Delivered through interactive, instructor-led live sessions—either online or onsite—this training program uses hands-on practice to demonstrate how to leverage Google AI Studio for developing, deploying, and managing machine learning models.
Google AI Studio training is offered as "online live training" or "onsite live training." The online format (also known as "remote live training") is conducted via an interactive remote desktop environment. Meanwhile, onsite live training takes place directly on the customer's premises in Gaia or within NobleProg’s corporate training centers in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This live, instructor-led training in Gaia focuses on the design, testing, and deployment of optimized AI workflows using Google AI Studio. Learners will develop practical skills in integrating models and APIs, improving performance, ensuring security compliance, and managing scalable, production-ready solutions.
This live, instructor-led training in Gaia (conducted online or on-site) is tailored for intermediate-level IT managers, business application developers, and system integrators looking to leverage Google AI Studio within their business applications.
By the end of this program, participants will have the competency to:
Comprehend the primary features and integration capabilities of Google AI Studio.
Link AI Studio to business applications via API connections.
Adapt AI models to suit distinct business scenarios.
Build workflows that incorporate AI predictions into operational processes.
Implement AI-driven insights and automation across enterprise platforms.
Optimize and troubleshoot integrations for enhanced scalability and efficiency.
This instructor-led live training in Gaia (online or onsite) is designed for 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 Gaia (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging 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 Gaia (online or onsite) targets beginner-level data analysts, business professionals, and product managers seeking to learn the fundamentals of building and leveraging AI models with minimal coding through Google AI Studio.
Upon completion of this training, participants will be able to:
Grasp the core principles of AI and machine learning.
Navigate and effectively use Google AI Studio's interface and tools.
Develop AI models using pre-built templates and datasets.
Train and evaluate models through straightforward workflows.
Deploy AI models for practical, real-world applications.
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