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    • Watson

    Watson Courses Online

    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

    • I

      IBM

      Introduction to Computer Vision and Image Processing

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

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

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      283 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Python Programming, Data Structures, Data Science, Data-Driven Decision-Making

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      هيكلة مشاريع التعلم الآلي

      Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Performance Tuning, Test Data

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, Python Programming, Data Structures, Computer Programming Tools, Data Analysis Software, Software Development Tools

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering and Fine-Tuning Transformers

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      V

      Vanderbilt University

      The Future of Education with AI: Exploring Perspectives

      Skills you'll gain: Education and Training, Artificial Intelligence, AI Personalization, Innovation, Emerging Technologies, Digital Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Node.js & MongoDB: Developing Back-end Database Applications

      Skills you'll gain: Node.JS, MongoDB, NoSQL, Restful API, Back-End Web Development, Server Side, Application Deployment, Authentications, Cloud Applications, Database Application, API Design, Application Performance Management, Scalability, Web Applications, Middleware, Databases, Data Validation, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, Software Development Tools, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Tools: MLflow and Hugging Face

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Applications, Development Environment, GitHub, Application Programming Interface (API)

      3.7
      Rating, 3.7 out of 5 stars
      ·
      51 reviews

      Advanced · Course · 1 - 4 Weeks

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    1…456…10

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

    • Introduction to Computer Vision and Image Processing: IBM
    • Machine Learning Introduction for Everyone: IBM
    • Applied Data Science: IBM
    • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
    • Data Science Fundamentals with Python and SQL: IBM
    • Generative AI Engineering and Fine-Tuning Transformers: IBM
    • The Future of Education with AI: Exploring Perspectives: Vanderbilt University
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Node.js & MongoDB: Developing Back-end Database Applications: IBM
    • Perform data science with Azure Databricks: Microsoft

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