Through instructor-led live training—available both online and onsite—we leverage interactive, hands-on sessions to demonstrate how to leverage advanced machine learning algorithms and neural network architectures. This approach equips participants with the skills to develop Artificial General Intelligence (AGI) systems capable of executing diverse tasks with human-like cognitive precision.
These training programs are offered as either "online live training" or "onsite live training." Online live sessions (also referred to as "remote live training") utilize an interactive remote desktop connection. For onsite live training, instruction can take place directly at your customer premises in Prague or within 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 designed for advanced-level cognitive scientists, AI researchers, and developers who wish to deepen their understanding of AGI and cognitive architectures.
By the end of this training, participants will be able to:
Grasp the core principles of cognitive architectures.
Investigate various AGI models and their practical applications.
Analyze cognitive processes and their incorporation into AI systems.
Assess different cognitive architecture frameworks suitable for AGI.
This instructor-led, live training in Prague (online or onsite) targets participants from beginner to intermediate levels who aim to comprehend how AGI alters human-machine interactions and acquire strategies to cultivate effective synergy between staff and AI systems.
Upon completion of this training, participants will be able to:
Grasp the core concepts of AGI and their practical applications in the workplace.
Recognize potential areas for human-machine collaboration.
Handle the challenges and risks linked to AI integration.
Formulate strategies to nurture a collaborative, AI-driven work environment.
Prepare employees for roles and responsibilities enabled by AGI.
This instructor-led, live training in Prague (online or in-person) is designed for advanced-level participants who wish to master the principles and techniques for designing AGI systems, from concept to deployment.
By the end of this training, participants will be able to:
Design robust architectures for AGI systems.
Apply advanced machine learning techniques for general intelligence tasks.
Optimize AGI systems for performance and scalability.
Address ethical and safety considerations in AGI design.
Collaborate effectively in interdisciplinary AGI development teams.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level participants who wish to explore how AGI can revolutionize their industries, understand its risks, and strategize for its integration into their operations.
By the end of this training, participants will be able to:
Identify real-world applications of AGI in various industries.
Evaluate the strategic advantages and challenges of adopting AGI.
Analyze ethical considerations and societal impacts of AGI deployment.
Develop risk mitigation strategies for implementing AGI solutions.
Strategize for AGI integration in business operations.
This instructor-led, live training in Prague (online or onsite) is designed for beginner-level participants who wish to understand the fundamentals of AGI and its implications for society, industries, and the future of technology.
By the end of this training, participants will be able to:
Grasp the key distinctions between AGI and narrow AI.
Identify the foundational principles and objectives of AGI research.
Discuss the societal and ethical implications of AGI development.
Explore the potential applications and challenges associated with AGI systems.
This two-day training in Prague combines AI theory with practical workshops, teaching you to effectively use AI tools in your daily work. You will learn prompt engineering, GDPR safety principles, and the organizational aspects of implementing AI in modern companies.
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Testimonials (2)
The historical knowledge of what when and why happened. The training helped me "connect the dots".
Jadwiga Marciniak - GE Aerospace Poland Sp. z o.o.
Course - Praktyczne wprowadzenie do AI w biznesie
Comparison between GenAI and friendly condition in class
Merlinda - Lembaga Penjamin Simpanan
Course - Artificial General Intelligence (AGI) and ChatGPT
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