AI for Finance Training in Athens

This live, instructor-led course, designated as Athens, addresses AI governance and strategic risk management within the financial services industry. It emphasizes ethical considerations, regulatory structures, and the establishment of effective oversight mechanisms. Learners will gain the skills necessary to align AI strategies with both compliance standards and organizational objectives.

This instructor-led live training in Athens, offered online or onsite, is tailored for intermediate-level financial professionals, risk analysts, and AI engineers seeking to build and deploy AI-driven solutions for financial automation and fraud detection.

Upon completing this training, participants will be able to:

• Comprehend the impact of AI on financial automation and fraud detection.
• Construct AI models capable of identifying fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-driven financial monitoring systems.

Through this instructor-led live session in Athens, finance experts and IT staff will master the local implementation of Ollama. The curriculum covers the deployment, configuration, and integration of large language models into secure financial workflows, emphasizing best practices for regulatory compliance and process automation.

AI for Digital Products in Banking is a 40-hour programme in Athens tailored for intermediate banking professionals. It explores the design of AI-enhanced digital products, agile development practices, and data-informed customer journeys. Learners acquire practical competencies to improve banking services through interactive workshops.

Explore the potential of Copilot for Finance to optimize reporting and enhance productivity. This instructor-led training in Athens provides professionals with hands-on AI skills to automate accounting routines, draft financial reports, and uncover actionable insights, thereby streamlining your daily workflow.

This instructor-led session in Athens enables finance professionals to leverage WrenAI for KPI modelling and the creation of regulatory-compliant dashboards. Participants develop practical competencies in integrating data sources, ensuring audit readiness, and generating risk management reports to support strategic decision-making.

This instructor-led training in Athens empowers professionals to craft LangGraph-based finance solutions. Participants will learn to implement workflows that align with regulatory requirements, integrate data standards, and deploy systems featuring robust governance, observability, and compliance controls.

This instructor-led, live training in Athens (online or onsite) targets intermediate-level finance professionals, data analysts, risk managers, and AI engineers looking to utilize multimodal AI for risk analysis and fraud detection.

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

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

This instructor-led live training in Athens (online or onsite) is designed for finance professionals who want to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.

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

• Understand the basics of ChatGPT and how it works.
• Use ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data with ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models for specific financial use cases.

This instructor-led, live training in Athens (online or onsite) is tailored for intermediate-level finance professionals and fintech developers seeking to employ AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making.

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

• Grasp the core principles of prompt engineering within financial applications.
• Utilize AI models to conduct financial forecasting and analyze market sentiment.
• Automate financial reporting and data extraction through the use of AI prompts.
• Construct AI-driven risk assessment models by refining prompts.
• Uphold compliance and ethical standards when implementing AI in financial contexts.

This 5-day course in Athens empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

Discover the impact of AI in finance through this course held in Athens. Explore Machine Learning applications for risk management, fraud detection, and forecasting. Gain insights into AI's role in banking, regulatory compliance, and generative AI tools. Acquire the skills needed to lead data-driven decision-making and foster innovation.

This intensive five-day training course is structured to provide participants with a thorough understanding of how artificial intelligence (AI) is transforming financial systems. By combining theoretical concepts with practical application, attendees will investigate advanced AI methods specifically designed for the financial industry. Upon completion, participants will possess the skills and insights required to effectively utilize AI technologies in key areas such as financial decision-making, risk management, fraud detection, algorithmic trading, and customer service within financial institutions. The course seeks to empower professionals with the expertise needed to navigate the dynamic landscape of AI-driven finance and maintain a competitive edge in an increasingly challenging sector.

Artificial Intelligence is rapidly becoming the cornerstone of modern product management, transforming how we identify customer needs, define solutions, and make decisions. Much like electricity revolutionized industry, AI is reshaping how products are built, validated, and evolved.

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

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

• Understand 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 Orchestrator stance) and leverage AI to strengthen each, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting to treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining 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, including 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.