AI & Robotic
Showing 241–252 of 752 results
Developing AI Systems with the OpenAI API
Leverage the OpenAI API to get your AI applications ready for production.
Developing LLM Applications with LangChain
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Developing Machine Learning Models for Production
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Developing orchestrated scripts with IBM RPA Studio
In this course, you will learn how to develop orchestrated scripts from scratch, based on an example scenario.
Developing your First ML Workflow
Gain practical experience in creating and deploying your first machine learning workflow from scratch.
Differential Equations in Action
Explore applications of differential equations in modeling dynamic systems in various fields, including AI.
Differentiate for Language and Reading Level With Generative AI Case Study
Use generative AI to create text at various levels of reading and language level. This can help streamline efforts for the creation of educational material
Digital Arts and AI Tools Fluency
Gain proficiency in using AI tools for digital art creation, enhancing creativity and workflow.
Digital assistants in IBM Robotic Process Automation
You learn about digital assistants in IBM Robotic Process Automation (RPA). The digital assistant is a technology that performs tasks or services based on verbal or non-verbal commands.
Digital Assistants in IBM RPA – Chatbots
In this course, you learn about digital assistants in IBM Robotic Process Automation (RPA). The digital assistant is a technology that performs tasks or services based on verbal or non-verbal commands
Dimensionality Reduction in Python
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Dimensionality Reduction in R
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.