Is it possible for algorithms to identify market risks before human analysts can? In the domain of AI for Finance, the answer is frequently yes—and they do so without fatigue.
Our instructor-led programs explore in depth how artificial intelligence is revolutionizing the financial sector: identifying fraud in milliseconds, predicting asset performance, streamlining compliance processes, and driving intelligent trading systems. From quantitative teams to risk analysts, participants gain practical experience with the models fundamentally reshaping the financial landscape.
Participate in live online sessions through an interactive remote desktop, or join in-person sessions in Nantes—either at your financial institution or a NobleProg training center. These sessions include labs customized to real-world datasets, regulatory requirements, and fintech platforms.
Whether your focus is retail banking, investment management, or fintech innovation, these courses prepare your team to leverage AI with precision—ensuring operations remain secure, responsible, and competitive.
Also referred to as AI in Finance, Financial AI, or Intelligent Finance Systems, this training track provides professionals with a significant advantage in a market where milliseconds and model performance are critical.
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)
This live, instructor-led session in Nantes delves into AI governance and strategic risk management within financial services. It emphasizes ethical dimensions, regulatory frameworks, and the creation of effective oversight mechanisms. Participants will learn to align AI strategies with both compliance obligations and organizational goals.
This live, instructor-led training in Nantes (online or onsite) is tailored for intermediate-level financial professionals, risk analysts, and AI engineers looking to build and launch AI-driven solutions for financial automation and fraud detection.
By the end of the session, participants will be able to:
Comprehend the impact of AI on financial automation and fraud detection.
Design AI models to identify suspicious transactions.
Utilize machine learning for immediate risk evaluation.
Implement AI-enabled systems for ongoing financial oversight.
This instructor-led live training in Nantes empowers finance professionals and IT staff with the necessary skills to deploy Ollama locally. Learners will discover how to install, configure, and embed large language models into secure financial workflows, while adhering to best practices for regulatory compliance and process automation.
This 40-hour professional development course, titled 'AI for Digital Products in Banking,' is designed for mid-level banking experts in Nantes. The curriculum focuses on AI-integrated digital product design, agile methodologies, and creating data-centric customer experiences. Learners will acquire practical competencies to improve banking offerings through immersive, hands-on workshop environments.
Explore strategies for utilizing Copilot for Finance to optimize reporting and elevate productivity. This instructor-led training in Nantes provides professionals with practical AI skills to automate accounting duties, develop financial reports, and derive actionable insights, thereby streamlining your daily operations.
This live training in Nantes empowers finance professionals to embed AI into financial statement analysis. It covers automating data extraction, applying machine learning for trend detection, and utilising generative AI for narrative reporting and scenario planning, thereby enhancing accuracy and streamlining workflows.
This instructor-led training in Nantes enables finance professionals to utilize WrenAI for KPI modeling and the creation of compliance-aware dashboards. Learners will develop practical skills in integrating data sources, ensuring audit readiness, and generating risk management reports to support informed decision-making.
Explore how AI revolutionizes FinTech via intelligent automation and secure services. This live training in Nantes empowers professionals to harness Open Banking APIs and machine learning to craft next-generation digital wallets and financial assistants while maintaining ethical compliance.
This instructor-led course on Nantes empowers professionals to utilize AI and machine learning for robust fraud detection and AML compliance. Learners will create anomaly detection models, apply graph analytics to assess network risks, and guarantee ethical, regulation-compliant model deployment.
This instructor-led training on Nantes explores how AI is revolutionising WealthTech through intelligent advisory and personalisation. Participants will learn to design recommendation engines, apply NLP, and address ethical considerations in automated investment advice to enhance client interactions.
This instructor-led training in Nantes empowers professionals to architect LangGraph-based financial solutions. Participants will learn to construct workflows that satisfy regulatory requirements, integrate data standards, and deploy systems featuring strong governance, observability, and compliance frameworks.
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.
In Nantes, this live training guides intermediate finance professionals in applying AI to credit risk. You will learn to build robust scoring models, optimize lending processes, and maintain regulatory compliance. This hands-on program covers machine learning, model interpretability, and responsible AI for modern financial operations.
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.
This live, instructor-led program in Nantes empowers finance professionals to leverage generative AI for accurate forecasting, robust fraud detection, and rigorous compliance management. Learners will gain proficiency in deploying LLMs and GANs for synthetic data generation, advanced prompt engineering, and regulatory analysis within practical financial contexts.
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.
This live training on Nantes is designed for intermediate finance professionals seeking to apply AI in trading and asset management. The course covers utilizing Python for backtesting, developing machine learning models for market signals, and applying AI-driven techniques for portfolio optimization in a hands-on laboratory environment.
This live, instructor-led training in Nantes provides intermediate finance professionals with practical machine learning and AI capabilities. Participants will leverage Python to apply supervised and unsupervised algorithms, constructing predictive models for credit scoring, fraud detection, and risk management.
This live, instructor-led training on Nantes delves into the strategic, ethical, and regulatory aspects of AI in the financial sector. Executives and compliance professionals will learn to identify risks, navigate regulatory requirements, and establish responsible AI governance frameworks for their organizations.
Investigate the role of AI in finance through this course located in Nantes. Explore Machine Learning applications for risk control, fraud prevention, and forecasting. Delve into AI within banking, regulatory adherence, and generative AI tools. Acquire the skills to promote data-centric decision-making and innovation.
This intensive five-day training program is designed to provide participants with a thorough understanding of how artificial intelligence (AI) is transforming financial systems. By combining theoretical foundations with practical applications, attendees will explore state-of-the-art AI techniques specifically adapted for the financial industry. Upon completion, participants will possess the skills and insights required to effectively utilize AI technologies across key areas such as financial decision-making, risk management, fraud detection, algorithmic trading, customer service, and other essential functions within financial institutions. The course seeks to empower professionals with the expertise necessary to navigate the dynamic landscape of AI-driven finance and maintain a competitive edge in an increasingly demanding market.
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)
i already have some reports that i know, i will use some of the prompts that looked at today
Kelly Cotham
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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