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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

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Detect and Mitigate Ethical Risks

      Skills you'll gain: Data Ethics, Accountability, Risk Management, Operational Risk, Risk Analysis, Business Risk Management, Information Privacy, Risk Mitigation, Safety and Security, Ethical Standards And Conduct, Artificial Intelligence, Stakeholder Engagement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Fine Tune BERT for Text Classification with TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Data Processing, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      207 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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: Feature Engineering and Bias Detection

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization & Storytelling in Python

      Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Transformer Models and BERT Model - 简体中文

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Software Architecture

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Detecting COVID-19 with Chest X-Ray using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Medical Imaging, Computer Vision, X-Ray Computed Tomography

      4.5
      Rating, 4.5 out of 5 stars
      ·
      338 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      الشبكات العصبونية الالتفافية

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Applied Machine Learning, Machine Learning Methods, Algorithms

      Intermediate · Course · 1 - 4 Weeks

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

    • AI Workflow: Enterprise Model Deployment: IBM
    • Detect and Mitigate Ethical Risks: CertNexus
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • أساسيات مايكروسوفت آوتلوك | Microsoft Outlook Fundamentals: Alfaisal University | KLD
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Data Visualization & Storytelling in Python: Coursera Project Network
    • Transformer Models and BERT Model - 简体中文: Google Cloud

    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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