Florent LEGRAS

Florent LEGRAS

Data & AI CTO

SFEIRParis
9 years as trainer
Google Developer ExpertGoogle Cloud Authorized Trainer

About

Avec plus de 15 ans de métier, Florent pilote la stratégie Data & IA chez SFEIR. Il aide les organisations de tous secteurs à tirer le meilleur parti de leurs données. Sa maîtrise des technologies Google lui vaut d'être reconnu Google Developer Expert et Authorized Trainer depuis plusieurs années.
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"C'est en forgeant que l'on devient forgeron"
Florent LEGRAS

Florent's training impact

"Fort d'une expérience multisectorielle, j'ancre les concepts théoriques dans la réalité opérationnelle via des cas d'usage concrets. Mon approche vise un objectif clair : démontrer comment la technologie doit se mettre au service des enjeux métier."

Expertise

Google CloudData AnalyticsStreaming AnalyticsIAGenerative AI

Certifications

Generative AI Leader
Google Cloud
Professional Data Engineer
Google Cloud

My favorite trainings

View all
Google Cloud

Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration

In this course, you learn about the internals of BigQuery and best practices for designing, optimizing, and administering your data warehouse. Through a combination of lectures, demos, and labs, you learn about BigQuery architecture and how to design optimal storage and schemas for data ingestion and changes. Next, you learn techniques to improve read performance, optimize queries, manage workloads, and use logging and monitoring tools. You also learn about the different pricing models. Finally, you learn various methods to secure data, automate workloads, and build machine learning models with BigQuery ML.

3 d
Intermediate
Google Cloud

Deploy multi-agent systems with Agent Development Kit and Agent Engine

In this course, you'll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You'll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.

1 d
Advanced

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