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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 for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Responsible AI, AI Product Strategy, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Business Strategy, Scalability, Business Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    577 reviews

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, LLM Application, Prompt Engineering, Deep Learning, Responsible AI, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    258 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Responsible AI, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of North Texas

    Bachelor of Applied Arts and Sciences

    Skills you'll gain: Operations Management, Exploratory Data Analysis, Mediation, Change Management, Business Writing, Compensation and Benefits, Apache Hadoop, Consumer Behaviour, Organizational Change, Stakeholder Management, Event Management, Grammar, Social Media Strategy, Business Ethics, Sales Process, Diversity Awareness, Conflict Management, Research, Nutrition and Diet, Data Mining

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

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

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    115 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Learning to Teach Online

    Skills you'll gain: Teaching, Education Software and Technology, Planning, 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

    Data Visualization with R

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    265 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI for Executives and Business Leaders: IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Generative AI: Prompt Engineering Basics: Board Infinity
  • Bachelor of Applied Arts and Sciences: University of North Texas
  • Introduction to Transformer Models for NLP: Unit 3: Pearson
  • Data Engineering Foundations: IBM
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • IBM Machine Learning: IBM
  • Generative AI Language Modeling with Transformers: IBM

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