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    • Anomaly Detection

    Anomaly Detection Courses Online

    Explore anomaly detection methods for identifying unusual patterns in data. Learn to use machine learning algorithms for fraud detection and network security.

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    Explore the Anomaly Detection Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Databases: An Introduction with Chroma DB

      Skills you'll gain: NoSQL, Databases, Database Architecture and Administration, Database Management, Generative AI, Data Architecture, AI Personalization, Data Storage Technologies, Image Analysis, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Nmap for Penetration Testing: From Beginner to Advanced

      Skills you'll gain: OSI Models, Penetration Testing, TCP/IP, Vulnerability Scanning, Network Protocols, Network Security, Network Administration, Vulnerability Assessments, Firewall, Performance Tuning, Network Analysis, Scripting, System Configuration

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Python for Command-and-control, Exfiltration and Impact

      Skills you'll gain: Threat Modeling, Cyber Operations, Threat Detection, Cybersecurity, Incident Response, Scripting, Command-Line Interface, Python Programming, Encryption, Network Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Energy and Biomedical Applications

      Skills you'll gain: Precision Medicine, Energy and Utilities, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Deep Learning, Applied Machine Learning, Predictive Modeling, Health Informatics, Anomaly Detection, Machine Learning Algorithms, Predictive Analytics, Pharmacology

      4
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      BIM Coordination

      Skills you'll gain: Design Reviews, Autodesk Revit, Building Information Modeling, Visualization (Computer Graphics), Augmented and Virtual Reality (AR/VR), Engineering Analysis, Architectural Engineering, Structural Engineering, Construction Management, Construction, Technical Standard

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Fire Detection & Fire Alarm Systems and Safety Signages

      Skills you'll gain: Fire And Life Safety, Safety Training, Building Codes, Safety and Security, Threat Detection, Continuous Monitoring, Control Systems, Systems Integration, Technical Standard, System Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      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
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      Capstone: Autonomous Runway Detection for IoT

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Internet Of Things, System Requirements, Software Engineering, System Testing, Software Development, Verification And Validation, Integration Testing, Performance Testing, Secure Coding, Cloud-Based Integration, Systems Integration, IT Security Architecture, System Implementation, Requirements Analysis, Innovation, Encryption, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      68 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Technical Deep Dive with Incident Response Tools

      Skills you'll gain: Incident Response, Computer Security Incident Management, Cyber Threat Hunting, Cyber Operations, Intrusion Detection and Prevention, Threat Detection, Cyber Attacks, Cyber Security Assessment, Cybersecurity, Network Security, Network Monitoring, Data Security, Network Analysis, Malware Protection, Vulnerability Assessments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced Threat Hunting and Incident Response

      Skills you'll gain: Incident Response, Cyber Threat Hunting, Computer Security Incident Management, Cyber Threat Intelligence, Threat Detection, Threat Management, Security Management, Cybersecurity, Continuous Monitoring, Security Information and Event Management (SIEM), Scenario Testing, Technical Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      32 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART), Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular anomaly detection courses

    • Vector Databases: An Introduction with Chroma DB: IBM
    • Nmap for Penetration Testing: From Beginner to Advanced: Packt
    • Python for Command-and-control, Exfiltration and Impact: Infosec
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder
    • AI for Energy and Biomedical Applications: University of Michigan
    • BIM Coordination: L&T EduTech
    • Fire Detection & Fire Alarm Systems and Safety Signages: L&T EduTech
    • Introduction to IT Security: Akamai Technologies, Inc.
    • Capstone: Autonomous Runway Detection for IoT: EIT Digital
    • Technical Deep Dive with Incident Response Tools: Infosec

    Frequently Asked Questions about Anomaly Detection

    Anomaly detection is an important process in data mining that pinpoints complex, non-conforming patterns and outliers in a specific dataset. The process can identify events that deviate from the normal behavior expected from that dataset. The process can pick out everything from small software or hardware errors or glitches and hacks to serious machine vulnerabilities and critical zero-day attacks. ‎

    It’s important to learn about anomaly detection if you plan to work in the field of machine learning and artificial intelligence (AI). Anomaly detection is a critical security tool that can identify significant fraud, network intrusions, and other events that can substantially disrupt a business or entire industry’s technological delivery system.‎

    The types of jobs you can get by learning about anomaly detection can be found in all types of fields, including banking, financial services, insurance, retail, manufacturing, IT, government and defense, and health care. You might study anomaly detection to become a data scientist, big data engineer, machine learning developer, or fraud detection analyst within those fields. Studying the subject can open up opportunities for you in many companies that need to have data sources monitored for potential security threats and attacks. If you study anomaly detection, you also may be able to find a career in companies that need forensic accountants and fraud detection engineers to uncover unusual and sometimes suspicious activities.‎

    Online courses can help you learn anomaly detection by giving you a better grasp of the broad subject of machine learning, including deep learning. Learning about anomaly detection online may give you the cutting-edge skills to teach you to build an anomaly detection model using deep learning and advanced technology such as Keras API with Tensorflow 2. You also may be able to learn how to create interactive charts and plots using Plotly Python and Seaborn for data visualization.‎

    Online Anomaly Detection courses offer a convenient and flexible way to enhance your existing knowledge or learn new Anomaly Detection skills. With a wide range of Anomaly Detection classes, you can conveniently learn at your own pace to advance your Anomaly Detection career.‎

    When looking to enhance your workforce's skills in Anomaly Detection, 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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