Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Watson Course Catalog
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing
Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Document Management, Natural Language Processing, Unstructured Data, Data Processing, User Interface (UI), Databases, Data Storage Technologies, Data Storage
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Application Development
Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning, Data Cleansing
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Computer Programming Tools, Automation, Data Analysis Software, Python Programming
Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Large Language Modeling, Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Data Processing
In summary, here are 10 of our most popular watson courses
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Project: Generative AI Applications with RAG and LangChain: IBM
- Python Project for Data Science: IBM
- Generative AI: Foundation Models and Platforms: IBM
- Data Engineering Foundations: IBM
- IBM Introduction to Machine Learning: IBM
- Data Science Fundamentals with Python and SQL: IBM
- Gen AI Foundational Models for NLP & Language Understanding: IBM
- Exploratory Data Analysis for Machine Learning: IBM
- Generative AI Language Modeling with Transformers: IBM