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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

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Turn Ethical Frameworks into Actionable Steps

    Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Business Ethics, Strategic Thinking, Ethical Standards And Conduct, Regulatory Compliance, Analytical Skills, Responsible AI, Technology Strategies, Compliance Management, Decision Making, Business Analysis, Business Strategy, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    153 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

    Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Deep Learning, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

    Intermediate · Project · Less Than 2 Hours

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Promote the Ethical Use of Data-Driven Technologies

    Skills you'll gain: Data Ethics, Responsible AI, Emerging Technologies, Business Ethics, Big Data, Information Privacy, Personally Identifiable Information, Data Security, Law, Regulation, and Compliance, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.8
    Rating, 3.8 out of 5 stars
    ·
    67 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    126 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: LLM Application, Generative AI, Natural Language Processing, Multimodal Prompts, Application Deployment, Open Source Technology, Applied Machine Learning, Image Analysis, User Interface (UI), Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · 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, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Turn Ethical Frameworks into Actionable Steps: CertNexus
  • Introduction to Convolutions with TensorFlow: Google Cloud
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Promote the Ethical Use of Data-Driven Technologies: CertNexus
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Open Source Models with Hugging Face: DeepLearning.AI
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft

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