AI for Finance Training in Sofia

Artificial Intelligence (AI) is reshaping how financial institutions approach risk management, strategic planning, regulatory compliance, and customer experience enhancement.

This instructor-led live training, available both online and onsite, is designed for financial and technology professionals at an intermediate level who aim to grasp the influence of AI on strategy, ethics, and regulation within the financial industry.

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

• Identify strategic applications of AI within financial services.
• Assess the ethical and regulatory consequences of implementing AI.
• Create frameworks for responsible AI governance and oversight.
• Synchronize AI strategies with organizational objectives and compliance mandates.

Course Format

• Engaging lectures and interactive discussions.
• Case study analyses and collaborative group exercises.
• Practical examination of real-world AI regulatory structures.

Customization Options

• For inquiries regarding customized training for this course, please reach out to us to make arrangements.

This instructor-led, live training in Sofia (online or on-site) targets intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Grasp the role of AI in financial automation and fraud detection.
• Construct AI models for identifying fraudulent transactions.
• Utilize machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Ollama serves as a lightweight platform designed for executing large language models locally.

This instructor-led, live training, available online or on-site, targets finance professionals and IT staff with intermediate expertise who aim to implement, customize, and operationalize Ollama-based AI solutions within financial settings.

Upon completing this training, participants will acquire the capabilities to:

• Deploy and configure Ollama to ensure secure usage in financial operations.
• Integrate local LLMs into analytical and reporting processes.
• Tailor models to meet finance-specific terminology and tasks.
• Apply best practices regarding security, privacy, and compliance.

Course Format

• Interactive lectures and discussions.
• Practical exercises using financial data.
• Live-lab implementation of finance-oriented scenarios.

Customization Options for the Course

• To request customized training for this course, please contact us to make arrangements.

Artificial Intelligence empowers the creation of digital banking solutions featuring advanced, data-driven functionalities and highly personalized customer journeys.

This instructor-led, live training—available either online or onsite—integrates asynchronous learning modules with face-to-face workshops. It is designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-enhanced digital products.

Upon completing this training, participants will be equipped to:

• Pinpoint customer needs and establish a clear product vision.
• Utilize AI technologies to elevate digital banking offerings.
• Employ agile methodologies and design thinking to foster user-centric solutions.
• Measure, iterate on, and optimize product performance to ensure long-term value.

Course Format

• 50% synchronous sessions (delivered virtually or in-person).
• 25% asynchronous activities (including videos, reading materials, and discussion forums).
• 25% in-person practical workshops featuring case studies.

Customization Options

• For tailored training arrangements for this course, please contact us.

Copilot for Microsoft 365 serves as an AI-driven assistant designed to integrate seamlessly with Microsoft Office applications, enabling finance and accounting professionals to boost productivity, streamline reporting processes, and enhance decision-making capabilities.

This instructor-led, live training is available both online and onsite. It is specifically designed for finance and accounting professionals who have limited experience with artificial intelligence but want to utilize Microsoft Copilot to improve the accuracy, efficiency, and depth of insight in their financial tasks.

Upon completing this training, participants will be capable of:

• Rapidly and accurately generating financial reports using Copilot.
• Automating routine accounting and data entry activities.
• Producing financial summaries and forecasts with the help of AI.
• Leveraging natural language prompts to uncover insights from extensive financial datasets.

Course Format

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

Customization Options for the Course

• To arrange a tailored training session for this course, please reach out to us to coordinate the details.

The application of artificial intelligence brings enhanced efficiency and sophistication to how finance professionals evaluate and present business performance.

This instructor-led live training, available either online or onsite, is designed for intermediate-level finance experts seeking to incorporate AI tools into their financial statement processes. The goal is to improve accuracy, automate routine tasks, and uncover proactive insights.

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

• Automating the extraction of data from financial documents using AI-driven tools.
• Utilizing machine learning models to identify trends and anomalies within financial statements.
• Leveraging generative AI to support variance commentary, narrative reporting, and scenario simulation.
• Critically interpreting AI-generated outputs within the context of financial reporting and planning.

Course Format

• Engaging lectures and interactive discussions.
• Ample opportunity for exercises and practical application.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For customized training arrangements for this course, please reach out to us.

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

This instructor-led live training, available either online or onsite, targets intermediate to advanced finance professionals seeking to leverage WrenAI for creating compliant financial data models and dashboards that facilitate decision-making and risk management.

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

• Modeling financial KPIs and metrics within WrenAI.
• Developing dashboards that align with regulatory and audit mandates.
• Integrating WrenAI with financial data sources to enable real-time reporting.
• Implementing best practices for financial analytics and risk monitoring.

