Whether delivered online or on-site, our instructor-led live Google AI Studio training courses provide interactive, hands-on practice to demonstrate how to develop, deploy, and manage machine learning models using Google AI Studio.
Google AI Studio training is offered as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is facilitated through an interactive remote desktop. Onsite live training can be conducted locally at your premises in Lille or at NobleProg corporate training centers in Lille.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This interactive live training in Lille focuses on designing, validating, and releasing optimized AI processes using Google AI Studio. Attendees acquire practical skills in integrating models and APIs, boosting performance, ensuring security compliance, and managing scalable, production-grade solutions.
This instructor-led, live training in Lille (online or onsite) is tailored for intermediate-level IT managers, business application developers, and system integrators who aim to integrate Google AI Studio's capabilities with their business applications.
By the conclusion of this training, participants will be able to:
Comprehend the key features and capabilities of Google AI Studio for business integration.
Explore and link AI Studio with business applications via APIs.
Customize AI models for specific business use cases.
Establish workflows that integrate AI predictions into business processes.
Deploy AI-driven insights and automation within enterprise applications.
Troubleshoot and optimize integrations for scalability and efficiency.
This instructor-led, live training in Lille (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.
By the end of this training, participants will be able to:
Navigate the Google AI Studio interface and understand its key components.
Prepare data for AI projects using Google AI Studio’s integrated tools.
Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
Deploy AI models as scalable, production-ready services.
Integrate Google AI APIs into applications to extend AI capabilities.
Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
Monitor and optimize AI models for performance and reliability.
This instructor-led live training in Lille (online or onsite) targets intermediate-level participants who want to explore workflow automation via Google AI Studio, utilizing its tools to create, optimize, and manage efficient automated processes.
By the end of this training, participants will be able to:
Understand the core features of Google AI Studio for workflow automation.
Set up and integrate Google AI Studio with other tools.
Design and execute AI-driven workflows.
Implement conditional logic for smarter automation.
Monitor and optimize automated workflows for efficiency.
This instructor-led, live training in Lille (online or onsite) is aimed at beginner-level data analysts, business users, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio.
By the end of this training, participants will be able to:
Understand the fundamentals of AI and machine learning concepts.
Navigate and utilize Google AI Studio's interface and tools.
Create AI models using pre-built templates and datasets.
Train and evaluate models with easy-to-follow workflows.
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