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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Generative AI & Governmental Financial Reporting

      Skills you'll gain: Prompt Engineering, Scalability, Large Language Modeling, Governmental Accounting, Unstructured Data, Financial Data, Generative AI, Accounting, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Robotic Process Automation, Data Processing, Automation, Application Programming Interface (API), Decision Making, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Generative AI Applications

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Data Governance, Large Language Modeling, API Design, Cost Management, Information Privacy, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Acelere a troca de conhecimento com o Agentspace

      Skills you'll gain: Google Workspace, OAuth, Data Access, Productivity Software, Enterprise Application Management, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), AWS Identity and Access Management (IAM), Information Architecture, Performance Metric, Generative AI, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep AZ-400: Microsoft DevOps Engineer Expert

      Skills you'll gain: CI/CD, Authorization (Computing), Package and Software Management, Infrastructure as Code (IaC), Azure DevOps, Continuous Delivery, Authentications, Application Deployment, Continuous Integration, DevSecOps, DevOps, Security Controls, Continuous Deployment, Git (Version Control System), Performance Tuning, Agile Methodology, Identity and Access Management, Version Control, Microsoft Azure, Collaborative Software

      Advanced · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Generative AI and its Impact on Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Generative AI, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Computer Security, Cyber Attacks, Threat Detection, Artificial Intelligence, Anomaly Detection, Data Ethics, Information Privacy, Innovation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Accelerate Terraform Development with GitHub Copilot and AI

      Skills you'll gain: Infrastructure as Code (IaC), Terraform, Development Environment, DevOps, Software Development Tools, GitHub, Program Development, Integrated Development Environments, Microsoft Visual Studio, Generative AI, Software Documentation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      CompTIA A+ Core 1 (220-1101)

      Skills you'll gain: Cloud Computing, Network Troubleshooting, Computer Hardware, Hardware Troubleshooting, Cloud Services, Virtualization, Networking Hardware, Desktop Support, TCP/IP, Network Protocols, Technical Support and Services, Help Desk Support, Mobile Security, Dynamic Host Configuration Protocol (DHCP), Peripheral Devices, System Configuration, Wireless Networks

      Beginner · Course · 1 - 3 Months

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

      Packt

      Modern JavaScript Tooling, Modules, and Backend Integration

      Skills you'll gain: Jest (JavaScript Testing Framework), Node.JS, Full-Stack Web Development, Webpack, Application Deployment, Web Development Tools, Unit Testing, Back-End Web Development, Restful API, Application Development, Web Development, MongoDB, Javascript, Front-End Web Development, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Fundamentals of Test Case Design

      Skills you'll gain: Software Testing, Test Planning, Test Case, Software Quality Assurance, Software Technical Review, Quality Assurance, Verification And Validation, Software Documentation, Requirements Analysis, Technical Communication

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Facebook, Marketing Analytics, Social Media Content, Social Media Marketing, Content Strategy, Online Advertising, Performance Metric, Business Metrics, Scalability, Revenue Management, Data-Driven Decision-Making

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Starweaver

      Luxury Hospitality & Brand Innovation

      Skills you'll gain:

      4.4
      Rating, 4.4 out of 5 stars
      ·
      166 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      U

      Universidad Nacional de Colombia

      Programación con Python, nivel básico

      Skills you'll gain: Programming Principles, Debugging, Computational Thinking, Computer Programming, Algorithms, Program Development, Computational Logic, Python Programming, Integrated Development Environments, Development Environment, Software Testing

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular applied machine learning courses

    • Generative AI & Governmental Financial Reporting: Rutgers the State University of New Jersey
    • AWS Generative AI Applications: Amazon Web Services
    • Acelere a troca de conhecimento com o Agentspace: Google Cloud
    • Exam Prep AZ-400: Microsoft DevOps Engineer Expert: Whizlabs
    • Generative AI and its Impact on Cybersecurity: Packt
    • Accelerate Terraform Development with GitHub Copilot and AI: Packt
    • CompTIA A+ Core 1 (220-1101): Packt
    • Modern JavaScript Tooling, Modules, and Backend Integration: Packt
    • Fundamentals of Test Case Design: Board Infinity
    • Facebook Optimization: Grow Your Presence: Coursera

    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 Applied Machine Learning

    It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

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

    When looking to enhance your workforce's skills in Applied Machine Learning, 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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