Artificial Intelligence
Showing 217–228 of 684 results
Developing LLM Applications with LangChain
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
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
Discovering Copilot for Windows 11
Leverage Copilot on Windows 11 for increased efficiency and productivity. Learn to take screenshots, activate system settings, and generate creative text and images.
Discovering Ethical AI
Explore the ethical implications of AI technology and the importance of responsible AI development and usage.
Discovering World Models
Explore the concept of world models in AI and their applications in simulating and understanding environments.
Distributed Machine Learning and Its Implementation with H2O
Build distributed, fast, and scalable models with H2O, an end-to-end ML framework widely used for fraud risk, churn, advertising, and healthcare analytics.