AI in FinTech & Open Banking Innovation Training Course

This instructor-led, live training in Taiwan (online or on-site) 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 completing this training, participants will be able to:

• Comprehend the role of AI in financial automation and fraud detection.
• Construct AI models designed to identify fraudulent transactions.
• Utilize 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 seeking to leverage AI to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• For those interested in requesting customized training for this course, please contact us to make arrangements.

Artificial Intelligence serves as a pivotal technology that facilitates the creation of digital products equipped with sophisticated data-driven functionalities and personalized customer experiences.

This instructor-led live training, available in both online and onsite formats, integrates asynchronous activities with hands-on in-person workshops. It is specifically designed for intermediate-level banking professionals who aim to effectively design, develop, and launch AI-enhanced digital products.

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

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

Course Format

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

AI is revolutionizing the way financial institutions identify fraud and combat money laundering by utilizing intelligent, real-time analysis of extensive transaction data.

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

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

• Understanding AI applications in fraud detection and AML monitoring.
• Designing and implementing models for anomaly detection and transaction scoring.
• Utilizing graph-based AI for network risk detection.
• Ensuring the deployment of ethical, explainable, and regulation-compliant models.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and 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.

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

This instructor-led live training, available online or onsite, is designed for financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence. It aims to help them understand how to responsibly and effectively implement AI solutions within their institutions.

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

• Comprehend the strategic value of AI in the financial services sector.
• 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 customized training for this course, please contact us to arrange.

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

This instructor-led live training, available online or onsite, targets intermediate-level financial and technology professionals who want to grasp how AI influences strategy, ethics, and regulation within the financial sector.

By the conclusion 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.
• Construct 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

• For those interested in customizing this training, please contact us to make arrangements.

Artificial Intelligence comprises powerful techniques for developing intelligent trading systems that autonomously analyze market data, make predictions, and execute strategies.

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

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

• Comprehend the role of AI in modern financial markets.
• Use Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Course Format

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

Customization Options

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

AI is reshaping the WealthTech sector by facilitating highly customized financial services, intelligent advisory platforms, and superior user experiences.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance and technology professionals seeking to design, evaluate, or implement 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 applied within wealth management and digital advisory platforms.
• Design intelligent systems for personalized portfolio recommendations.
• Integrate behavioral finance data and user preferences into advisory algorithms.
• Assess ethical and regulatory challenges in automated investment advice.

Course Format

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

Customization Options

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

Applied AI elevates efficiency and intelligence for finance professionals analyzing and reporting business performance.

This instructor-led, live training (online or onsite) targets intermediate-level finance professionals seeking to integrate AI tools into 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 Taiwan (online or onsite) is designed for finance professionals who want to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of ChatGPT and its underlying mechanisms.
• Leverage ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data using ChatGPT to derive insights and make well-informed decisions.
• Develop custom ChatGPT models tailored to specific financial use cases.

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

This instructor-led, live training (available online or onsite) is tailored for finance and accounting professionals with limited AI experience who wish to leverage Microsoft Copilot to enhance accuracy, efficiency, and insight in their 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.

Generative AI represents a category of artificial intelligence technologies designed to create new content or predictions by analyzing existing data, encompassing models such as Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led live training, available online or onsite, is tailored for beginner to intermediate finance professionals aiming to leverage generative AI for forecasting, anomaly detection, and compliance within financial services.

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

• Grasp the foundational principles underlying generative AI models.
• Utilize LLMs and GANs for applications like fraud detection and synthetic data generation.
• Craft effective prompts to support financial forecasting and reporting.
• Assess the ethical and regulatory aspects associated with generative AI implementations.

Course Format

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

Customization Options

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

LangGraph serves as a framework for developing stateful, multi-agent LLM applications through composable graphs that maintain persistent state and provide precise control over execution flow.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based financial solutions with robust governance, observability, and compliance.

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 state and tooling.
• Implementing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance, cost, and SLA objectives.

Course Format

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

Course Customization Options

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

Machine Learning constitutes a specialized branch of Artificial Intelligence dedicated to developing systems capable of learning from data to generate predictions or decisions without explicit programming instructions.

This instructor-led live training, available both online and on-site, targets intermediate-level finance professionals seeking to leverage machine learning and AI techniques to address real-world challenges such as fraud detection, credit scoring, and risk modeling.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental machine learning concepts pertinent to the finance sector.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Construct and evaluate predictive models for credit risk assessment, fraud detection, and market analysis.
• Utilize Python and scikit-learn to implement machine learning pipelines.

Course Format

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

Customization Options

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

This instructor-led, live training in Taiwan (online or onsite) targets intermediate-level finance professionals, data analysts, risk managers, and AI engineers who aim to leverage multimodal AI for risk analysis and fraud detection.

Upon completing this training, participants will be able to:

• Grasp the application of multimodal AI in financial risk management.
• Analyze both structured and unstructured financial data to detect fraud.
• Deploy AI models to identify anomalies and suspicious activities.
• Utilize NLP and computer vision techniques for analyzing financial documents.
• Implement AI-driven fraud detection models within real-world financial systems.