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.
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
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
Moyens Pédagogiques :