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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

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Chat with Your Data: Generative AI-Powered SQL Data Analysis

      Skills you'll gain: SQL, Generative AI, Data Visualization, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      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

    • D

      DeepLearning.AI

      الشبكات العصبية والتعلم العميق

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Applied Machine Learning, Machine Learning, Network Architecture, Supervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Computer Vision: YOLO Custom Object Detection with Colab GPU

      Skills you'll gain: Image Analysis, Computer Vision, Python Programming, Deep Learning, Real Time Data, Data Processing, Applied Machine Learning, Development Environment, Cloud Storage, Data Collection, Software Installation, System Configuration

      3
      Rating, 3 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 3 - 6 Months

    • A

      Alfaisal University | KLD

      أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals

      Skills you'll gain: Data Entry, Document Management, File Management, Information Management, User Accounts

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

      Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Transformers with Hugging Face

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Applied Machine Learning, Unsupervised Learning

      Intermediate · Course · 1 - 4 Weeks

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    1…567…10

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

    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • النماذج المتعاقبة: DeepLearning.AI
    • Chat with Your Data: Generative AI-Powered SQL Data Analysis: Vanderbilt University
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
    • MLOps Tools: MLflow and Hugging Face: Duke University
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
    • أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals: Alfaisal University | KLD
    • AI Workflow: AI in Production: IBM

    Frequently Asked Questions about Watson

    Watson is a supercomputer that’s designed to replicate a person’s ability to answer questions. It uses artificial intelligence to find solutions. Although developers initially conceived of this question-answering computer system to see if it could correctly solve Jeopardy! questions, they soon realized the supercomputer had applications far beyond the world of game shows. It can even function as its own search engine — but how? It’s programmed with over 6 million logic rules that it utilizes for processing about 200 million pages’ worth of information to find answers when someone poses a question. Watson represents a new frontier in machine learning.‎

    Researching how IBM's Watson works, what roles it can serve and how its related services work in apps provides you with the basics you need to know before you move onto more intricate concepts in artificial intelligence. This supercomputer is a powerful model of the ways artificial intelligence can work for us. With an understanding of Watson in your proverbial toolkit, you’ll be better equipped to pursue a career as a computer scientist or use IBM Watson Analytics to provide new insights into information for industries as varied as retail and healthcare.‎

    Learning Watson can lead to a career working with artificial intelligence, and AI and deep learning can keep you engaged and pursuing revolutionary concepts and outcomes each and every day. A variety of careers provide the introduction to AI that you’re looking for, too. Data analyst careers will have you working with the data and details computers need to process in order to “think” and determine outcomes the way a person would. A job in the field of user experience, which helps refine products so they’re easier for consumers to use, might see you integrating AI features into those products to make them more helpful. Traditionally, AI also involves plenty of software engineering, and this type of career in the computer science field may have you developing the programs that AI tools need to function.‎

    Whether you’re interested in learning specifically about working with Watson or plan to use your new knowledge about the supercomputer as a springboard into a future career working with artificial intelligence, our online courses provide engaging materials and valuable support to help you achieve your goals. An introductory course on Watson can help you get familiar with the basics of how the supercomputer works and how you can apply its artificial intelligence principles to build smart apps. And if you’re already working as a data scientist, taking our online classes can build confidence as you learn to automate deep learning and apply your understanding of machine learning to prototype new AI models. Whether you’re just getting started or are already experienced with AI concepts, online courses help you explore your curiosity and learn marketable skills at your perfect pace.‎

    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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