AI for Digital Products in Banking Training Course

This instructor-led, live training in Portugal (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy 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 financial automation and fraud detection.
• Construct AI models capable of detecting fraudulent transactions.
• Apply machine learning techniques for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals looking to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

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

• Grasp the core AI methods 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 enhance underwriting, loan approval, and portfolio management.

Course Format

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

Course Customization Options

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

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

This instructor-led live training (available online or onsite) is designed for intermediate-level professionals who wish to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.

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

• Understanding AI use cases in fraud detection and AML monitoring.
• Designing and implementing models for anomaly detection and transaction scoring.
• Leveraging graph-based AI for network risk detection.
• Ensuring ethical, explainable, and regulatory-compliant model deployment.

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.

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

This live, instructor-led training session, available either online or on-site, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The course aims to equip these professionals with the knowledge required to implement AI solutions responsibly and effectively within their institutions.

Upon completing this training, participants will be capable of:

• Grasping the strategic importance of AI in financial services.
• Identifying and addressing ethical risks linked to AI models.
• Navigating the regulatory landscape surrounding AI in finance.
• Developing frameworks for responsible AI governance and implementation.

Course Format

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

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level FinTech professionals looking to explore the intersection 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 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.

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

This instructor-led live training, available online or onsite, targets intermediate-level finance and technology professionals keen on understanding the impact of AI on strategy, ethics, and regulation within the financial sector.

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

• Grasp the strategic applications of AI in financial services.
• Evaluate the ethical and regulatory implications of adopting AI.
• Develop frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational goals and compliance requirements.

Course Format

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

Course Customization Options

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

Artificial Intelligence encompasses a potent suite of methods designed to create intelligent trading systems capable of analyzing market data, generating predictions, and executing strategies with autonomy.

This instructor-led live training, available online or onsite, is tailored for intermediate-level finance professionals aiming to apply AI techniques in trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and algorithmic strategies.

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

• Grasp the role of AI in contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Implement supervised and unsupervised learning models on financial data.
• Optimize portfolios using AI-driven methodologies.

Course Format

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

Course Customization Options

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

AI is revolutionizing the WealthTech sector by facilitating highly tailored financial services, smart advisory platforms, and superior user experiences.

This instructor-led live training (available online or onsite) targets intermediate-level finance and technology professionals looking to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.

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

• Grasp how AI is utilized in wealth management and digital advisory platforms.
• Construct intelligent systems for 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 activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request 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.

This instructor-led, live training in Portugal (online or onsite) is designed for finance professionals who wish 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 its operational mechanics.
• Leverage ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data using ChatGPT to derive insights and make informed decisions.
• Develop custom ChatGPT models tailored to specific financial use cases.

Microsoft 365 Copilot is an AI-driven assistant integrated into Microsoft Office applications, designed to help finance and accounting professionals boost productivity, streamline reporting processes, and support data-driven decision-making.

This instructor-led, live training (available online or onsite) targets finance and accounting professionals with limited prior experience in AI who want to leverage Microsoft Copilot to enhance accuracy, efficiency, and insights in their financial tasks.

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

• Quickly and accurately generate financial reports using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Produce financial summaries and forecasts with AI support.
• Utilize natural language prompts to extract insights from large financial datasets.

Course Format

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

Customization Options

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

Generative AI encompasses artificial intelligence techniques designed to create new content or predictions from existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led live training, available either online or onsite, targets finance professionals at beginner to intermediate levels who seek to leverage generative AI for forecasting, anomaly detection, and compliance within financial services.

Upon completing this training, participants will be able to:

• Grasp the core concepts underlying generative AI models.
• Utilize LLMs and GANs for practical applications such as fraud detection and the generation of synthetic data.
• Craft effective prompts to support financial forecasting and reporting.
• Assess ethical and regulatory factors associated with generative AI implementations.

Course Format

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

Customization Options

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications by utilizing composable graphs that maintain persistent state and offer precise control over execution flows.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced professionals aiming to design, implement, and operate LangGraph-based financial solutions that adhere to robust governance, observability, and compliance standards.

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

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Implement reliability, safety mechanisms, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to ensure high performance, cost efficiency, and adherence to SLAs.

Course Format

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

Customization Options

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

Machine Learning represents a subset of Artificial Intelligence dedicated to developing systems capable of learning from data and making predictions or decisions without explicit programming instructions.

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

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

• Comprehend the fundamental machine learning concepts applicable to the finance sector.
• 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 build machine learning pipelines.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• 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 Portugal (online or on-site) is designed for intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to harness multimodal AI for risk analysis and fraud detection.

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

• Comprehend how multimodal AI is applied in financial risk management.
• Analyse structured and unstructured financial data to detect fraud.
• Implement AI models to identify anomalies and suspicious activities.
• Utilise NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models within real-world financial systems.