Can an algorithm see market risk before a human can? In the world of AI for Finance, it often can — and it never sleeps.
Our instructor-led courses dive deep into how artificial intelligence is transforming finance: detecting fraud in milliseconds, forecasting asset performance, automating compliance, and powering intelligent trading systems. From quant teams to risk analysts, learners get hands-on with the models reshaping money itself.
Join live online training via an interactive remote desktop, or attend onsite sessions in Nantes — at your financial institution or a NobleProg training center — with labs tailored to real-world datasets, regulations, and fintech platforms.
Whether you're working in retail banking, investment management, or fintech innovation, these courses equip your team to use AI with precision — securely, responsibly, and competitively.
Also known as AI in Finance, Financial AI, or Intelligent Finance Systems, this training track gives professionals the edge in a market where milliseconds — and models — matter.
NobleProg – Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
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.
This instructor-led, live training in Nantes (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.
Ollama serves as a lightweight platform designed for running large language models locally.
This instructor-led, live training session (available online or on-site) is tailored for intermediate-level finance practitioners and IT professionals seeking to implement, customize, and operationalize AI solutions based on Ollama within financial settings.
Upon completion of this training, participants will acquire the necessary skills to:
Deploy and configure Ollama for secure integration into financial operations.
Incorporate local LLMs into analytical and reporting workflows.
Adapt models to meet finance-specific terminology and operational tasks.
Apply best practices regarding security, privacy, and compliance.
Course Format
Interactive lectures and discussions.
Practical exercises using financial data.
Live laboratory implementation focused on finance scenarios.
Course Customization Options
To request a customized training version of this course, please contact us to arrange.
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.
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.
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.
WrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
Model financial KPIs and metrics in WrenAI.
Build dashboards aligned with regulatory and audit requirements.
Integrate WrenAI with finance data sources for real-time reporting.
Apply best practices for financial analytics and risk monitoring.
Format of the Course also allows for the evaluation of participants.
Interactive lecture and discussion.
Hands-on exercises with financial data models.
Practical labs on dashboard design and compliance reporting.
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 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.
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.
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.
This instructor-led, live training in Nantes (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.
Artificial Intelligence is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.
This instructor-led live training, available online or onsite, is designed for intermediate-level finance professionals seeking to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.
Upon completion of this training, participants will be able to:
Grasp the core AI methodologies applied in credit scoring and risk prediction.
Develop and assess credit scoring models using machine learning algorithms.
Interpret model outputs to ensure regulatory compliance and transparency.
Utilize AI techniques to refine underwriting, loan approval, and portfolio management processes.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Nantes (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.
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.
This instructor-led, live training in Nantes (online or onsite) is designed for intermediate-level finance professionals and fintech developers who want to use AI-powered prompt engineering techniques to improve financial analysis, risk management, and decision-making.
Upon completing this training, participants will be able to:
Grasp the fundamentals of prompt engineering as it applies to finance.
Utilize AI models for financial forecasting and market sentiment analysis.
Automate financial reporting and data extraction through AI prompts.
Build AI-driven risk assessment models using optimized prompts.
Adhere to compliance and ethical standards when implementing AI in finance.
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.
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.
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 rapidly establishing itself as the cornerstone of contemporary product management, fundamentally transforming how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industry, Artificial Intelligence is reshaping the way 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 seeking to understand how AI can enhance product ownership and strengthen decision-making capabilities.
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 reinforce each stance, such as Visionary, Experimenter, or Customer Representative.
Master effective prompting techniques and 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, 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.
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Testimonials (4)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise
Joanne Wong - IPG HK Limited
Course - Applied AI for Financial Statement Analysis & Reporting
Possible applications /exercises
Estelle De la Fouchardiere - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
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