AI for Finance Training in Prague

This live, instructor-led training in Prague (available online or onsite) targets intermediate-level financial professionals, risk analysts, and AI engineers who want to build and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion of the program, participants will be equipped to:

• Comprehend the impact of AI on financial automation and fraud detection.
• Develop AI models specifically designed to identify fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-powered systems for financial monitoring.

This instructor-led live training in Prague empowers finance practitioners and IT personnel to implement Ollama locally. Learners will acquire the ability to deploy, configure, and integrate large language models into secure financial workflows, while adhering to compliance and automation best practices.

This instructor-led live training in Prague (online or onsite) is aimed at intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to leverage multimodal AI for risk analysis and fraud detection.

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

• Understand how multimodal AI is applied in financial risk management.
• Analyze structured and unstructured financial data for fraud detection.
• Implement AI models to identify anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.

This instructor-led, live training in Prague (online or onsite) is designed for finance professionals aiming to streamline their workflows and enhance their data analysis and reporting capabilities using ChatGPT.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of ChatGPT and its operational principles.
• Leverage ChatGPT to automate financial tasks, such as data entry and report generation.
• Analyze financial data with ChatGPT to extract insights and support informed decision-making.
• Create custom ChatGPT models tailored to specific financial use cases.

This instructor-led, live training in Prague (online or onsite) targets intermediate-level finance professionals and fintech developers who wish to use AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making.

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

• Comprehend the core principles of prompt engineering within financial applications.
• Utilize AI models for financial forecasting and market sentiment analysis.
• Automate financial reporting and data extraction through AI prompts.
• Create AI-driven risk assessment models via optimized prompts.
• Address compliance and ethical considerations when applying AI in finance.

This extensive five-day training course is crafted to provide participants with a profound comprehension of how artificial intelligence (AI) is transforming financial infrastructure. Combining theoretical foundations with hands-on practice, attendees will investigate state-of-the-art AI methodologies tailored for the finance industry. Upon completion, participants will possess the necessary skills and insights to effectively utilize AI technologies across various domains, including financial decision-making, risk management, fraud detection, algorithmic trading, customer service, and other vital functions within financial organizations. The program seeks to empower professionals with the expertise required to navigate the dynamic world of AI-driven finance and maintain a competitive edge in an increasingly demanding market.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, formulate solutions, and make critical decisions. Just as electricity revolutionized industry, Artificial Intelligence is reshaping the lifecycle of products—from their creation and validation to their continuous evolution.

This instructor-led, live training (available online or onsite) targets Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership and reinforce decision-making processes.

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

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and utilize AI to strengthen each role, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators possessing specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while preserving authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.