Course Overview

Train teams to leverage Google Cloud’s AI services for data analysis, NLP, vision, and custom ML models.

Course Methodology

1. Overview of Google Cloud AI services (Vertex AI, AutoML, Vision, NLP)
2. Create and train models using Vertex AI pipelines
3. Deploy models with REST APIs and monitor usage
4. Run a case simulation on real-world enterprise data
5. Explore responsible AI features and governance

Audience

Data engineers, ML developers, and enterprise teams using cloud-based AI infrastructure.

Competencies

1. Model training with Vertex AI
2. Image and text analysis APIs
3. Cloud-based deployment
4. Governance and explainability

Tool Features

1. Vertex AI & AutoML
2. Pre-trained APIs for vision, NLP
3. Integrated model monitoring
4. AI governance and privacy tools