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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


  • Status: Free Trial
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    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    352 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    276 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Machine Learning Methods, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    444 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
    Preview
    E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    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
    Free Trial
    U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Social Sciences, Responsible AI, Analytics, Machine Learning, Data Mining, Case Studies, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    674 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Unsupervised Machine Learning: IBM
  • AI Workflow: AI in Production: IBM
  • Deep Learning and Reinforcement Learning: IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • Supervised Machine Learning: Regression: IBM
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Supervised Machine Learning: Classification: IBM
  • Statistics and Clustering in Python: University of London
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA

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