Generative AI in Finance: Forecasting, Fraud & Regulation Training Course

Artificial Intelligence serves as a pivotal technology for crafting digital products equipped with advanced, data-driven capabilities and tailored customer experiences.

Designed for intermediate-level banking professionals aiming to design, develop, and deploy AI-powered digital products with efficacy, this instructor-led live training offers flexible delivery modes (online or onsite). The curriculum integrates asynchronous learning activities with immersive in-person workshops to facilitate a comprehensive understanding.

Upon completing this training, participants will gain the ability to:

• Evaluate customer requirements and articulate a distinct product vision.
• Leverage AI technologies to elevate the functionality of digital banking products.
• Utilize agile methodologies and design thinking to engineer user-centric solutions.
• Measure, refine, and optimize product performance to ensure long-term value creation.

Course Format

• 50% synchronous instruction (delivered virtually or in-person).
• 25% asynchronous learning modules (including video content, reading materials, and discussion forums).
• 25% hands-on in-person workshops featuring real-world case studies.

Customization Options

• For organizations seeking a tailored training experience, please reach out to us to arrange a customized program.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and tackle money laundering by enabling intelligent, real-time analysis of massive transaction datasets.

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals seeking to leverage machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completing this training, participants will be able to:

• Grasp AI applications in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to identify network risks.
• Ensure model deployment is ethical, explainable, and compliant with regulations.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

AI serves as a strategic driver for enhancing risk management, customer experience, and operational efficiency within the financial sector.

This instructor-led live training, available online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The course aims to help participants understand how to responsibly and effectively implement AI solutions within their institutions.

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

• Comprehend the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial intelligence is reshaping the FinTech sector by driving intelligent automation, enabling hyper-personalization, and delivering secure, real-time financial services.

This instructor-led live training, available either online or onsite, targets beginner to intermediate FinTech professionals keen to explore the intersection of AI, APIs, and Open Banking innovations to craft next-generation financial products.

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

• Comprehend the application of AI and machine learning across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Develop AI-powered features for digital wallets, neobanks, and financial assistants.
• Ensure innovation aligns with regulatory, ethical, and security standards.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• For customized training arrangements, please contact us directly.

Artificial Intelligence is revolutionizing how financial institutions approach risk management, strategic planning, regulatory compliance, and the customer experience.

This live, instructor-led training session (available online or at your site) is designed for intermediate-level professionals in finance and technology who aim to grasp the strategic, ethical, and regulatory implications of AI within the financial industry.

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

• Comprehend the strategic applications of AI in the financial sector.
• Assess the ethical and regulatory consequences of implementing AI solutions.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with both organizational objectives and compliance standards.

Course Format

• Interactive lectures and discussions.
• Case studies and collaborative group exercises.
• Practical examination of real-world AI regulatory frameworks.

Customization Options

• To arrange a customized training program for this course, please contact us.

Artificial Intelligence offers a potent array of techniques for developing intelligent trading systems that autonomously analyze market data, generate predictions, and execute strategies.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals seeking to apply AI methodologies in trading and asset management, with a focus on signal generation, portfolio optimization, and algorithmic strategies.

Upon completion of this training, participants will be capable of:

• Grasping the role of AI within modern financial markets.
• Utilizing Python to construct and backtest algorithmic trading strategies.
• Applying supervised and unsupervised learning models to financial data.
• Optimizing portfolios using AI-driven techniques.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange a customized training session for this course, please contact us.

Artificial Intelligence is revolutionizing WealthTech by facilitating highly customized financial services, smart advisory platforms, and superior user experiences.

This instructor-led live training, available either online or onsite, targets intermediate-level finance and technology experts looking to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.

Upon completing this training, participants will be equipped to:

• Grasp how AI is utilized within wealth management and digital advisory platforms.
• Construct intelligent systems for delivering personalized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical considerations and regulatory requirements in automated investment advice.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a tailored training version of this course, please get in touch to arrange it.

Artificial Intelligence brings new levels of efficiency and intelligence to the way finance professionals analyze and report on business performance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to integrate AI tools into their financial statement workflows to enhance accuracy, automate repetitive tasks, and gain forward-looking insights.

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

• Automate data extraction from financial documents using AI tools.
• Apply machine learning models to analyze trends and anomalies in financial statements.
• Use generative AI to assist in variance commentary, narrative reports, and scenario simulation.
• Interpret AI-generated outputs responsibly in the context of finance reporting and planning.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in Greece (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.

Copilot for Microsoft 365 serves as an AI-driven assistant integrated into Microsoft Office applications, designed to help finance and accounting professionals boost productivity, streamline reporting, and support decision-making.

This instructor-led, live training (available online or onsite) targets finance and accounting professionals with limited AI experience who wish to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in financial tasks.

Upon completing this training, participants will be able to:

• Create financial reports quickly and accurately using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Generate financial summaries and forecasts with AI assistance.
• Use natural language prompts to extract insights from large financial datasets.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

LangGraph serves as a framework for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise execution control.

This instructor-led training, available either online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance standards.

Upon completion of this training, participants will be capable of:

• Designing finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Implementing reliability, safety measures, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems for performance, cost efficiency, and service level agreements (SLAs).

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored version of this course, please contact us to make arrangements.

Machine Learning represents a subset of Artificial Intelligence dedicated to developing systems that learn from data to generate predictions or make decisions without explicit programming.

This instructor-led training, available online or onsite, targets intermediate-level finance professionals seeking to apply ML and AI techniques to practical challenges such as fraud detection, credit scoring, and risk modeling.

Upon completion, participants will be equipped to:

• Grasp fundamental machine learning concepts pertinent to the finance sector.
• Implement supervised and unsupervised learning algorithms on financial data.
• Construct and assess predictive models for credit risk, fraud detection, and market analysis.
• Utilize Python and scikit-learn to build machine learning pipelines.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For tailored training arrangements, please get in touch with us.

This instructor-led, live training in Greece (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.