Introduction to AI and Machine Learning on Google Cloud - Locales

This course, Introduction to AI and Machine Learning on Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Introduction to AI and Machine Learning on Google Cloud. This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

• Introduction
• Course introduction
• AI Foundations
• Introduction
• Why Google
• Ai/ML framework on Google Cloud
• Google Cloud infrastructure
• Data and AI products
• ML model categories
• BigQuery ML
• Lab introduction
• Predicting Visitor Purchases with BigQuery ML
• Summary
• Quiz
• Reading
• AI Development Options
• Introduction
• AI developement options
• Pre-trained APIs
• Vertex AI
• AutoML
• Custom training
• Lab introduction
• Entity and Sentiment Analysis with the Natural Language API
• Summary
• Quiz
• Reading
• AI Development Workflow
• Introduction
• How a machine learns
• ML workflow
• Data preparation
• Model development
• Model serving
• MLOps and workflow automation
• Lab introduction
• Vertex AI: Predicting Loan Risk with AutoML
• Summary
• Quiz
• Reading
• Generative AI
• Introduction
• Generative AI and LLMs
• Generative AI use case: Duet AI
• Model Garden
• Generative AI Studio
• AI solutions
• Lab introduction
• Get Started with Vertex AI Studio
• Summary
• Quiz
• Reading
• Summary
• Course summary
• Reading