Delivered either online or on-site, these instructor-led live training courses for Predictive AI provide participants with interactive, hands-on experience in mastering both the foundational principles and advanced concepts of the field.
Training options include 'online live training' (also referred to as 'remote live training') and 'onsite live training'. The remote format utilizes an interactive remote desktop environment, while on-site sessions can be conducted either at the client's local premises in Prague or at NobleProg's 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 instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.
By the end of this training, participants will be able to:
Understand the fundamentals of predictive AI and generative models.
Utilize AI-powered tools for predictive coding, forecasting, and automation.
Implement LLMs (Large Language Models) and transformers for text and code generation.
Apply time-series forecasting and AI-based recommendations.
Develop and fine-tune AI models for real-world applications.
Evaluate ethical considerations and best practices in AI deployment.
This instructor-led, live training in Prague (online or onsite) is designed for beginner-level IT professionals seeking to understand the fundamentals of Predictive AI.
Upon completion of this training, participants will be able to:
Grasp the core principles of Predictive AI and its practical applications.
Gather, clean, and prepare data for predictive analysis.
Explore and visualize data to reveal key insights.
Construct basic statistical models to generate predictions.
Assess the performance of predictive models.
Implement Predictive AI concepts in real-world situations.
This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level DevOps professionals who want to integrate predictive AI into their DevOps practices.
By the end of this training, participants will be able to:
Implement predictive analytics models to forecast and address challenges within the DevOps pipeline.
Utilize AI-driven tools for enhanced monitoring and operations.
Apply machine learning techniques to improve software delivery workflows.
Design AI strategies for proactive issue resolution and optimization.
Navigate the ethical considerations of using AI in DevOps.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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