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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

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

      Skills you'll gain: Node.JS, Restful API, Back-End Web Development, MongoDB, NoSQL, Server Side, Authentications, Scalability, Application Deployment, Database Application, Middleware, Web Applications, Authorization (Computing), Databases, Javascript, Application Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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: 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: Free Trial
      Free Trial
      I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Large Language Modeling, LangChain, LLM Application, Generative AI, OpenAI, Web Applications, Application Development, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Front-End Web Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      228 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Prompt Patterns, Large Language Modeling, Software Architecture, LangChain, Responsive Web Design, Restful API, LLM Application, Generative AI, Flask (Web Framework), Cascading Style Sheets (CSS), Software Design, Web Design and Development, Application Deployment, Data Import/Export, Python Programming, Engineering Software, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      75K reviews

      Beginner · Professional Certificate · 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

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Jupyter, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning Algorithms, Machine Learning, Computer Programming, Cloud Development, Visualization (Computer Graphics), Cloud Applications, Data Processing, Application Deployment, Algorithms

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      B

      Board Infinity

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Responsible AI, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      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, Generative AI

      4.4
      Rating, 4.4 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Node.js & MongoDB: Developing Back-end Database Applications: IBM
    • Tools for Data Science: IBM
    • Python Project for Data Science: IBM
    • Introduction to Transformer Models for NLP: Unit 3: Pearson
    • Introduction to Transformer Models for NLP: Unit 1: Pearson
    • Building Generative AI-Powered Applications with Python: IBM
    • IBM AI Developer: IBM
    • Introduction to Transformer Models for NLP: Unit 2: Pearson
    • Introduction to Computer Vision and Image Processing: IBM
    • Generative AI: Prompt Engineering Basics: Board Infinity

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