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IBM Courses

IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.


Popular IBM Courses and Certifications


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    Board Infinity

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Responsible AI, Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Data Analysis with R

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Predictive Modeling, Statistical Modeling, Feature Engineering, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
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    343 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    325 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Statistical Modeling, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    75 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Database Management Systems, Data Modeling, Data Analysis Software, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    182 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Business Transformation, Responsible AI, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Cloud Development, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    49K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
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    585 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Risking, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Environmental Social And Corporate Governance (ESG), Information Privacy, Automation, Workforce Development, Accountability

    4.8
    Rating, 4.8 out of 5 stars
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    295 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Data Science with R - Capstone Project

    Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    103 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    127 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular ibm courses

  • Generative AI: Prompt Engineering Basics: Board Infinity
  • Data Analysis with R: IBM
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Deep Learning with PyTorch: IBM
  • SQL for Data Science with R: IBM
  • IBM & Darden Digital Strategy: IBM
  • Machine Learning with Apache Spark: IBM
  • Introduction to R Programming for Data Science: IBM
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM

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