AI for Credit Risk, Scoring & Lending Optimization Training Course

This instructor-led, live training in France (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Comprehend the role of AI in financial automation and fraud detection.
• Construct AI models capable of detecting fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial Intelligence is a technology that enables the development of digital products with advanced data-driven capabilities and personalized customer experiences.

This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is aimed at intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.

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

• Identify customer needs and define a clear product vision.
• Apply AI technologies to enhance digital banking products.
• Use agile and design thinking methods to create user-centered solutions.
• Measure, iterate, and optimize product performance for sustained value.

Format of the Course also allows for the evaluation of participants.

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop with case studies.

Course Customization Options

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

Artificial intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by leveraging intelligent, real-time analysis of large-scale transaction data.

This instructor-led, live training session, available online or onsite, targets intermediate-level professionals seeking to utilize machine learning and AI tools to automate and strengthen financial crime detection, compliance monitoring, and operational governance.

Upon completing this training, participants will be equipped to:

• Grasp key AI use cases within fraud detection and AML monitoring contexts.
• Design and deploy models for anomaly detection and transaction scoring.
• Apply graph-based AI techniques to detect network risks.
• Ensure that model deployment adheres to ethical standards, provides explainability, and meets regulatory requirements.

Course Format

• Engaging lectures paired with interactive discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

Artificial Intelligence serves as a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency within financial services.

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

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

• Understand 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 also allows for the evaluation of participants.

• 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 revolutionizing the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure real-time financial services.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate-level FinTech professionals eager to explore the synergy between AI, APIs, and Open Banking innovations to create next-generation financial products.

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

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

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

Artificial intelligence is reshaping how financial institutions handle strategy, compliance, customer experience, and risk management.

This instructor-led, live training (online or onsite) targets intermediate-level technology and financial professionals who want to comprehend the influence of AI on ethics, regulation, and strategy within the financial sector.

By the conclusion of this training, participants will be capable of:

• Evaluating the strategic uses of AI in financial services.
• Assessing the regulatory and ethical implications of AI adoption.
• Creating frameworks for responsible AI oversight and governance.
• Aligning AI strategies with organizational compliance requirements and goals.

Course Format

• Interactive lecture and discussion.
• Group exercises and case studies.
• Practical analysis of real-world AI regulatory frameworks.

Course Customization Options

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

Artificial Intelligence offers a robust suite 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 aiming to integrate AI methodologies into trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and algorithmic strategy development.

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

• Comprehend the pivotal role of AI in contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial datasets.
• Optimize investment portfolios using AI-driven approaches.

Course Format

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

Course Customization Options

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

AI is reshaping the WealthTech landscape by facilitating highly tailored financial services, sophisticated advisory platforms, and superior user experiences.

This instructor-led training, available online or onsite, is designed for finance and technology professionals with intermediate expertise who aim to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.

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

• Grasping the application of AI in wealth management and digital advisory platforms.
• Developing intelligent systems for personalized portfolio recommendations.
• Integrating behavioral finance data and client preferences into advisory algorithms.
• Assessing ethical and regulatory challenges associated with 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 customized version of this course, please contact us to make arrangements.

Applied AI introduces 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 also allows for the evaluation of participants.

• 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 France (online or onsite) is designed for finance professionals aiming to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of ChatGPT and its operational mechanisms.
• Leverage ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data using ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models tailored to specific financial use cases.

Copilot for Microsoft 365 serves as an AI-driven assistant that integrates seamlessly with Microsoft Office applications, enabling finance and accounting professionals to boost productivity, streamline reporting processes, and support informed decision-making.

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

By the conclusion of this training, participants will be equipped to:

• Produce financial reports quickly and accurately using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Generate financial summaries and forecasts with the assistance of AI.
• Utilize natural language prompts to extract insights from extensive financial datasets.

Format of the Course also allows for the evaluation of participants.

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

Course Customization Options

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

Generative AI encompasses a range of artificial intelligence technologies designed to create new content or predictions based on existing data. This category includes technologies such as Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This live training, facilitated by an expert instructor and available either online or on-site, is tailored for finance professionals at the beginner to intermediate level. It focuses on leveraging generative AI for forecasting, anomaly detection, and compliance within the financial services sector.

Upon completing this course, participants will be equipped to:

• Grasp the core principles underlying generative AI models.
• Utilize LLMs and GANs for specific applications, including fraud detection and the creation of synthetic data.
• Construct effective prompts to support financial forecasting and reporting tasks.
• Assess the ethical and regulatory implications associated with implementing generative AI solutions.

Course Format

• Interactive lectures combined with group discussions.
• Numerous exercises and practical activities.
• Practical implementation within a live-lab environment.

Customization Options for the Course

• To arrange a customized training session for this course, please reach out to us.

LangGraph serves as a framework designed for constructing stateful, multi-agent Large Language Model (LLM) applications through composable graphs, featuring persistent state and precise execution control.

This instructor-led, live training—available either online or onsite—is tailored for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions that adhere to strict governance, observability, and compliance standards.

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

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Implement reliability, safety, and human-in-the-loop controls essential for critical processes.
• Deploy, monitor, and optimize LangGraph systems to ensure optimal performance, cost-efficiency, and adherence to Service Level Agreements (SLAs).

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange your specific needs.

Machine Learning constitutes a specialized branch of Artificial Intelligence dedicated to developing systems capable of learning from data to generate predictions or make decisions without explicit programming instructions.

This instructor-led live training, available either online or on-site, is designed for intermediate-level finance professionals seeking to apply machine learning and AI methodologies to practical challenges such as fraud detection, credit scoring, and risk modeling.

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

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

Course Format

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

Customization Options

• For those interested in a tailored version of this course, please reach out to us to arrange your customized training.

This instructor-led, live training in France (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.