AI for Finance Training in Belgrade

Artificial Intelligence is reshaping how financial institutions handle risk, strategy, regulatory compliance, and customer experience.

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

Upon completing this training, participants will be able to:

• Identify strategic applications of AI within financial services.
• Assess the ethical and regulatory implications associated with AI adoption.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance standards.

Course Format

• Interactive lectures and discussions.
• Case studies and collaborative group exercises.
• Practical analysis of real-world AI regulatory frameworks.

Customization Options

• For customized training requests, please contact us to arrange your session.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and implement AI-driven solutions for financial automation and fraud detection.

Upon completion of this training, participants will be able to:

• Grasp the role of AI in automating financial processes and detecting fraud.
• Construct AI models specifically for identifying fraudulent transactions.
• Apply machine learning techniques for real-time risk evaluation.
• Deploy AI-powered systems for continuous financial monitoring.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance practitioners and IT personnel who wish to implement, customize, and operationalize Ollama-based AI solutions in financial environments.

By completing this training, participants will gain the skills needed to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on financial data exercises.
• 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 serves as a transformative technology that facilitates the creation of digital products equipped with sophisticated data-driven functionalities and tailored customer experiences.

This instructor-led live training, offered either online or onsite, integrates asynchronous learning activities with in-person workshops. It is specifically designed for banking professionals at an intermediate level who aspire to effectively design, develop, and implement AI-powered digital products.

Upon completion of this training, participants will be equipped to:

• Detect customer needs and establish a clear product vision.
• Leverage AI technologies to elevate digital banking offerings.
• Utilize agile methodologies and design thinking to develop user-centric solutions.
• Evaluate, iterate, and optimize product performance to ensure sustained value delivery.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop featuring 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-driven assistant that integrates seamlessly with Microsoft Office applications to help finance and accounting professionals boost productivity, streamline reporting, and support 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 improve accuracy, efficiency, and insight in financial tasks.

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

• Create financial reports quickly and accurately using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Generate financial summaries and forecasts with AI assistance.
• Use natural language prompts to extract insights from large financial datasets.

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.

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.

WrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and create dashboards that align with regulatory requirements and audit standards.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced finance professionals seeking to utilize WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.

Upon completion of this training, participants will be able to:

• Model financial KPIs and metrics in WrenAI.
• Construct dashboards that comply with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Apply best practices for financial analytics and risk monitoring.

Course Format

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

Course Customization Options

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

Artificial Intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure, real-time financial services.

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

Upon completion of this training, participants will be equipped to:

• Grasp 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 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

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

Artificial Intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by utilizing intelligent, real-time analysis of massive transaction datasets.

This instructor-led training, available either online or on-site, is designed for intermediate-level professionals aiming to utilize machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.

Upon completing this training, participants will be capable of:

• Grasping AI applications in fraud detection and AML monitoring.
• Developing and implementing models for transaction scoring and anomaly detection.
• Applying graph-based AI to identify network risks.
• Ensuring that model deployment is ethical, explainable, and compliant with regulations.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Practical implementation within a live-lab environment.

Customization Options for the Course

• For customized training requests regarding this course, please contact us to arrange details.

Artificial intelligence is reshaping the WealthTech sector by facilitating highly customized financial services, intelligent advisory platforms, and improved customer experiences.

This instructor-led live training (available online or on-site) targets intermediate-level finance and technology professionals interested in designing, evaluating, or implementing AI-driven solutions for personalized wealth management and robo-advisory services.

Upon completion of this training, participants will be able to:

• Comprehend the application of AI in wealth management and digital advisory platforms.
• Design intelligent systems that deliver personalized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical and regulatory challenges associated with automated investment advice.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For customized training requests, please contact us to arrange.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, featuring persistent state and execution control.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance measures.

Upon completion of this training, participants will be capable of:

• Creating finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Establishing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance, cost, and SLA targets.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to arrange details.

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.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led live training, available both online and onsite, is designed for finance professionals with intermediate expertise who want to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

Upon completing this training, participants will be able to:

• Grasp the core AI methodologies applied in credit scoring and risk prediction.
• Construct and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval processes, and portfolio management.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical practice 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 Belgrade (online or onsite) is designed for finance professionals who aim to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.

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

• Understand the fundamentals 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 encompasses a category of artificial intelligence technologies designed to create new content or predictions based on existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (available online or onsite) is designed for finance professionals at a beginner to intermediate level who want to leverage generative AI for forecasting, anomaly detection, and compliance within financial services.

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

• Grasp the core concepts underlying generative AI models.
• Implement LLMs and GANs in practical scenarios such as fraud detection and synthetic data creation.
• Craft effective prompts to support financial forecasting and reporting.
• Assess the ethical and regulatory implications of using generative AI.

Course Format

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

Course Customization Options

• To request a customized version of this course, please contact us to arrange.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level finance professionals and fintech developers who wish to apply 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 offers a robust toolkit for building intelligent trading systems capable of analyzing market data, forecasting trends, and executing strategies autonomously.

This instructor-led training, available online or onsite, is designed for intermediate-level finance professionals seeking to integrate AI techniques into trading and asset management, with a focus on signal generation, portfolio optimization, and algorithmic strategies.

Upon completing this training, participants will be equipped to:

• Grasp the significance of AI within contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to analyze financial data.
• Optimize portfolios using AI-driven methodologies.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request a customized version of this course, please contact us to arrange details.

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 serves as a strategic enabler for risk reduction, customer experience, and operational efficiency in financial services.

This instructor-led live training (available online or onsite) targets 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.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, formulate solutions, and make critical decisions. Much like the industrial revolution sparked by electricity, AI is transforming the lifecycle of products—reshaping how they are constructed, validated, and iterated upon.

This live, instructor-led training, available both online and in-person, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can elevate product ownership and bolster decision-making processes.

Upon completion of this course, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI approaches and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role—such as Visionary, Experimenter, or Customer Representative.
• Develop proficient prompting techniques and view AI tools as intelligent collaborators possessing specialized capabilities.
• Enhance customer insights by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer connections.
• Formulate and articulate a compelling product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize narratives.
• Accelerate prototyping and hypothesis testing using Generative AI tools, such as generating mock-ups or conceptual product designs.
• Inform product decisions by employing AI tools to analyze, prioritize, and assess features based on their value, feasibility, and impact on users.
• Automate or delegate routine daily responsibilities (including emails, stakeholder management, and note-taking) via AI, allowing more focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Identify and design high-value AI use cases tailored to specific products and organizational contexts.
• Explore and experiment with approximately 20 distinct AI tools and models—ranging from productivity assistants and prototyping platforms to generative solutions for video, images, and code.