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 Tarnów — 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
Tarnów
Hotel Tarnovia, Kościuszki 10, Tarnów, Poland, 33-100
The NobleProg Classroom is located in the Tarnovia hotel at Kościuszki 10 street in Tarnow. & Strbina district where Tarnowia is located & nbsp; the largest & nbsp; district in Tarnów. The train station from the training hall is 500 meters, it is about 6 minutes walk, from the PKS bus station the distance is about 350 meters, a walk through Krakowska Street will take about 4 minutes.
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
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.
AI is transforming FinTech by enabling intelligent automation, hyper-personalization, and secure real-time financial services.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level FinTech professionals who wish to explore the convergence of AI, APIs, and Open Banking innovations to design next-generation financial products.
By the end of this training, participants will be able to:
Understand how AI and machine learning are applied across FinTech use cases.
Leverage Open Banking APIs and data aggregation for product innovation.
Design AI-driven features for digital wallets, neobanks, and financial assistants.
Align innovation with regulatory, ethical, and security considerations.
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.
AI is transforming how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.
By the end of this training, participants will be able to:
Understand AI use cases in fraud detection and AML monitoring.
Design and implement models for anomaly detection and transaction scoring.
Leverage graph-based AI for network risk detection.
Ensure ethical, explainable, and regulatory-compliant model deployment.
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.
AI is transforming WealthTech by enabling highly personalized financial services, intelligent advisory platforms, and enhanced user experiences.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services.
By the end of this training, participants will be able to:
Understand how AI is applied in wealth management and digital advisory platforms.
Design intelligent systems for personalized portfolio recommendations.
Incorporate behavioral finance data and preferences into advisory algorithms.
Evaluate ethical and regulatory concerns in automated investment advice.
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.
AI is transforming how financial institutions assess creditworthiness, price risk, and optimize lending decisions.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.
By the end of this training, participants will be able to:
Understand key AI methods used in credit scoring and risk prediction.
Build and evaluate credit scoring models using machine learning algorithms.
Interpret model outputs for regulatory compliance and transparency.
Apply AI techniques to improve underwriting, loan approval, and portfolio management.
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.
Generative AI is a class of artificial intelligence techniques used to generate new content or predictions from existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level finance professionals who wish to apply generative AI for forecasting, anomaly detection, and compliance in financial services.
By the end of this training, participants will be able to:
Understand the foundational concepts behind generative AI models.
Apply LLMs and GANs to use cases such as fraud detection and synthetic data generation.
Design effective prompts for financial forecasting and reporting support.
Evaluate ethical and regulatory considerations in generative AI applications.
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.
Artificial Intelligence is a powerful set of techniques used to develop intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply AI techniques in trading and asset management, focusing on signal generation, portfolio optimization, and algorithmic strategies.
By the end of this training, participants will be able to:
Understand the role of AI in modern financial markets.
Use Python to build and backtest algorithmic trading strategies.
Apply supervised and unsupervised learning models to financial data.
Optimize portfolios using AI-driven techniques.
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.
Machine Learning is a subset of Artificial Intelligence focused on creating systems that learn from data and make predictions or decisions without being explicitly programmed.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply machine learning and AI techniques to real-world problems such as fraud detection, credit scoring, and risk modeling.
By the end of this training, participants will be able to:
Understand the core machine learning concepts relevant to finance.
Apply supervised and unsupervised learning algorithms to financial datasets.
Build and evaluate predictive models for credit risk, fraud detection, and market analysis.
Use Python and scikit-learn to implement machine learning pipelines.
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.
AI in Financial Services is a strategic enabler for risk reduction, customer experience, and operational efficiency.
This instructor-led, live training (online or onsite) is aimed at financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence who 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
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.
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