Leverage the OpenAI API to get your AI applications ready for production.

Companies everywhere are looking to cloud vendors and platforms to see how AI can help augment business processes or create new innovations. This course shows how to prepare for and shape an AI strategy for your business or organization.

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

It's common to spend a lot of resources on identifying an optimal machine learning model. In this course, you will learn how to simplify this process using various cutting edge features offered by Microsoft Azure Machine Learning service.

In this course, you will learn how to develop orchestrated scripts from scratch, based on an example scenario.

Gain practical experience in creating and deploying your first machine learning workflow from scratch.

Explore applications of differential equations in modeling dynamic systems in various fields, including AI.

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

Gain proficiency in using AI tools for digital art creation, enhancing creativity and workflow.

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.

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