Introduction to AI and Machine Learning on Google Cloud

• Explores cloud essentials (compute, storage, networks), data analytics pipelines, and building basic models using BigQuery ML (allowing SQL users to train models directly inside data warehouses). • AI Development Options: Compares out-of-the-box pre-trained APIs, low-code/no-code AutoML, and custom training frameworks. • AI Development Workflow & MLOps: Teaches the lifecycle of orchestrating, training, and deploying models reliably using Vertex AI. • Generative AI: Introduces foundation models, Gemini multimodal capabilities, prompt engineering, and building intelligent AI agents via Vertex AI.