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    Explore IBM Watson for AI and machine learning applications. Learn to use Watson for natural language processing, data analysis, and more.

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    Explore the Watson Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, ChatGPT, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Artificial Neural Networks, Deep Learning, Data Processing, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      254 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      هيكلة مشاريع التعلم الآلي

      Skills you'll gain: Team Management, Applied Machine Learning, Technical Management, Team Leadership, Project Design, Organizational Leadership, Leadership and Management, Project Portfolio Management, Engineering Management, Strategic Leadership, Machine Learning, IT Management, Technology Strategies, Deep Learning, Performance Improvement

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Neural Networks, Applied Machine Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Visualization (Computer Graphics), Machine Learning Algorithms, Tensorflow, Supervised Learning, Data Processing, Computer Programming, Application Deployment, Verification And Validation, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Feature Engineering, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Science, Artificial Intelligence, Statistical Analysis, Data Transformation, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Data Storytelling, Data Visualization Software, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Dashboard, Probability & Statistics, Data Science, Pandas (Python Package), Jupyter, Data Cleansing, Statistical Inference, Matplotlib, Data Manipulation, Python Programming, Machine Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      125 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      74 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, PySpark, MLOps (Machine Learning Operations), Application Deployment, AI Personalization, IBM Cloud, Docker (Software), Machine Learning, Data Science, Scalability, Python Programming, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Apache Spark

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: SQL, Statistical Hypothesis Testing, Relational Databases, Statistical Analysis, Dashboard, Descriptive Statistics, Jupyter, Data Visualization, Statistical Methods, Web Scraping, Query Languages, Probability Distribution, Probability & Statistics, Statistics, Regression Analysis, Data Analysis Software, Plot (Graphics), Data Visualization Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Data Visualization, Plotly, Data Storytelling, Matplotlib, Interactive Data Visualization, Data Presentation, Seaborn, Dashboard, Tableau Software, Scatter Plots, Heat Maps, Pandas (Python Package), Google Sheets, Histogram, Microsoft Excel, Data Analysis, Python Programming, Cloud Applications, Business Communication

      4.1
      Rating, 4.1 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Unsupervised Learning, Feature Engineering, Generative AI, Supervised Learning, Classification And Regression Tree (CART), Data Presentation, Data Analysis, Data Cleansing, Exploratory Data Analysis, Regression Analysis, Deep Learning, Dimensionality Reduction, Reinforcement Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Science, Machine Learning, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Data Processing, Data Cleansing, Business Process, Data Integration, Design Thinking, Data Collection, Data Science, Data Quality, Data Pipelines, Business Priorities, Jupyter, NumPy, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
    • Introduction to Computer Vision and Image Processing: IBM
    • Exploratory Data Analysis for Machine Learning: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • AI Workflow: Enterprise Model Deployment: IBM
    • Machine Learning with Apache Spark: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Data Visualization with Python: Duke University

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