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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

    • E

      Eindhoven University of Technology

      Lightcap 1: Fundamentals of light's impact

      Skills you'll gain: Medical Imaging, Neurology, Psychology, Biology, Mental Health, Anatomy, General Science and Research, Research

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Transformer Models and BERT Model - Bahasa Indonesia

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Deep Learning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Cloud Security, Resiliency, and Vulnerability Management

      Skills you'll gain: Endpoint Security, Vulnerability Management, Infrastructure as Code (IaC), Cloud Computing Architecture, Cloud Security, Cyber Threat Intelligence, Vulnerability Assessments, Cloud Computing, Zero Trust Network Access, Cybersecurity, Network Security, Cyber Security Assessment, Threat Detection, Mobile Security, Hardening, Security Controls, Disaster Recovery, Authentications

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Configure and Deploy AWS Client VPN

      Skills you'll gain: Virtual Private Networks (VPN), Amazon Web Services, AWS Identity and Access Management (IAM), Network Security, Remote Access Systems, Amazon Elastic Compute Cloud, Command-Line Interface, Control Panels, End User Training and Support

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Network Security, Automation, and Exam Preparation

      Skills you'll gain: Network Security, Ansible, Infrastructure Security, Network Administration, Chef (Configuration Management Tool), YAML, Wireless Networks, Firewall, Network Monitoring, Identity and Access Management, JSON, Extensible Markup Language (XML), Software-Defined Networking, Authentications, Automation, Scripting, Encryption

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      SAP Landing Zone: Plan and Deploy the SAP Network

      Skills you'll gain: Google Cloud Platform, Firewall, SAP Applications, Cloud Infrastructure, Network Infrastructure, Virtual Private Networks (VPN), Network Planning And Design

      Beginner · Project · Less Than 2 Hours

    • B

      Board Infinity

      MOQ

      Skills you'll gain: .NET Framework, Unit Testing, Testability, Test Tools, Integration Testing, C# (Programming Language), Development Testing, Verification And Validation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Security Administration with CDO

      Skills you'll gain: Event Monitoring, General Networking, Network Architecture, Systems Integration, Incident Response, TCP/IP, Enterprise Architecture, OSI Models, Computer Security Incident Management, Threat Management, Cybersecurity, Security Management, Information Technology, Cloud-Based Integration, Computer Networking, Cyber Security Policies, Firewall, Data Governance, Data Management, Security Strategy

      Beginner · Specialization · 1 - 3 Months

    • I

      Illinois Tech

      Cloud: Infrastructure as a Service - Bachelor's

      Skills you'll gain: Infrastructure As A Service (IaaS), Cloud Infrastructure, Cloud Services, Cloud Computing, Cloud Computing Architecture, Cloud Management, Cloud-Native Computing, Cloud Applications, Disaster Recovery, DevOps, Virtualization, Infrastructure Architecture, Cloud Storage, Cloud Security, CI/CD, Virtualization and Virtual Machines, Business Continuity, Identity and Access Management, Cost Management, Scalability

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

      Skills you'll gain: Application Deployment, Image Analysis, Google Cloud Platform, Computer Vision, Anomaly Detection, Deep Learning, MLOps (Machine Learning Operations), Predictive Analytics

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      GenAI and Model Selection

      Skills you'll gain: Generative AI, Applied Machine Learning, Statistical Modeling, Large Language Modeling, AI Personalization, Machine Learning, Systems Integration, Computational Thinking, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Security Administration with Cisco Defense Orchestrator

      Skills you'll gain: General Networking, Network Architecture, TCP/IP, OSI Models, Threat Management, Cybersecurity, Information Technology, Computer Networking, Network Security, Network Routers, Cyber Attacks, Network Switches, Firewall, Security Strategy

      Beginner · Course · 1 - 4 Weeks

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

    • Lightcap 1: Fundamentals of light's impact: Eindhoven University of Technology
    • Transformer Models and BERT Model - Bahasa Indonesia: Google Cloud
    • Cloud Security, Resiliency, and Vulnerability Management: Packt
    • Configure and Deploy AWS Client VPN: Amazon Web Services
    • Network Security, Automation, and Exam Preparation: Packt
    • SAP Landing Zone: Plan and Deploy the SAP Network: Google Cloud
    • MOQ: Board Infinity
    • Security Administration with CDO: LearnQuest
    • Cloud: Infrastructure as a Service - Bachelor's: Illinois Tech
    • Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution: 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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