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    • Embedded Systems

    Embedded Systems Courses Online

    Master embedded systems design for developing integrated hardware and software solutions. Learn to program microcontrollers and design real-time applications.

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    Explore the Embedded Systems Course Catalog

    • I

      IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Dashboard, Relational Databases, File Management, Star Schema

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, Stored Procedure, Object Oriented Programming (OOP), Unit Testing, Algorithms, Django (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Linux System Programming and Introduction to Buildroot

      Skills you'll gain: Embedded Systems, System Programming, Linux, Operating Systems, File Systems, Shell Script, Debugging, OS Process Management, Build Tools, C and C++, Cross Platform Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      131 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Introductory Human Physiology

      Skills you'll gain: Respiration, Anatomy, Pulmonology, Cardiology, Nephrology, Urology, Kinesiology, Vital Signs, Neurology, Biology, Nutrition and Diet, Gynecology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cybersecurity, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN), Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Neural Networks, Governance, Prompt Engineering, Machine Learning, Automation, Digital Transformation, Business Transformation, Business Technologies, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      AI in Healthcare

      Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Medical Records, Unstructured Data, Health Care, Patient Evaluation, Health Informatics, Data Mining, Statistical Machine Learning, Applied Machine Learning, Electronic Medical Record, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Health Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      525 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • IBM Data Warehouse Engineer: IBM
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • Meta Database Engineer: Meta
    • Linux System Programming and Introduction to Buildroot: University of Colorado Boulder
    • Introductory Human Physiology: Duke University
    • Connect and Protect: Networks and Network Security: Google
    • Introduction to Artificial Intelligence (AI): IBM
    • SQL for Data Science: University of California, Davis
    • AI in Healthcare: Stanford University
    • Tools for Data Science: IBM

    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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