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    • Neural Networks

    Neural Networks Courses Online

    Study neural networks for deep learning applications. Learn about network architectures, training algorithms, and model evaluation.

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    Explore the Neural Networks Course Catalog

    • Status: New
      New
      P

      Packt

      Cyber Security Projects for Your Dream Job

      Skills you'll gain: Security Information and Event Management (SIEM), Cloud Security, Cybersecurity, Network Security, Cloud Computing, Threat Detection, Vulnerability Scanning, Intrusion Detection and Prevention, Cyber Security Assessment, Amazon Web Services, Microsoft Azure, Incident Management, ChatGPT, Virtual Machines

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Architecture - Français

      Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Network Troubleshooting, Computer Networking, Network Infrastructure, Cloud Infrastructure, Google Cloud Platform, Network Routing, Network Security, Network Monitoring, Virtual Private Networks (VPN), Load Balancing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Network Engineering, Artificial Intelligence, Prompt Engineering, Cloud Infrastructure, Cloud Computing Architecture, Virtual Private Networks (VPN), Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - Deutsch

      Skills you'll gain: Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Private Networks (VPN), Cloud Engineering, Network Engineering, Virtual Machines, General Networking, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Security - 日本語版

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Continuous Monitoring, Network Security, Network Monitoring, Proxy Servers, Intrusion Detection and Prevention, Threat Detection, Firewall, Google Cloud Platform, Infrastructure Security, Network Troubleshooting, Identity and Access Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Application Deployment, Containerization, Nginx, Microservices, Data Storage, YAML, Command-Line Interface, General Networking

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Networking Fundamentals and Protocols

      Skills you'll gain: OSI Models, Networking Hardware, Network Protocols, Network Architecture, Cloud Computing, Wireless Networks, General Networking, TCP/IP, Computer Networking, Local Area Networks, Virtual Private Networks (VPN), Network Routing, Network Switches, Network Security

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      IP Addressing, Routing, and Network Management

      Skills you'll gain: Network Monitoring, Routing Protocols, Network Switches, TCP/IP, Disaster Recovery, Network Routing, Open Shortest Path First (OSPF), Dynamic Host Configuration Protocol (DHCP), Virtual Local Area Network (VLAN), System Monitoring, Network Planning And Design, Network Troubleshooting, Network Infrastructure, Network Administration, Network Architecture, Network Protocols, Border Gateway Protocol, Local Area Networks, Document Management, Software-Defined Networking

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Network Security, Troubleshooting, & Certification Prep

      Skills you'll gain: Network Troubleshooting, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Hardening, Network Administration, Network Monitoring, Intrusion Detection and Prevention, Threat Modeling, Network Protocols, Cybersecurity, Information Systems Security, Firewall, Network Infrastructure, General Networking, Authentications, Identity and Access Management, Local Area Networks, Networking Hardware, Encryption, Virtual Local Area Network (VLAN)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Hybrid and Multicloud - Français

      Skills you'll gain: Virtual Private Networks (VPN), Google Cloud Platform, Multi-Cloud, Hybrid Cloud Computing, Cloud Computing, General Networking, Network Routing, Wide Area Networks, Network Infrastructure, Cloud Security

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Power Electronics, Debugging, Tensorflow, Computer Vision, Display Devices, Control Systems, Computer Displays, Image Analysis, Electronic Systems, PyTorch (Machine Learning Library), Artificial Neural Networks, Systems Design, Applied Machine Learning, Electrical Engineering, USB, Semiconductors, Technical Design, Electrical Systems, Computer Programming Tools, Deep Learning

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

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    In summary, here are 10 of our most popular neural networks courses

    • Cyber Security Projects for Your Dream Job: Packt
    • Networking in Google Cloud: Network Architecture - Français: Google Cloud
    • Gemini for Network Engineers - 繁體中文: Google Cloud
    • Gemini for Network Engineers - Deutsch: Google Cloud
    • Networking in Google Cloud: Network Security - 日本語版: Google Cloud
    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Networking Fundamentals and Protocols: Packt
    • IP Addressing, Routing, and Network Management: Packt
    • Network Security, Troubleshooting, & Certification Prep: Packt
    • Networking in Google Cloud: Hybrid and Multicloud - Français: Google Cloud

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Neural Networks

    Neural networks, also known as neural nets or artificial neural networks (ANN), are machine learning algorithms organized in networks that mimic the functioning of neurons in the human brain. Using this biological neuron model, these systems are capable of unsupervised learning from massive datasets.

