Is it possible for an algorithm to identify market risks before a human analyst can? In the domain of AI for Finance, the answer is frequently yes — and it operates without rest.
Our instructor-led programs explore the transformative impact of artificial intelligence on the financial sector: identifying fraud in milliseconds, predicting asset performance, streamlining compliance processes, and driving intelligent trading frameworks. Professionals from quantitative teams to risk analysts gain practical experience with the models that are fundamentally reshaping monetary systems.
Participate in live online sessions using an interactive remote desktop, or join onsite workshops in Plovdiv — whether at your organization or a NobleProg training facility — featuring labs designed around real-world data, regulatory requirements, and fintech ecosystems.
Whether your focus is retail banking, investment management, or fintech innovation, these courses empower your team to apply AI with precision — ensuring security, responsibility, and competitive advantage.
Often referred to as AI in Finance, Financial AI, or Intelligent Finance Systems, this training track offers professionals a critical advantage in a market where milliseconds — and model accuracy — are decisive.
NobleProg – Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This live, instructor-led training in Plovdiv addresses AI governance and strategic risk management within financial services. The curriculum emphasizes ethical implications, regulatory frameworks, and the creation of effective oversight mechanisms. Participants will learn to synchronize AI strategies with compliance standards and broader organizational goals.
This instructor-led live training in Plovdiv (online or onsite) targets intermediate-level financial professionals, risk analysts, and AI engineers aiming to build and deploy AI-driven solutions for financial automation and fraud detection.
By the end of this session, participants will be able to:
Grasp the integral role of AI in financial automation and fraud prevention.
Construct AI models for the detection of fraudulent transactions.
Utilize machine learning for immediate risk assessment.
This instructor-led live training in Plovdiv empowers finance practitioners and IT personnel with the expertise to deploy Ollama locally. Learners will acquire the ability to configure and integrate large language models into secure financial workflows, while adhering to compliance and automation best practices.
This 40-hour course, Plovdiv, is tailored for intermediate banking professionals and focuses on AI-integrated digital product design, agile development practices, and data-informed customer experiences. Through practical workshops, learners acquire the essential skills to improve banking products.
Learn how to utilize Copilot for Finance to optimize reporting and increase productivity. This instructor-led session in Plovdiv provides professionals with practical AI skills to automate accounting tasks, construct financial reports, and generate actionable insights, thereby improving efficiency in their daily operations.
This live session on Plovdiv empowers finance professionals to seamlessly integrate AI into financial statement analysis. Participants will master automated data extraction, apply machine learning for precise trend detection, and leverage generative AI to enhance narrative reporting and scenario planning. This approach significantly boosts accuracy and optimizes workflow efficiency.
This instructor-led training in Plovdiv enables finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-aware dashboards. Participants will develop practical skills in integrating data sources, ensuring audit compliance, and building risk management reports to support effective decision-making.
Discover how AI transforms FinTech through intelligent automation and secure services. This live training in Plovdiv helps professionals leverage Open Banking APIs and machine learning to design next-generation digital wallets and financial assistants with ethical compliance.
This live instructor-led training in Plovdiv empowers professionals to apply AI and machine learning in fraud detection and AML contexts. Learners will build anomaly detection models, utilize graph analytics for network risk assessment, and ensure that model deployment meets ethical and regulatory standards.
This instructor-led training in Plovdiv explores how AI is revolutionizing WealthTech through smart advisory and personalization. Learners will build recommendation engines, apply NLP techniques, and critically evaluate ethical considerations in automated investment advice to enhance client interactions.
This instructor-led training in Plovdiv empowers professionals to architect LangGraph-based financial solutions. Participants gain the skills to build regulatory-compliant workflows, integrate data standards, and deploy systems featuring strong governance, observability, and compliance controls.
This guided, live training in Plovdiv (online or on-site) is designed for finance professionals, data analysts, risk managers, and AI engineers at an intermediate level who aim to utilize multimodal AI for risk analysis and fraud detection.
