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  • Watson

Results for "watson"


  • C

    Coursera

    Building Smart Business Assistants with IBM Watson

    Skills you'll gain: IBM Cloud, Model Deployment, AI Enablement, Self Service Technologies, Application Deployment, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    471 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    AI CERTs

    AI in Finance Agent

    Skills you'll gain: Responsible AI, Agentic Workflows, Risking, Generative AI Agents, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Power BI, AI Workflows, Accounting and Finance Software, Regulatory Compliance, Automation, Financial Data, Wealth Management, Compliance Management, Generative AI, Financial Forecasting, Data Processing, Finance, Workflow Management, General Finance

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Build and Deploy Chatbots Using IBM Watson Assistant

    Skills you'll gain: IBM Cloud, Development Testing, Natural Language Processing, Software Testing, User Flows, Customer experience improvement, User Accounts, Content Management

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Unit Testing, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Artificial Intelligence, Code Review, Integrated Development Environments, Natural Language Processing, Programming Principles

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • A

    AI CERTs

    AI for Legal Professionals

    Skills you'll gain: Legal Technology, Legal Research, Responsible AI, Legal Risk, Legal Discovery, Electronic Discovery, Data Ethics, Legal Support, Legal Writing, Contract Review, Law, Regulation, and Compliance, Law Practice Management Software, Legal Strategy, Regulation and Legal Compliance, AI Enablement, Information Privacy, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Intellectual Property, Generative AI

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, R (Software), Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Python Programming

    Build toward a degree

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

    Beginner · Specialization · 3 - 6 Months

  • A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Responsible AI, Tensorflow, PyTorch (Machine Learning Library), Anomaly Detection, AI Personalization, Internet Of Things, Telecommunications, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Wireless Networks, Generative AI, Emerging Technologies, Generative AI Agents, Network Performance Management, Digital Communications, Network Architecture, Network Protocols, Computer Networking, Communication, System Design and Implementation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Advanced · Specialization · 1 - 3 Months

  • I

    IBM

    Bases de Inteligencia Artificial para Todos

    Skills you'll gain: Computer Vision, Dashboard, IBM Cloud, Responsible AI, Artificial Intelligence, Data Ethics, Image Analysis, ChatGPT, Cloud Computing, Pandas (Python Package), Business Workflow Analysis, Data Manipulation, No-Code Development, Context Management, Artificial Neural Networks, Cloud Applications, AI Workflows, Cloud Deployment, Application Programming Interface (API), WordPress

    4.7
    Rating, 4.7 out of 5 stars
    ·
    448 reviews

    Beginner · Professional Certificate · 3 - 6 Months

1234…15

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

  • Building Smart Business Assistants with IBM Watson: Coursera
  • AI Foundations for Everyone: IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • AI in Finance Agent: AI CERTs
  • Build and Deploy Chatbots Using IBM Watson Assistant: EDUCBA
  • Developing AI Applications with Python and Flask: IBM
  • IBM AI Developer: IBM
  • AI for Legal Professionals: AI CERTs
  • AI Workflow: Enterprise Model Deployment: IBM
  • Data Science Fundamentals with Python and SQL: 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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