Course Format

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

Customization Options

• For organizations interested in tailored training for this course, please reach out to us to arrange a customized session.

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

This instructor-led, live training session, available both online and onsite, is designed for beginner to intermediate FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking innovations to develop next-generation financial products.

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

• Grasp how AI and machine learning are applied across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
• Design 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.
• Numerous exercises and practical activities.
• Hands-on implementation within a live lab environment.

Course Customization Options

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

Artificial intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by enabling intelligent, real-time analysis of large-scale transaction data.

This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals looking to leverage machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completing this training, participants will be able to:

• Gain a clear understanding of AI applications in fraud detection and AML monitoring.
• Design and deploy models for identifying anomalies and scoring transactions.
• Utilize graph-based AI to detect risks within networks.
• Ensure that model deployment adheres to ethical standards, offers explainability, and meets regulatory requirements.

Course Format

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

Customization Options

• For tailored training on this subject, please contact us to make arrangements.

Artificial intelligence is revolutionizing the WealthTech sector by facilitating highly tailored financial services, smart advisory platforms, and superior user engagement.

This instructor-led, live training (available online or on-site) is designed for finance and technology professionals at an intermediate level who aim to design, assess, or deploy AI-powered solutions for personalized wealth management and robo-advisory services.

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

• Grasp the application of AI in wealth management and digital advisory systems.
• Develop intelligent systems that deliver personalized portfolio recommendations.
• Integrate behavioral finance insights and user preferences into advisory algorithms.
• Assess ethical and regulatory issues related to automated investment advice.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For customized training on this course, please contact us to arrange.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications that operate as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based finance solutions that adhere to proper governance, observability, and compliance standards.

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

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

Course Format

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

Course Customization Options

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

This guided, live training in Sofia (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.

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

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

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

• Comprehend the core AI methodologies utilized 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 processes, loan approvals, and portfolio management.

Course Format

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

Options for Course Customization

• To arrange customized training for this course, please get in touch with us.

This instructor-led, live training in Sofia (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.

Generative AI encompasses a category of artificial intelligence techniques designed to create new content or predictions based on existing data. This includes prominent technologies such as Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led live training, available both online and onsite, targets beginner to intermediate finance professionals seeking to leverage generative AI for forecasting, anomaly detection, and regulatory compliance within financial services.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts underlying generative AI models.
• Utilize LLMs and GANs for practical applications such as fraud detection and synthetic data creation.
• Craft effective prompts to support financial forecasting and reporting activities.
• Assess the ethical and regulatory challenges associated with generative AI applications.

Course Format

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

Course Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Sofia (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.

Artificial Intelligence encompasses a robust array of techniques designed to create intelligent trading systems capable of analyzing market data, generating predictions, and autonomously executing strategies.

This instructor-led live training, available both online and onsite, is tailored for finance professionals with an intermediate skill level who aim to integrate AI methodologies into trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and the development of algorithmic strategies.

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

• Grasp the significance of AI within contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Implement supervised and unsupervised learning models on financial datasets.
• Optimize investment portfolios through AI-driven methodologies.

Course Format

• Engaging lectures complemented by interactive discussions.
• Extensive exercises and practical application.
• Practical implementation within a live-lab environment.

Customization Options

• To arrange a customized training session for this course, please reach out to us.

Machine Learning is a branch of Artificial Intelligence dedicated to building systems that learn from data to make predictions or decisions without explicit programming instructions.

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

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

• Grasp the core machine learning concepts applicable to the finance sector.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Develop and assess predictive models for credit risk, fraud detection, and market analysis.
• Utilize Python and scikit-learn to implement machine learning pipelines.

Course Format

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

Customization Options

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

Artificial Intelligence serves as a key strategic driver for enhancing operational efficiency, improving customer experience, and mitigating risk within the financial sector.

This instructor-led live training, available both online and onsite, is designed for financial executives, fintech managers, and compliance officers who have limited prior experience with artificial intelligence. The program aims to help these professionals understand how to implement AI solutions responsibly and effectively within their organizations.

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

• Recognize the strategic value AI brings to financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the complex regulatory landscape governing AI in finance.
• Establish robust frameworks for AI governance and implementation.

Course Format

• Interactive lectures and group discussions.
• Analysis of case studies and collaborative exercises.
• Application of ethical frameworks to real-world financial scenarios.

Customization Options

• For information on customizing this training program, please contact us to discuss your needs.

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.