Course Overview
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AIprojects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
Who should attend
Data scientists, AI developers, ML engineers
Certifications
This course is part of the following Certifications:
Prerequisites
- Basic knowledge of machine learning concepts
- Prior experience with programming languages such as SQL and Python
Course Objectives
- Recognize the data-to-AI technologies and tools provided by Google Cloud.
- Build generative AI projects by using Gemini multimodal, efficient prompts, and AI agent builders.
- Choose between different Google Cloud product options to develop an AI project.
- Create an ML model from end-to-end by using Vertex AI.
Follow On Courses
Course Content
- Introduction
- AI foundations
- Generative AI
- AI development options
- AI development worklow
- Summary
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