In this course you will gain a foundational knowledge of the Text Analytics API that will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite.

Copilot Course for Beginners

In this session, Katie will explore the potential pitfalls of ML design and how to avoid them, and will showcase the importance of a human-centric approach to building an ethical and long-lasting AI strategy.

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Earn a certification attesting to your basic knowledge of MIT App Inventor. Timed, 90 minute examination only, no course materials are provided.

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Pre-trained models are used everywhere right now to add AI functionalities to products. But have you wondered how they are trained? This course will teach you from start to finish the process of going from an idea and a dataset to a trained model.

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Learn to streamline your machine learning workflows with tidymodels.