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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 Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      643 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      Emerging Technologies: From Smartphones to IoT to Big Data

      Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Palo Alto Networks

      Palo Alto Networks Security Operations Fundamentals

      Skills you'll gain: Endpoint Security, Security Information and Event Management (SIEM), Zero Trust Network Access, Cybersecurity, Cyber Threat Intelligence, Threat Modeling, Security Engineering, Continuous Monitoring, IT Security Architecture, Threat Detection, Incident Response, Malware Protection, Automation, Data Lakes

      4.7
      Rating, 4.7 out of 5 stars
      ·
      201 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Mathematical Modeling

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Introduction to Information Technology and AWS Cloud

      Skills you'll gain: Amazon Web Services, Web Applications, Cloud Services, Amazon Elastic Compute Cloud, Information Technology, Cloud Computing, Public Cloud, IT Infrastructure, Computer Systems, Amazon S3, Web Development, General Networking, Web Servers, Operating Systems, Servers, Virtualization, Data Centers, Hypertext Markup Language (HTML), Computer Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      426 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Security Principles in Cloud Computing

      Skills you'll gain: Identity and Access Management, Cloud Security, DevSecOps, Cloud Computing, Google Cloud Platform, Network Security, Cloud Infrastructure, Data Security, Cloud Computing Architecture, IT Automation, General Networking, Computer Networking, Cybersecurity, Infrastructure Security, Security Controls, Infrastructure as Code (IaC)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      234 reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      VMware

      Networking and Security Architecture with VMware NSX

      Skills you'll gain: VMware ESX Servers, Virtualization, Network Architecture, Disaster Recovery, Software-Defined Networking, Network Security, Computer Networking, Virtual Machines, IT Automation, Firewall, Information Technology Operations, Cloud Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      463 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Technical University of Munich (TUM)

      Digitalisation in Aeronautics and Space

      Skills you'll gain: Global Positioning Systems, Human Factors, Manufacturing Processes, Digital Transformation, Aerospace Basic Quality System Standards, Environmental Monitoring, Control Systems, Production Process, Automation, Manufacturing and Production, Structural Analysis, Leadership, Big Data, Human Machine Interfaces, Cybersecurity, Mathematical Modeling, Artificial Intelligence, Engineering Design Process, Threat Detection, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      455 reviews

      Intermediate · Specialization · 3 - 6 Months

    • T

      The University of Chicago

      Software Defined Networking

      Skills you'll gain: Software-Defined Networking, Computer Networking, Virtualization, Network Architecture, General Networking, Network Administration, Network Routing, Network Security, Network Protocols, Hardware Architecture, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      289 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      294 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      207 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • AI Capstone Project with Deep Learning : IBM
    • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
    • Palo Alto Networks Security Operations Fundamentals: Palo Alto Networks
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Machine Learning and NLP Basics: Edureka
    • Introduction to Information Technology and AWS Cloud: Amazon Web Services
    • Introduction to Security Principles in Cloud Computing: Google Cloud
    • Networking and Security Architecture with VMware NSX: VMware
    • Digitalisation in Aeronautics and Space: Technical University of Munich (TUM)
    • Software Defined Networking: The University of Chicago

    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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