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    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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      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
      ·
      565 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Visualization with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Graphing, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Other Programming Languages, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Digital Forensics

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Detection, Cyber Threat Hunting, Incident Management, Cybersecurity, Security Information and Event Management (SIEM), Security Controls, Document Management, Data Integrity, Technical Communication, Technical Documentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Learning to Teach Online

      Skills you'll gain: Education Software and Technology, End User Training and Support, Technical Communication, Quality Assurance, Innovation, Digital Transformation, Emerging Technologies, Digital Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods

      4.4
      Rating, 4.4 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Language Modeling with Transformers

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Transformer Models and BERT Model

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI, Artificial Neural Networks

      4.1
      Rating, 4.1 out of 5 stars
      ·
      110 reviews

      Advanced · Course · 1 - 4 Weeks

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

    • Applied Data Science: IBM
    • Introduction to R Programming for Data Science: IBM
    • Data Visualization with R: IBM
    • Introduction to Computer Vision and Image Processing: IBM
    • Tools for Data Science: IBM
    • Exploratory Data Analysis for Machine Learning: IBM
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Incident Response and Digital Forensics: IBM
    • Learning to Teach Online: UNSW Sydney (The University of New South Wales)
    • Gen AI Foundational Models for NLP & Language Understanding: 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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