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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

    • G

      Google

      Tools of the Trade: Linux and SQL

      Skills you'll gain: Bash (Scripting Language), Operating Systems, File Systems, Linux Commands, Linux, SQL, File Management, Database Application, Unix, Query Languages, Command-Line Interface, Relational Databases, Authorization (Computing), Authentications, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Linux Kernel Programming and Introduction to Yocto Project

      Skills you'll gain: System Programming, Linux, Embedded Systems, Debugging, Operating Systems, Peripheral Devices, Build Tools, File Systems, C (Programming Language), Development Environment, Command-Line Interface, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Advanced · 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

    • U

      University of Colorado Boulder

      Developing Industrial Internet of Things

      Skills you'll gain: Real-Time Operating Systems, Internet Of Things, Machine Learning Algorithms, Embedded Systems, Engineering Documentation, Product Development, Product Planning, Data Analysis, Debugging, Data Processing, Model Based Systems Engineering, Product Requirements, Electronic Systems, Wireless Networks, File Systems, Infrastructure Security, General Networking, Cybersecurity, Failure Analysis, Simulation and Simulation Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      802 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

      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

    • 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

    • T

      The Hong Kong University of Science and Technology

      Software Engineering: Modeling Software Systems using UML

      Skills you'll gain: Requirements Analysis, Unified Modeling Language, Object Oriented Design, Functional Requirement, Data Modeling, Object Oriented Programming (OOP), Systems Development Life Cycle, System Requirements, Software Development, Software Engineering, Software Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      303 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Embedded Hardware and Operating Systems

      Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Operating Systems, Real-Time Operating Systems, Wireless Networks, Hardware Architecture, Simulations, C (Programming Language), Network Protocols, Application Programming Interface (API)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • A

      Amazon Web Services

      AWS Cloud Support Associate

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Command-Line Interface, Amazon CloudWatch, AWS CloudFormation, Root Cause Analysis, Amazon DynamoDB, Customer Relationship Building, Network Troubleshooting, Amazon Web Services, Customer Relationship Management, Software Architecture, IT Automation, Linux Commands, Cloud Computing, Linux, Amazon S3, Scalability, Technical Support, Web Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

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

    • Tools of the Trade: Linux and SQL: Google
    • Linux Kernel Programming and Introduction to Yocto Project: University of Colorado Boulder
    • SQL for Data Science: University of California, Davis
    • Developing Industrial Internet of Things: University of Colorado Boulder
    • AI in Healthcare: Stanford University
    • Introduction to Artificial Intelligence (AI): IBM
    • Tools for Data Science: IBM
    • Software Engineering: Modeling Software Systems using UML: The Hong Kong University of Science and Technology
    • Embedded Hardware and Operating Systems: EIT Digital
    • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem

    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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