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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
      Status: Free Trial
      Free Trial
      G

      Google

      Google Prompting Essentials

      Skills you'll gain: Data Visualization, Prompt Engineering, Data Presentation, Data Storytelling, Sampling (Statistics), Presentations, Graphing, Generative AI Agents, ChatGPT, Data Ethics, AI Personalization, Generative AI, Brainstorming, Timelines, Excel Formulas, Data Analysis, Taking Meeting Minutes, Concision, Oral Expression, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      387 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Financial Controllers: Boosting Budget Accuracy

      Skills you'll gain: Financial Forecasting, Dashboard, Budgeting, Financial Management, Predictive Modeling, Forecasting, Power BI, Generative AI, Tableau Software, Business Intelligence, Financial Modeling, Artificial Intelligence, Microsoft Excel, Financial Analysis, Data Visualization Software

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Discover the Art of Prompting

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Technical Writing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Inside Sales: Crafting Effective Outreach

      Skills you'll gain: Inside Sales, Generative AI Agents, AI Personalization, Sales Development, Sales Process, Sales Enablement, Sales Strategy, Prompt Engineering, ChatGPT, Marketing Automation, HubSpot CRM, Personalized Service, Content Performance Analysis, Workflow Management, Customer Engagement, Customer Relationship Management (CRM) Software, Business Process Automation, Campaign Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      236 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Cash Flow Managers: Optimizing Liquidity Planning

      Skills you'll gain: Cash Flow Forecasting, Cash Management, Accounts Payable, Financial Forecasting, Risk Management, Generative AI, Data Ethics, Risk Mitigation, Financial Data, Business Process Automation, Accounts Receivable, Workflow Management, Regulatory Compliance, Compliance Training, International Financial Reporting Standards, Artificial Intelligence, ChatGPT, Automation, Prompt Engineering, Dashboard

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Scrimba

      Vibe Coding with GitHub Copilot

      Skills you'll gain: GitHub, Code Review, AI Personalization, Git (Version Control System), Prompt Engineering, Integrated Development Environments, Computer Programming Tools, Generative AI, Application Development

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Maximize Productivity With AI Tools

      Skills you'll gain: Workflow Management, Generative AI, Process Optimization, Productivity Software, Prompt Engineering, Artificial Intelligence, Operational Efficiency, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Patient Care Coordinators and Case Management

      Skills you'll gain: Generative AI Agents, ChatGPT, Generative AI, Patient Coordination, Practice Management Software, Care Coordination, Case Management, Health Technology, Technology Roadmaps, Health Care Administration, Medical History Documentation, Prompt Engineering, Health Information Management and Medical Records, Change Control, Business Process Automation, Automation, Software As A Service

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Account Managers: Personalizing Client Engagement

      Skills you'll gain: Account Management, Client Services, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Personalized Service, Customer Insights, Prompt Engineering, Communication, ChatGPT, Scalability, HubSpot CRM, Predictive Modeling, Business Process Automation, Business Ethics, Workflow Management, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Design Prompts for Everyday Work Tasks

      Skills you'll gain: Prompt Engineering, Brainstorming, Timelines, Taking Meeting Minutes, Concision, Generative AI, Productivity Software, Business Writing, Artificial Intelligence, Document Management, Project Schedules, Text Mining

      4.9
      Rating, 4.9 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Machine Learning learners also search

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    1…313233…459

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

    • Google Prompting Essentials: Google
    • GenAI for Financial Controllers: Boosting Budget Accuracy: Coursera Instructor Network
    • Discover the Art of Prompting: Google
    • GenAI for Inside Sales: Crafting Effective Outreach: Coursera Instructor Network
    • Stay Ahead of the AI Curve: Google
    • GenAI for Cash Flow Managers: Optimizing Liquidity Planning: Coursera Instructor Network
    • Vibe Coding with GitHub Copilot: Scrimba
    • Maximize Productivity With AI Tools: Google
    • GenAI for Patient Care Coordinators and Case Management: Coursera Instructor Network
    • Gen AI - RAG Application Development using LlamaIndex: Packt

    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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