AI za finansije Training in Srbija

This live, instructor-led training in Srbija addresses AI governance and strategic risk management in financial services. It emphasizes ethical implications, regulatory frameworks, and the construction of oversight mechanisms. Participants will learn to harmonize AI strategies with compliance standards and organizational goals.

This live, instructor-led training in Srbija, offered online or on-site, caters to intermediate-level financial professionals, risk analysts, and AI engineers looking to build and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion, participants will be equipped to:

• Comprehend the function of AI in financial automation and fraud detection.
• Develop AI models specifically for identifying fraudulent transactions.
• Utilize machine learning for real-time risk evaluation.
• Implement AI-powered financial monitoring systems.

This live, instructor-guided training in Srbija empowers finance practitioners and IT staff to implement Ollama locally. Learners acquire the skills to deploy, configure, and embed large language models into secure financial workflows, while adhering to best practices for compliance and automation.

Veštačka inteligencija za digitalne proizvode u bankarstvu je obuka od 40 sati u Srbija za bankarske stručnjake srednjeg nivoa. Pokriva dizajn digitalnih proizvoda na bazi veštačke inteligencije, agilni razvoj i korisnička iskustva zasnovana na podacima. Učesnici stiču praktične veštine za unapređenje bankarskih proizvoda kroz radionice na terenu.

This instructor-led training in Srbija guides finance professionals in utilizing WrenAI to model KPIs and build dashboards that are inherently compliance-aware. Participants will develop practical skills in data source integration, maintaining audit readiness, and generating risk management reports to support robust decision-making.

This instructor-led training in Srbija empowers professionals to create LangGraph-based finance solutions. Learners will master implementing workflows that align with regulatory requirements, integrating data standards, and deploying systems with robust governance, observability, and compliance controls.

This instructor-led, live training in Srbija (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.

This instructor-led, live training in Srbija (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.

This instructor-led, live training in Srbija (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.

This five-day course in Srbija empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimize GL operations, and design autonomous workflows to enhance financial analysis, reporting, and strategic decision-making.

Delve into AI in finance through this course in Srbija. Master ML applications for risk oversight, fraud prevention, and forecasting. Explore AI roles in banking, regulatory adherence, and generative AI tools. Acquire the skills needed to fuel data-centric decision-making and innovation.

This intensive five-day training program is crafted to provide participants with a profound understanding of how artificial intelligence (AI) is transforming financial systems. Combining theoretical insights with practical applications, attendees will delve into advanced AI methodologies specifically designed for the financial industry. Upon completion, participants will possess the essential skills and knowledge to effectively utilize AI technologies in key areas such as financial decision-making, risk management, fraud detection, algorithmic trading, customer service, and other vital functions within financial institutions. The course seeks to empower professionals with the expertise required to navigate the dynamic world of AI-driven finance and maintain a competitive edge in an increasingly demanding market.

Artificial Intelligence is quickly emerging as the cornerstone of contemporary product management, fundamentally altering the way we uncover customer requirements, define solutions, and make critical decisions. Much like electricity transformed industrial processes, AI is redefining the lifecycle of how products are created, validated, and iterated.

This live, instructor-led course, available both online and on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to enhance their ownership practices and decision-making capabilities.

Upon completion, participants will be equipped to:

• Grasp the core concepts of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Utilize AI to reinforce the seven key stances of a Product Owner—such as Visionary, Experimenter, and Customer Representative, as well as the newly introduced Orchestrator stance.
• Master the art of effective prompting, treating AI tools as intelligent partners with specific capabilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer interactions.
• Articulate a clear product vision using structured approaches like the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Expedite prototyping and hypothesis testing with Generative AI tools, including the creation of mock-ups and product concepts.
• Inform product decisions by leveraging AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine administrative tasks—such as email management, stakeholder communication, and note-taking—through AI, allowing more focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable implementation.
• Identify and craft valuable AI use cases that align with specific product and organizational needs.
• Experiment with approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding solutions.