Rzeszów

RISE, Plac Wolności 13, Rzeszów, Poland, 35-073

The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.

Głogów Małopolski

NobleProg , Strefowa 1, Głogów Małopolski, Poland, 36-060

The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.

Explore Our Courses

AGI: A Deep Dive into Cognitive Architectures

 14 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at advanced-level cognitive scientists, AI researchers, and developers who are interested in deepening their knowledge of AGI and cognitive architectures. By the end of this training, participants will be able to:
  • Understand the fundamental principles of cognitive architectures.
  • Explore various AGI models and their applications.
  • Analyze cognitive processes and their integration in AI systems.
  • Evaluate different cognitive architecture frameworks for AGI.
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Human-Machine Collaboration in the Age of AGI

 14 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to understand how AGI transforms human-machine interactions and learn strategies to foster effective collaboration between employees and AI systems. By the end of this training, participants will be able to:
  • Understand the fundamentals of AGI and its workplace applications.
  • Identify opportunities for human-machine collaboration.
  • Address challenges and risks associated with AI integration.
  • Develop strategies for fostering a collaborative AI-driven workplace.
  • Prepare the workforce for AGI-enabled roles and responsibilities.
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AGI System Design and Development

 21 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at 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.
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AGI for Real-World Applications: Opportunities and Risks

 14 Hours
This instructor-led, live training in podkarpackie (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.
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Introduction to Artificial General Intelligence (AGI)

 7 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at beginner-level participants who wish to understand the basics of AGI and its implications for society, industries, and the future of technology. By the end of this training, participants will be able to:
  • Understand the key differences between AGI and narrow AI.
  • Identify the core principles and goals of AGI research.
  • Discuss the societal and ethical implications of AGI development.
  • Explore the potential applications and challenges of AGI systems.
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