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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: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Planning of Hydropower Projects

      Skills you'll gain: Construction, Hydraulics, Civil Engineering, Water Resources, Environmental Engineering, Engineering Management, Electrical Power, Structural Engineering, Geospatial Information and Technology, Engineering Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Emotional Vitality in a Dynamic Workplace

      Skills you'll gain: Recognizing Others, Conflict Management, Emotional Intelligence, Social Skills, Stress Management, Empathy, Self-Awareness, Personal Development, Resilience, Collaboration, Relationship Building, Mindfulness, Leadership, Training Programs, Policy Development, Constructive Feedback, Active Listening

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Improving Network Performance I

      Skills you'll gain: Network Performance Management, Network Monitoring, Performance Tuning, Google Cloud Platform, Performance Testing, Network Analysis, Hardware Architecture, Intranet

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Protecting Sensitive Data in Gen AI Model Responses

      Skills you'll gain: Data Loss Prevention, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Data Security, Scripting Languages

      Intermediate · Project · Less Than 2 Hours

    • U

      Universidad Nacional de Colombia

      Learning from the experiences of caregivers with chronic conditions

      Skills you'll gain: Caregiving, Critical Thinking, Home Health Care, Complex Problem Solving, Care Management, Chronic Diseases, Patient Evaluation, Organizational Skills, Self-Awareness, Emotional Intelligence, Stress Management, Mental Health

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Methodology and Ethics in AI

      Skills you'll gain: Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Probability Distribution, Social Studies

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Comprehensive Cisco Security Techniques and Automation

      Skills you'll gain: Endpoint Security, Multi-Factor Authentication, Patch Management, Network Security, Cybersecurity, Network Monitoring, Data Security, Event Monitoring, Malware Protection, Mobile Security, Authorization (Computing), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Configuring Private Google Access and Cloud NAT

      Skills you'll gain: Virtual Private Networks (VPN), Google Cloud Platform, Firewall, Remote Access Systems, Network Administration, System Configuration, Virtual Machines, Network Infrastructure

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      SCS-C02: AWS Certified Security - Specialty

      Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Amazon Web Services, Incident Response, Cloud Security, Key Management, Amazon CloudWatch, Encryption, Infrastructure Security, Security Assertion Markup Language (SAML), Network Security, Security Management, Application Security, Endpoint Security, Continuous Monitoring, Data Security, Firewall, Distributed Denial-Of-Service (DDoS) Attacks, Amazon Elastic Compute Cloud, Security Information and Event Management (SIEM)

      Beginner · Specialization · 1 - 3 Months

    • C

      Codio

      SQL for Security Specialist

      Skills you'll gain: PostgreSQL, Data Maintenance, Database Administration, Database Architecture and Administration, SQL, Secure Coding, Database Management, Relational Databases, Query Languages, Security Controls, Data Access, Data Security, Role-Based Access Control (RBAC), Threat Detection

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      How to Use a Network Policy on Google Kubernetes Engine

      Skills you'll gain: Kubernetes, Network Security, Role-Based Access Control (RBAC), Infrastructure Security, Firewall, Private Cloud

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Configuring Networks via gcloud

      Skills you'll gain: Virtual Machines, Firewall, Virtualization and Virtual Machines, Cloud Computing, Google Cloud Platform, Network Administration, Command-Line Interface, General Networking, Network Security

      Beginner · Project · Less Than 2 Hours

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

    • Planning of Hydropower Projects: L&T EduTech
    • Emotional Vitality in a Dynamic Workplace : University of Alberta
    • Improving Network Performance I: Google Cloud
    • Protecting Sensitive Data in Gen AI Model Responses: Google Cloud
    • Learning from the experiences of caregivers with chronic conditions: Universidad Nacional de Colombia
    • Practical Methodology and Ethics in AI: Johns Hopkins University
    • Comprehensive Cisco Security Techniques and Automation: Packt
    • Configuring Private Google Access and Cloud NAT: Google Cloud
    • SCS-C02: AWS Certified Security - Specialty: Packt
    • SQL for Security Specialist: Codio

    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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