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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

    • A

      Akamai Technologies, Inc.

      Operating Systems Fundamentals

      Skills you'll gain: Linux, Linux Administration, File Systems, Linux Commands, Operating Systems, User Accounts, OS Process Management, System Configuration, Authorization (Computing), Command-Line Interface, Open Source Technology, Systems Administration, Virtualization, Identity and Access Management, Virtual Machines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

      Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Generative AI, Agentic systems, Productivity, AI Personalization, OpenAI, Expense Management, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Google Workspace, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Business Process Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Prompt Engineering for Educators

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, OpenAI, Large Language Modeling, Game Design, Data Analysis, Organizational Skills, Education Software and Technology, Computer Vision, Data Storytelling

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

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      Systems Thinking In Public Health

      Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Policy Analysis, Policy Development, Simulations, Systems Analysis, Qualitative Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      929 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I)

      Skills you'll gain: Patient Safety, Systems Thinking, Health Systems, Safety Assurance, Health Care, Healthcare Industry Knowledge, Accident Prevention, Continuous Quality Improvement (CQI), Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Technical Support Fundamentals

      Skills you'll gain: Desktop Support, Computer Hardware, Technical Support, Software Installation, Operating Systems, Help Desk Support, Technical Documentation, Hardware Troubleshooting, Software Documentation, End User Training and Support, Computer Networking, Information Technology, Computer Architecture, Technical Communication, Linux, Microsoft Windows

      4.8
      Rating, 4.8 out of 5 stars
      ·
      159K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Security Engineer

      Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, System Monitoring, Prompt Engineering, Network Monitoring, Cloud Computing Architecture, Containerization, Network Architecture, Role-Based Access Control (RBAC), Network Security, OAuth, Network Routing, Cloud Security, Virtual Private Networks (VPN)

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect

      Skills you'll gain: Cloud Infrastructure, Kubernetes, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Microservices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Operating Systems Fundamentals: Akamai Technologies, Inc.
    • ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier: Vanderbilt University
    • Prompt Engineering for Educators: Vanderbilt University
    • Systems Thinking In Public Health: Johns Hopkins University
    • Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I): Johns Hopkins University
    • AI Agents in Java with Generative AI: Vanderbilt University
    • Technical Support Fundamentals: Google
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Preparing for Google Cloud Certification: Cloud Security Engineer: Google Cloud
    • Neural Networks and Deep Learning: DeepLearning.AI

    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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