This course introduces concepts of responsible AI and AI principles.

This course introduces concepts of AI interpretability and transparency.

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Understand how to apply responsible AI principles in real-world applications using Google Cloud services.

This course equips you with tools to develop responsible AI systems that are fair, transparent, accountable, and beneficial to society as a whole.

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Rich message Business Chatbots in Angular 8 with Dialogflow

Implement a cognitive service for performing language detection on an IoT Edge device. Describe the components and steps for implementing a cognitive service on an IoT Edge device.

Use components to easily share and reuse code and use component-based pipelines to create machine learning workflows.

Use the Azure Machine Learning CLI (v2) to train models as jobs. Train a model using a basic Python script, or perform hyperparameter tuning with a sweep job.

Use Azure Data Factory to add data that resides inside or outside the Azure platform into your search indexes.

Learn best practices for ensuring security and privacy in AI applications and data handling.