project: NIIT
    • Apache Spark with Scala – Hands-On with Big Data!: Packt
    • Unleash Team Potential: Assess Learning Needs Using GenAI: Google Cloud
    • Using Beam ML to catch Toxicity in Gaming: Google Cloud
    • Next.js 14 from Scratch: Packt
    • Machine Learning – Modern Computer Vision & Generative AI: Packt
    • Créer un diagramme d’affinité avec Creately: Coursera Project Network
    • Persone, tecnologia e futuro della mobilità: University of Michigan
    • Running Windows Containers on Compute Engine: Google Cloud
    • Como publicar sus diseños corporativos en Slack con Canva: Coursera Project Network

    Why Learn Embedded Systems?

    Embedded systems are specialized computing units built into devices to control functions in everything from smartphones and cars to medical equipment and industrial machines. They combine hardware and software to perform real-time tasks reliably and efficiently. Learning embedded systems can help you develop in-demand skills for engineering, robotics, and smart technology innovation.

    Frequently Asked Questions about Embedded Systems

    Coursera's Embedded Systems courses offer learners the opportunity to gain critical technical skills in the design and implementation of embedded systems:

    • Fundamentals of microcontroller and microprocessor technology.
    • Programming skills specific to embedded systems, such as writing efficient C/C++ code for hardware interfaces.
    • Techniques for integrating sensors and actuators with microcontrollers to build interactive devices.
    • Knowledge of real-time operating systems (RTOS) and their application in managing hardware resources.
    • Best practices for debugging and optimizing embedded system software.
    • Understanding of communication protocols like SPI, I2C, and UART for device connectivity.‎

    Embedded Systems courses on Coursera are structured to accommodate learners at various levels of expertise:

    • Beginners with an interest in electronics can start with basic courses that introduce them to the principles of embedded systems.
    • Those with some programming or electrical engineering background can focus on more advanced topics like RTOS or specific communication protocols.
    • Advanced learners can engage with complex projects that involve sophisticated hardware and software integration.‎

    Learners who complete Embedded Systems courses on Coursera can earn credentials that may enhance their professional qualifications:

    • Professional certificates that may indicate proficiency in specific aspects of embedded systems design and development.
    • Specializations that cover in-depth knowledge areas such as automotive embedded systems, IoT connectivity, or advanced microcontroller techniques.
    • Certificates that can potentially support advancements in careers related to hardware and software integration. ‎

    Proficiency in embedded systems can lead to a variety of specialized technical roles:

    • Embedded Software Engineer, developing software that is directly interfaced with hardware components.
    • Systems Architect, designing comprehensive embedded solutions for industry-specific applications.
    • Hardware Engineer, focusing on the design and testing of microcontroller-based devices.
    • IoT Developer, creating connected devices and systems that operate within the Internet of Things.
    • Automotive Systems Engineer, working on embedded systems within modern vehicles.‎

    Looking to enhance your team's embedded systems skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our embedded systems training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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