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.

Learn the essential skills for data preparation and basic statistical analysis in retail. Understand how to clean and analyze retail data to uncover insights for better business decisions.

Unlock the secrets to predicting house sale prices using machine learning techniques. Learn how to apply regression models and feature engineering to analyze factors influencing property prices and build accurate predictive models.

Learn the fundamentals of reward modeling for generative AI using Hugging Face. Discover how to train models that learn from user feedback to improve AI performance in real-world scenarios.

Rich message Business Chatbots in Angular 8 with Dialogflow

Learn how to build IoT applications by integrating Watson, Swift, and Node-RED. Explore the world of robotics and IoT, and discover how to create smart, connected applications for the future using cutting-edge tools and technologies.

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.