Duration: 1 day 

This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.

Audience

This class is intended for the following: 

• Professional AI developers

• Data scientists

• ML engineers who want to build predictive and generative AI projects on Google Cloud

Objectives

This course teaches participants the following skills: 

• Recognize the data-to-AI technologies and tools provided by Google Cloud.

• Build generative AI projects by using Gemini multimodal, efficient prompts, and model tuning.

• Explore various options for developing an AI project on Google Cloud.

• Create an ML model from end-to-end by using Vertex AI.

Brief Syllabus

1. AI Foundations

2. AI Development Options

3. AI Development Workflow

4. Generative AI