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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

    • A

      Alfaisal University | KLD

      تحقيق السعادة في بيئة العمل | Achieving Happiness at Work

      Skills you'll gain: Employee Engagement, Stress Management, Employee Retention, Mindfulness, Productivity, Emotional Intelligence, Relationship Building, Resilience, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      779 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Leadership and Critical Thinking

      Skills you'll gain: Critical Thinking, Organizational Leadership, Independent Thinking, Positivity, Self-Awareness, Stress Management, Leadership, Resilience, Influencing, Motivational Skills, Decision Making, Personal Development, Leadership Development, Industrial and Organizational Psychology, Strategic Thinking, Leadership and Management, Emotional Intelligence, Optimism, Research, Complex Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      296 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, ChatGPT, Prompt Engineering, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Computing Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Networking in Google Cloud 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Kubernetes, Load Balancing, Infrastructure As A Service (IaaS), Cloud Applications, Identity and Access Management, Cloud Computing, Network Routing, Cloud Storage, Containerization, Network Infrastructure, Application Deployment, TCP/IP, General Networking, Virtual Machines, Network Architecture, Computer Networking, Virtual Private Networks (VPN), Network Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      706 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Cybersécurité Google

      Skills you'll gain: Vulnerability Management, Threat Modeling, Open Web Application Security Project (OWASP), Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Stakeholder Communications, Vulnerability Assessments, Threat Detection, Hardening, Network Security, Security Controls, Threat Management, Security Information and Event Management (SIEM), TCP/IP, Risk Management Framework, Bash (Scripting Language), Linux, Debugging, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      455 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Ciberseguridad

      Skills you'll gain: IT Security Architecture, Computer Security Incident Management, Network Security, Incident Response, Cryptography, Security Requirements Analysis, Penetration Testing, Information Systems Security, Human Factors (Security), Cybersecurity, Threat Detection, Cloud Security, Vulnerability Assessments, Threat Modeling, Encryption, Cyber Security Strategy, Vulnerability Management, Cyber Security Assessment, Risk Management Framework, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      447 reviews

      Beginner · Specialization · 1 - 3 Months

    • S

      Sungkyunkwan University

      Fundamentals of CNNs and RNNs

      Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Model, Network Architecture

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Foundations of Cybersecurity

      Skills you'll gain: Vulnerability Management, Cybersecurity, Cyber Attacks, Cyber Security Policies, Security Management, Vulnerability Assessments, Cyber Security Strategy, Network Security, Threat Management, Threat Detection, Security Controls, Cyber Governance, Firewall, Virtual Private Networks (VPN), Intrusion Detection and Prevention, Continuous Improvement Process

      4.8
      Rating, 4.8 out of 5 stars
      ·
      692 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EDUCBA

      TOGAF 10 Foundation

      Skills you'll gain: Enterprise Architecture, Stakeholder Management, Risk Management, Information Technology Architecture, Solution Architecture, Data Architecture, Governance, Gap Analysis, Business Transformation, Change Management, Business Process Reengineering, Information Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Intelligent Digital Factories

      Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Computer Vision, Image Analysis, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Embedded Systems, Machine Learning, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, System Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      301 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Distributed Denial-Of-Service (DDoS) Attacks, Kubernetes, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Security, Containerization, Data Loss Prevention, Cloud Storage, Network Infrastructure, Security Management, Cloud Computing, Encryption, Application Deployment, Malware Protection, Virtual Private Networks (VPN), Application Security, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      707 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Peking University

      计算机组成 Computer Organization

      Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Hardware, Data Storage, Data Storage Technologies, Systems Architecture, Computational Logic, Peripheral Devices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Mixed · Course · 1 - 3 Months

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

    • تحقيق السعادة في بيئة العمل | Achieving Happiness at Work: Alfaisal University | KLD
    • Leadership and Critical Thinking: Tecnológico de Monterrey
    • Generative AI: Foundation Models and Platforms: IBM
    • Networking in Google Cloud 日本語版: Google Cloud
    • Cybersécurité Google: Google
    • Ciberseguridad: Universidad de los Andes
    • Fundamentals of CNNs and RNNs: Sungkyunkwan University
    • The Foundations of Cybersecurity: Kennesaw State University
    • TOGAF 10 Foundation: EDUCBA
    • Intelligent Digital Factories: L&T EduTech

    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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