Watson courses can help you learn natural language processing, machine learning algorithms, data analysis, and AI-driven decision-making. You can build skills in creating chatbots, analyzing unstructured data, and developing predictive models. Many courses introduce tools like IBM Watson Studio and Watson Assistant, which allow you to implement AI solutions and automate processes in various applications.

Skills you'll gain: IBM Cloud, Self Service Technologies, Application Deployment, AI Personalization, Customer Inquiries, Customer Engagement, Cloud Computing, Customer Service, Natural Language Processing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Machine Learning, AI Product Strategy, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, 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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Risk Mitigation, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, AI Product Strategy, Generative AI Agents, Artificial Intelligence, Business Priorities, Hybrid Cloud Computing, Business Leadership, Goal Setting, Business Solutions, Cloud Computing Architecture, Strategic Leadership, Compliance Management, Governance
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Sales Territory Management, Sales Pipelines, Cold Calling, Regional Sales, Customer Relationship Management, Sales Presentation, Lead Generation, Sales Presentations, Sales Strategy, B2B Sales, Inside Sales, Consultative Selling, Sales Prospecting, Microsoft Copilot, Customer Relationship Management (CRM) Software, Email Automation, Generative AI, ChatGPT, AI Personalization, Customer Engagement
Intermediate · Specialization · 3 - 6 Months

AI CERTs
Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Internet Of Things, Telecommunications, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, Emerging Technologies, Wireless Networks, Generative AI, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Blockchain, Threat Modeling, Cryptography, Security Testing, Security Engineering, Threat Management, Cybersecurity, Network Security, Data Security, Vulnerability Assessments, Threat Detection, Information Systems Security, Cyber Security Strategy, Key Management, Encryption, Network Protocols, Regulatory Compliance, Scripting, Financial Regulation, Scalability
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Blockchain, Web Development Tools, Software Development Tools, Application Development, Computer Programming Tools, Go (Programming Language), Development Environment, Software Development, Business Logic, Program Development, Digital Assets, Transaction Processing, FinTech, Virtual Machines, Distributed Computing, Cryptography, Emerging Technologies, Encryption, Business Analysis, Market Dynamics
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Blockchain, Threat Modeling, Application Deployment, Scripting, Cryptography, Cryptographic Protocols, Application Security, Scalability, Software Development, Payment Systems, FinTech, Secure Coding, Software Development Tools, Distributed Computing, Computer Programming, Transaction Processing, Emerging Technologies, Business Analysis, Market Dynamics, Finance
Intermediate · Specialization · 1 - 3 Months

AI CERTs
Skills you'll gain: Legal Technology, Responsible AI, Legal Research, Legal Risk, Artificial Intelligence, Intellectual Property, Generative AI, LLM Application, Natural Language Processing, Regulation and Legal Compliance, Compliance Management, Prompt Engineering, Litigation Support, Automation, Contract Review
Intermediate · Course · 3 - 6 Months
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.