Upon completing this training, participants will be able to:
Comprehend the application of multimodal AI in financial risk management.
Evaluate structured and unstructured financial data to identify fraud.
Deploy AI models to pinpoint anomalies and suspicious behaviors.
Utilize NLP and computer vision techniques for analyzing financial documents.
Implement AI-powered fraud detection models within actual financial systems.
In Plovdiv, this live training empowers intermediate finance professionals to harness AI in credit risk management. You will learn to construct scoring models, optimize lending strategies, and ensure regulatory compliance. This hands-on program explores machine learning, interpretability, and responsible AI for modern financial operations.
This instructor-led, live training in Plovdiv (online or onsite) is designed for finance professionals who aim to streamline their workflows and enhance their data analysis and reporting capabilities using ChatGPT.
By the end of this training, participants will be able to:
Understand the fundamentals of ChatGPT and its functionality.
Utilize 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 Plovdiv provides finance professionals with the essential skills to deploy generative AI for forecasting, fraud detection, and compliance. Learners will gain proficiency in using LLMs and GANs for synthetic data creation, prompt engineering, and regulatory analysis within practical financial contexts.
This instructor-led, live training in Plovdiv (online or onsite) is designed for intermediate-level finance professionals and fintech developers who wish to use 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 fundamentals of prompt engineering within financial applications.
Apply AI models for financial forecasting and market sentiment analysis.
Automate financial reporting and data extraction through AI prompts.
Create AI-driven risk assessment models using optimized prompts.
Maintain compliance and address ethical considerations when employing AI in finance.
This live course in Plovdiv is designed for finance professionals at an intermediate level seeking to apply AI within trading and asset management. It explores using Python for backtesting, constructing machine learning models for market signals, and refining portfolios through AI-driven techniques within a practical, hands-on lab environment.
This instructor-led live training in Plovdiv provides intermediate finance professionals with hands-on machine learning and AI competencies. Learners will leverage supervised and unsupervised algorithms via Python to develop predictive models for credit scoring, fraud prevention, and risk management.
This instructor-led live training in Plovdiv delves into the strategic, ethical, and regulatory aspects of AI within financial services. Executives and compliance officers will gain the skills to identify risks, adhere to regulations, and establish responsible AI governance frameworks for their organizations.
This 5-day course in Plovdiv empowers finance professionals with advanced analytics, AI-assisted Python, and agentic AI capabilities. Participants will learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows for enhanced financial analysis, reporting, and strategic decision support.
Discover the role of AI in finance at this Plovdiv location. Master Machine Learning applications for risk management, fraud detection, and forecasting. Delve into AI's impact on banking, regulatory compliance, and generative AI tools. Acquire the skills necessary to champion data-driven decision-making and innovation.
This intensive five-day workshop is crafted to provide attendees with a profound grasp of how artificial intelligence (AI) is transforming financial infrastructures. By combining theoretical frameworks with hands-on applications, participants will investigate state-of-the-art AI methodologies customized for the financial domain. Upon completion, learners will possess the competencies and insights required to effectively utilize AI solutions in key areas such as financial decision-making, risk management, fraud prevention, algorithmic trading, customer support, and other vital functions within financial organizations. The course is designed to empower professionals with the knowledge needed to master the dynamic field of AI-enhanced finance and maintain a competitive edge in an increasingly demanding market.
Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, design solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of product creation, validation, and evolution.
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 elevate product ownership and enhance decision-making capabilities.
Upon completion of this training, participants will be equipped to:
Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
Implement the seven key Product Owner stances (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
Master effective prompting techniques and view AI tools as intelligent collaborators with distinct capabilities.
Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer engagement.
Craft and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
Utilize Generative AI tools to expedite prototyping and hypothesis testing, including the creation of mock-ups and product concepts.
Inform product decisions by employing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) using AI to dedicate more time to strategic and creative work.
Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
Identify and design valuable AI use cases tailored to the specific product and organizational context.
Explore and experiment with approximately 20 different AI tools and models — ranging 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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