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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: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      394 reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Workspace Core Services

      Skills you'll gain: Google Workspace, Gmail, Service Management, Scripting, Automation, Document Management, File Management, Collaborative Software, Configuration Management, Data Sharing, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud IAM and Networking for AWS Professionals

      Skills you'll gain: Google Cloud Platform, Amazon Web Services, Virtual Private Networks (VPN), Identity and Access Management, Cloud Infrastructure, Cloud Computing Architecture, General Networking, Network Routing, Firewall, User Accounts, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Negotiation skills: Negotiate and resolve conflict

      Skills you'll gain: Conflict Management, Negotiation, Intercultural Competence, Stakeholder Management, Leadership, Leadership and Management, Organizational Leadership, Emotional Intelligence, Cultural Diversity, Self-Awareness, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      766 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Google サイバーセキュリティ

      Skills you'll gain: Threat Modeling, Security Controls, Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Vulnerability Management, Cybersecurity, Hardening, Network Security, Vulnerability Assessments, Stakeholder Communications, Relational Databases, Security Information and Event Management (SIEM), TCP/IP, Data Security, Cloud Security, Network Architecture, Security Management, Linux, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      239 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of London

      Cyber Security Fundamentals

      Skills you'll gain: Key Management, Security Management, Cryptography, Information Systems Security, Cyber Security Policies, Cybersecurity, Encryption, Cyber Risk, Threat Management, Computer Security, Information Assurance, Data Integrity, Incident Response

      4.7
      Rating, 4.7 out of 5 stars
      ·
      189 reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies

      Skills you'll gain: Cloud Computing Architecture, Wireless Networks, Cloud Computing, Cloud Services, Internet Of Things, Emerging Technologies, Network Architecture, Telecommunications, Amazon Web Services, General Networking, Infrastructure As A Service (IaaS), Software As A Service, Network Protocols, Amazon Elastic Compute Cloud, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • A

      Akamai Technologies, Inc.

      Akamai Customer Consulting and Support

      Skills you'll gain: SQL, Linux, Endpoint Security, Database Management, HTML and CSS, Incident Response, Relational Databases, Network Security, Database Systems, Vulnerability Scanning, Linux Administration, File Systems, Routing Protocols, OSI Models, Responsive Web Design, Hypertext Markup Language (HTML), Application Development, Remote Access Systems, Scripting, MySQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      256 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Estilos de Liderazgo: opciones para avanzar en desafíos complejos

      Skills you'll gain: Community Development, Initiative and Leadership, Ethical Standards And Conduct, Complex Problem Solving, Adaptability, Systems Thinking, Leadership, Business Risk Management, Dealing With Ambiguity, Self-Awareness, Emotional Intelligence, Mindfulness, Experimentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Introduction to Secure Networking

      Skills you'll gain: Network Security, Network Protocols, TCP/IP, Cloud Computing, Firewall, General Networking, Networking Hardware, Network Architecture, OSI Models, Microsoft Azure, Computer Networking, Network Infrastructure, Local Area Networks, Software As A Service, Virtual Machines, Virtualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      216 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      The Teacher and Social and Emotional Learning (SEL)

      Skills you'll gain: Self-Awareness, Personal Development, Program Evaluation, School Psychology, Empowerment, Emotional Intelligence, Mindfulness, Teaching, Social Justice, Social Skills, Adult Education, Behavior Management, Childhood Education and Development, Advocacy, Higher Education, Cultural Responsiveness, Education and Training, Diversity Equity and Inclusion Initiatives, Curriculum Planning, Empathy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      894 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Google Workspace Core Services: Google Cloud
    • Google Cloud IAM and Networking for AWS Professionals: Google Cloud
    • Negotiation skills: Negotiate and resolve conflict: Macquarie University
    • Google サイバーセキュリティ: Google
    • Cyber Security Fundamentals: University of London
    • IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies: Yonsei University
    • Akamai Customer Consulting and Support: Akamai Technologies, Inc.
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Estilos de Liderazgo: opciones para avanzar en desafíos complejos: Universidad de los Andes

    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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