• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Neural Networks
    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Earn a university-issued career credential in a flexible, interactive format.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Results for "neural networks"

    • Status: New
      New

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Juniper Networks

      Getting Started with Junos Operating System

      Skills you'll gain: Juniper Network Technologies, Network Monitoring, Command-Line Interface, Network Troubleshooting, Control Panels, System Configuration, Networking Hardware, Systems Architecture, General Networking, Software Architecture, Network Administration, Operating Systems

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • MathWorks

      Deep Learning for Object Detection

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Akamai Technologies, Inc.

      Introduction to IT Security

      Skills you'll gain: Endpoint Security, Incident Response, Network Security, Vulnerability Scanning, Security Management, Penetration Testing, Cybersecurity, Authentications, Vulnerability Assessments, Encryption, Firewall, Identity and Access Management, Hardening, Threat Detection, Disaster Recovery, Public Key Infrastructure, Mobile Security, Risk Management Framework, Wireless Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      Packt

      Change Management

      Skills you'll gain: Change Management, Organizational Change, Business Transformation, Leadership and Management, Continuous Improvement Process, Business Leadership, Process Management, Organizational Leadership, Emotional Intelligence, Leadership, Staff Management, Overcoming Obstacles, Strategic Planning, Employee Engagement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • SkillUp EdTech

      Certified Blockchain Security Professional (CBSP) Exam Prep

      Skills you'll gain: Cryptographic Protocols, Blockchain, Cryptography, Encryption, Business Continuity, Application Security, Disaster Recovery, Data Management, Digital Assets, Security Management, Threat Modeling, Vulnerability Assessments, Cybersecurity, Regulatory Compliance, Enterprise Security, Network Security, Data Security, Information Systems Security, Secure Coding, Key Management

      Beginner · Specialization · 1 - 3 Months

    • Google

      Office of the CISO Institute: Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Business Continuity, Threat Detection, Endpoint Security, Cyber Security Policies, Incident Response, Cyber Governance, Vulnerability Assessments, Network Security, Application Security, Cloud Security, Risk Management, Encryption, Authentications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Application Deployment, Data Analysis, Deep Learning, Artificial Neural Networks, Predictive Modeling, Data Processing, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Instructor Network

      GenAI for Cybersecurity Analysts

      Skills you'll gain: Cyber Threat Intelligence, Cybersecurity, Penetration Testing, Threat Detection, Security Information and Event Management (SIEM), Incident Response, Generative AI, Data Ethics, Security Testing, Vulnerability Assessments, Prompt Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • EIT Digital

      Becoming a Cybersecurity Consultant

      Skills you'll gain: Cybersecurity, Threat Modeling, Cyber Attacks, Cyber Security Strategy, Cyber Threat Intelligence, Cyber Risk, Cyber Security Assessment, Network Security, Risk Management, Security Controls, Data Security, Information Privacy, Vulnerability Assessments, Business Economics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to neural networks

    neural networks and deep learning
    neural networks and random forests
    convolutional neural networks
    convolutional neural networks in tensorflow
    mastering neural networks and model regularization
    introduction to neural networks and pytorch
    improving deep neural networks: hyperparameter tuning, regularization and optimization
    introduction to neural networks
    1…737475…152

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

    • Generative AI: Foundations and Concepts: Northeastern University
    • Getting Started with Junos Operating System: Juniper Networks
    • Deep Learning for Object Detection: MathWorks
    • Introduction to IT Security: Akamai Technologies, Inc.
    • Change Management: Packt
    • Introduction to RNN and DNN: Packt
    • Practical Deep Learning with Python: Edureka
    • Certified Blockchain Security Professional (CBSP) Exam Prep: SkillUp EdTech
    • Office of the CISO Institute: Cybersecurity Essentials: Google
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: 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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok