Available in online or onsite formats, our instructor-led live Google AI Studio training courses utilize interactive hands-on practice to demonstrate how to develop, deploy, and manage machine learning models.
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 delivered through an interactive remote desktop. Onsite live training can be conducted locally at your premises in Prague or within NobleProg corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live, instructor-led training in Prague focuses on designing, testing, and deploying optimized AI workflows using Google AI Studio. Participants acquire hands-on expertise in integrating models and APIs, improving performance, maintaining security compliance, and managing production-grade, scalable solutions.
This live, instructor-led training in Prague (available online or on-site) is designed for intermediate-level IT managers, business application developers, and system integrators looking to integrate the capabilities of Google AI Studio into their business applications.
Upon completing this training, participants will be able to:
Understand the key features and capabilities of Google AI Studio for business integration.
Explore and connect AI Studio with business applications via APIs.
Customize AI models for specific business use cases.
Set up 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 Prague (online or onsite) targets 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, conducted in Prague (via online or onsite methods), targets intermediate-level participants eager to explore workflow automation through Google AI Studio. The curriculum emphasizes leveraging the platform's tools to build, refine, and manage highly efficient automated processes.
By the end of the course, attendees will be able to:
Comprehend the key features of Google AI Studio utilized for workflow automation.
Establish and integrate Google AI Studio with external tools.
Construct and execute AI-driven workflows.
Deploy conditional logic to enhance automation intelligence.
Oversee and improve the performance of automated workflows.
This instructor-led, live training in Prague (online or onsite) targets 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.
Upon completion 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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