AI Engineering Training in Bratislava

This instructor-led, live training in Bratislava (online or on-site) is designed for intermediate to advanced AI professionals and software developers who aim to create smart applications using AI and ML.

Upon completion of this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyze and visualize data to guide the development of AI/ML models.
• Construct, train, and deploy AI/ML models efficiently.
• Develop smart applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Bratislava (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the complexities of intelligent applications and utilize them to resolve complex, real-world problems.

By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Bratislava (online or onsite) targets beginner to intermediate-level AI engineers and software developers who wish to build a foundational understanding of AI engineering principles and practices.

By the end of this training, participants will be able to:

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

This instructor-led live training in Bratislava (online or onsite) is tailored for beginner-level IT professionals who wish to establish a foundational understanding of intelligent applications and their integration into various industries.

By the end of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This intensive two-day workshop provides a practical foundation for leveraging Generative AI tools with precision, security, and consistency in technical and operational contexts. The curriculum is centered on establishing AI as a dependable daily partner for enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem resolution, and optimizing cross-functional communication. Learners will master established prompting strategies, implement validation methods to minimize inaccuracies and hallucinations, and apply streamlined governance protocols to safeguard sensitive data and intellectual property. Upon completion, participants will possess ready-to-implement templates, optimized workflows, and a sustainable methodology for integrating AI-assisted tasks into their routine operations.

Artificial Intelligence is swiftly emerging as the core of contemporary product management—reshaping how we identify customer needs, define solutions, and make critical decisions. Just as electricity transformed industry, AI is fundamentally altering how products are developed, validated, and evolved.

This live, instructor-led training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to understand how AI can elevate product ownership and enhance decision-making capabilities.

Upon completion of this training, participants will be equipped to:

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to reinforce each role—such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with specialized expertise.
• Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
• Utilize Generative AI tools to speed up prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) via AI, freeing up time for strategic and creative work.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design high-value AI use cases tailored to specific products and organizational contexts.
• Explore and experiment with approximately 20 different AI tools and models—ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.