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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

    • I

      Intel

      IntelĀ® Network Academy - Network Transformation 101

      Skills you'll gain: Software-Defined Networking, Computer Networking, Network Infrastructure, Infrastructure Architecture, Network Architecture, General Networking, Virtualization, Virtualization and Virtual Machines, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      496 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Deep Teaching Solutions

      Critical Thinking: A Brain-Based Guide for the ChatGPT Era

      Skills you'll gain: Deductive Reasoning, Cognitive flexibility, Logical Reasoning, Critical Thinking, Curiosity, Decision Making, Problem Solving, Analytical Skills, Emotional Intelligence, Creative Thinking, Open Mindset, Complex Problem Solving, Independent Thinking, Strategic Thinking, Lifelong Learning, ChatGPT, Innovation, Systems Thinking, Social Sciences, Behavioral Economics

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      94 reviews

      Beginner Ā· Specialization Ā· 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      AI Materials

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      43 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • L

      LearnQuest

      Getting Started with Azure

      Skills you'll gain: Microsoft Azure, Virtual Machines, Infrastructure As A Service (IaaS), Cloud Infrastructure, Network Security, Virtualization and Virtual Machines, Cloud Computing, Cloud Management, Firewall, Infrastructure Security, Cloud Storage

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      505 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Cloud Security Basics

      Skills you'll gain: Cloud Security, Application Security, Network Security, Cloud Computing, Cybersecurity, Information Systems Security, Security Controls, Infrastructure Security, Remote Access Systems, Public Key Infrastructure, Cryptography, Vulnerability Assessments, Virtualization, Virtual Machines, Encryption, Authorization (Computing)

      4.3
      Rating, 4.3 out of 5 stars
      Ā·
      104 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Design and Analyze Secure Networked Systems

      Skills you'll gain: Public Key Infrastructure, Cybersecurity, Application Security, Data Security, Cyber Attacks, Information Assurance, Network Security, Risk Management Framework, Security Controls, Key Management, Threat Modeling, Authorization (Computing), Encryption, Data Integrity, Authentications, Vulnerability Assessments

      3.9
      Rating, 3.9 out of 5 stars
      Ā·
      228 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • D

      DeepLearning.AI

      KI für alle

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Data Ethics, Data Science, Business Analytics, Artificial Neural Networks, Machine Learning, Cross-Functional Collaboration, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      16 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Cloud Infrastructure: Foundation - EspaƱol

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Cloud Computing, Cloud Computing Architecture, Network Infrastructure, Virtual Machines, Cloud Storage, General Networking, Virtual Private Networks (VPN), Firewall, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      364 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Cybersecurity Concepts and Capstone Project

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Threat Management, Cybersecurity, Cyber Security Strategy, Application Security, Threat Detection, Security Strategy, Microsoft Azure, Cloud Security, Internet Of Things, Secure Coding, Network Security, Security Controls, Vulnerability Assessments, Identity and Access Management

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      74 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Cryptographic Hash and Integrity Protection

      Skills you'll gain: Cryptography, Data Integrity, Encryption, Authentications, Data Security, Public Key Cryptography Standards (PKCS), Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      89 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Juniper Networks

      Introduction to Junos OS

      Skills you'll gain: Juniper Network Technologies, Firewall, Network Routers, Routing Protocols, Network Routing, Network Monitoring, Authentications, System Monitoring, Network Administration, Open Shortest Path First (OSPF), TCP/IP, Command-Line Interface, Network Troubleshooting, Network Security, File Transfer Protocol (FTP), Control Panels, Network Performance Management, User Accounts, System Configuration, Networking Hardware

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      38 reviews

      Beginner Ā· Specialization Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      109 reviews

      Advanced Ā· Course Ā· 1 - 3 Months

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

    • IntelĀ® Network Academy - Network Transformation 101:Ā Intel
    • Critical Thinking: A Brain-Based Guide for the ChatGPT Era:Ā Deep Teaching Solutions
    • AI Materials:Ā Korea Advanced Institute of Science and Technology(KAIST)
    • Getting Started with Azure:Ā LearnQuest
    • Cloud Security Basics:Ā University of Minnesota
    • Design and Analyze Secure Networked Systems:Ā University of Colorado System
    • KI für alle:Ā DeepLearning.AI
    • Essential Cloud Infrastructure: Foundation - EspaƱol:Ā Google Cloud
    • Advanced Cybersecurity Concepts and Capstone Project:Ā Microsoft
    • Cryptographic Hash and Integrity Protection:Ā University of Colorado System

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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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