AI for Finance Training in Belgrade

AI in Financial Services is revolutionizing the way institutions handle risk management, strategic planning, regulatory compliance, and customer engagement.

This instructor-led, live training (available online or on-site) is designed for intermediate-level financial and technology professionals who want to grasp how AI influences strategy, ethics, and regulation within the financial sector.

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

• Comprehend the strategic applications of AI in financial services.
• Assess the ethical and regulatory implications of adopting AI.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance standards.

Format of the Course

• Interactive lectures and discussions.
• Case studies and group activities.
• 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 Belgrade (online or onsite) is aimed at intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

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

Ollama is a lightweight platform designed for running large language models locally.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize AI solutions based on Ollama in financial settings.

By completing this training, participants will acquire the skills necessary to:

• Deploy and configure Ollama for secure use in financial operations.
• Integrate local large language models into analytical and reporting processes.
• Adapt models to finance-specific terminology and tasks.
• Implement best practices for security, privacy, and compliance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises with financial data.
• Live-lab implementation of finance-focused scenarios.

Course Customization Options

• To request a customized training for 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 designed for intermediate-level banking professionals who aim to effectively design, develop, and deliver AI-powered digital products.

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

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

Format of the Course

• 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.

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

This instructor-led, live training (available online or on-site) is tailored for finance and accounting professionals who have limited experience with artificial intelligence and are looking to harness the capabilities of Microsoft Copilot to enhance accuracy, efficiency, and insight in their financial tasks.

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

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

Format of the Course

• Interactive lectures and discussions.
• A wide range of exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training tailored to your specific needs, please contact us to arrange.

Applied AI brings new levels of efficiency and intelligence to the methods finance professionals use for analyzing and reporting on business performance.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who aim to integrate AI tools into their financial statement workflows. The goal is 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 identify trends and anomalies in financial statements.
• Use generative AI to assist with variance commentary, narrative reports, and scenario simulations.
• Interpret AI-generated outputs responsibly within the context of finance reporting and planning.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• 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 equips finance teams with the tools to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced finance professionals who wish to leverage WrenAI to build compliant financial data models and dashboards that support informed decision-making and effective risk management.

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

• Model financial KPIs and metrics using WrenAI.
• Create dashboards that meet regulatory and audit requirements.
• Integrate WrenAI with various finance data sources for real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises with financial data models.
• Hands-on labs focused on dashboard design and compliance reporting.

Course Customization Options

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

AI is revolutionizing FinTech by enabling intelligent automation, hyper-personalization, and secure real-time financial services.

This instructor-led, live training (online or on-site) is designed for beginner to intermediate-level FinTech professionals who want to explore the integration of AI, APIs, and Open Banking innovations to create next-generation financial products.

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

• Understand how AI and machine learning are utilized in various FinTech scenarios.
• Utilize Open Banking APIs and data aggregation for product development.
• Design AI-driven features for digital wallets, neobanks, and financial assistants.
• Align innovation with regulatory, ethical, and security standards.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• 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 revolutionizing the way financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of extensive transaction datasets.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to leverage 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 the use cases of AI in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI for network risk detection.
• Ensure ethical, explainable, and regulatory-compliant deployment of models.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• 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 revolutionizing WealthTech by facilitating highly personalized financial services, intelligent advisory platforms, and improved user experiences.

This instructor-led, live training (online or onsite) is designed for intermediate-level finance and technology professionals who aim 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 utilized in wealth management and digital advisory platforms.
• Design intelligent systems for personalized portfolio recommendations.
• Integrate behavioral finance data and preferences into advisory algorithms.
• Assess ethical and regulatory concerns in automated investment advice.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

LangGraph is a framework designed for creating stateful, multi-actor LLM applications through composable graphs that maintain persistent state and provide control over execution.

This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced professionals who aim to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance.

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

• Create finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Incorporate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to ensure performance, cost efficiency, and SLA compliance.

Format of the Course

• Interactive lectures and discussions.
• Plenty of exercises and practical activities.
• 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 Belgrade (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.

AI is revolutionizing the way financial institutions evaluate creditworthiness, assess risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is designed for intermediate-level finance professionals who aim to leverage 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:

• Grasp key AI methodologies used in credit scoring and risk prediction.
• Develop and assess credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval processes, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• 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 Belgrade (online or onsite) is aimed at finance professionals who wish to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.

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

• Understand the basics of ChatGPT and how it works.
• Use 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.

Generative AI refers to a category of artificial intelligence methods designed to produce new content or predictions based on existing data. This includes techniques like Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This training, led by an instructor, can be conducted online or in person and is tailored for finance professionals at beginner to intermediate levels who are interested in leveraging generative AI for tasks such as forecasting, anomaly detection, and regulatory compliance in the financial sector.

By the end of this training, participants will have achieved the following:

• A solid understanding of the fundamental principles underlying generative AI models.
• The ability to apply LLMs and GANs to practical scenarios, such as detecting fraud and generating synthetic data.
• Skills in crafting effective prompts for financial forecasting and reporting support.
• An understanding of the ethical and regulatory considerations involved in using generative AI.

Format of the Course

• Engaging lectures and interactive discussions.
• Numerous exercises and hands-on practice sessions.
• Practical implementation in a live-lab environment.

Course Customization Options

• For customized training tailored to specific needs, please contact us to arrange the details.

This instructor-led, live training in Belgrade (online or onsite) is aimed at 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.

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

• Understand the fundamentals of prompt engineering in financial applications.
• Leverage AI models for financial forecasting and market sentiment analysis.
• Automate financial reporting and data extraction using AI prompts.
• Develop AI-driven risk assessment models through optimized prompts.
• Ensure compliance and ethical considerations when using AI in finance.

Artificial Intelligence is a powerful set of techniques used to create intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.

This instructor-led, live training (online or on-site) is designed for intermediate-level finance professionals who want to apply AI techniques in trading and asset management. The focus will be 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 contemporary financial markets.
• Use Python to develop and backtest algorithmic trading strategies.
• Apply both supervised and unsupervised learning models to financial data.
• Optimize portfolios using techniques driven by AI.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• 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 branch of Artificial Intelligence that focuses on developing systems capable of learning from data and making predictions or decisions without explicit programming.

This instructor-led, live training (available online or on-site) is designed for intermediate-level finance professionals who want to apply machine learning and AI techniques to real-world challenges such as fraud detection, credit scoring, and risk modeling.

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

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

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

AI in Financial Services is a strategic tool that enhances risk management, improves customer experience, and boosts operational efficiency.

This instructor-led, live training (available online or on-site) is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The goal is to help them understand how to implement AI solutions responsibly and effectively within their organizations.

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

• Comprehend the strategic importance of AI in financial services.
• Identify and manage ethical risks associated with AI models.
• Navigate the regulatory environment for AI in finance.
• Develop responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lectures and discussions.
• Case study analysis and group exercises.
• Application of ethical frameworks to real-world financial scenarios.

Course Customization Options

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

AI is rapidly becoming the foundation of modern product management — transforming how we discover customer needs, define solutions, and make decisions. Just as electricity revolutionized industry, Artificial Intelligence is reshaping how products are built, validated, and evolved.

This instructor-led, live training (online or onsite) is aimed at Product Owners, Scrum Masters, and Agile Coaches who want to understand how AI can enhance product ownership and strengthen decision-making.

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

• Understand the fundamentals of Artificial Intelligence and differentiate between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and use AI to strengthen each stance — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting 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.