    This is an important enabler for artificial intelligence (AI) applications, which are used across a growing range of tasks including image recognition, natural language processing (NLP), and medical diagnosis. The related field of deep learning also relies on neural networks, typically using a convolutional neural network (CNN) architecture that connects multiple layers of neural networks in order to enable more sophisticated applications.

    For example, using deep learning, a facial recognition system can be created without specifying features such as eye and hair color; instead, the program can simply be fed thousands of images of faces and it will learn what to look for to identify different individuals over time, in much the same way that humans learn. Regardless of the end-use application, neural networks are typically created in TensorFlow and/or with Python programming skills.‎

    Neural networks are a fundamental concept to understand for jobs in artificial intelligence (AI) and deep learning. And, as the number of industries seeking to leverage these approaches continues to grow, so do career opportunities for professionals with expertise in neural networks. For instance, these skills could lead to jobs in healthcare creating tools to automate X-ray scans or assist in drug discovery, or a job in the automotive industry developing autonomous vehicles.

    Professionals dedicating their careers to cutting-edge work in neural networks typically pursue a master’s degree or even a doctorate in computer science. This high-level expertise in neural networks and artificial intelligence are in high demand; according to the Bureau of Labor Statistics, computer research scientists earn a median annual salary of $122,840 per year, and these jobs are projected to grow much faster than average over the next decade.‎

    Absolutely - in fact, Coursera is one of the best places to learn about neural networks, online or otherwise. You can take courses and Specializations spanning multiple courses in topics like neural networks, artificial intelligence, and deep learning from pioneers in the field - including deeplearning.ai and Stanford University. Coursera has also partnered with industry leaders such as IBM, Google Cloud, and Amazon Web Services to offer courses that can lead to professional certificates in applied AI and other areas. You can even learn about neural networks with hands-on Guided Projects, a way to learn on Coursera by completing step-by-step tutorials led by experienced instructors.‎

    Before starting to learn neural networks, it's important to have experience creating and using algorithms since neural networks run on complicated algorithms. You should also have fundamental math skills at least, but you'll be at a better advantage if you have knowledge of linear algebra, calculus, statistics, and probability. Being proficient at problem-solving is also important before starting to learn neural networks. An understanding of how the human brain processes information is helpful since artificial neural networks are patterned after how the brain works. You'll also benefit from having experience using any programming language, in particular Java, R, Python, or C++. This includes experience using these languages' libraries, which you'll access to apply the algorithms used in neural networks.‎

    People who are best suited for roles in neural networks are innovative, interested in technology, and have the ability to identify patterns in large amounts of data and draw conclusions from them. People who have a desire to make life and work easier for human beings through artificial technology are well suited for roles in neural networks too. Also, people who have good programming skills and data engineering skills like SQL, data analysis, ETL, and data visualization are likely well suited for roles in neural networks.‎

    If you are interested in the field of artificial intelligence, learning about neural networks is right for you. If your current or future position involves data analysis, pattern recognition, optimization, forecasting, or decision-making, you might also benefit from learning neural networks. Neural networks are also used in image recognition software, speech synthesis, self-driving vehicles, navigation systems, industrial robots, and algorithms for protecting information systems, so if you're interested in these technologies, learning neural networks may be helpful to you.‎

    Online Neural Networks courses offer a convenient and flexible way to enhance your knowledge or learn new Neural Networks skills. Choose from a wide range of Neural Networks courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Neural Networks, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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