Google Cloud AI and Machine Learning Services
Description
Comprehensive coverage of Google Cloud's artificial intelligence and machine learning services including pre-trained APIs, AutoML, and custom ML platforms.
Learning Objectives
Learners will understand Google Cloud's AI and ML services including Vertex AI, pre-trained APIs, AutoML, and specialized AI services. They will be able to identify appropriate AI/ML solutions for different business use cases and understand the spectrum from no-code to custom ML solutions.
Topics (7)
Foundational concepts of AI and ML including supervised and unsupervised learning, model training, inference, and business value creation through AI/ML.
Ready-to-use AI APIs for common tasks including image recognition, text analysis, speech processing, and language translation without requiring ML expertise.
Automated machine learning services that enable building custom models for specific use cases without requiring deep ML knowledge or coding expertise.
Industry-specific and specialized AI services for document processing, contact center automation, and domain-specific AI applications.
Machine learning capabilities integrated into BigQuery allowing data analysts to build and deploy ML models using familiar SQL syntax.
Solution architecture patterns for AI/ML systems, service selection criteria, and responsible AI practices including bias mitigation and model explainability.
Comprehensive ML platform providing tools for data preparation, model training, evaluation, deployment, and monitoring in a unified environment.