AI for Credit Risk, Scoring & Lending Optimization Training Course

This instructor-led live training in Vietnam (online or onsite) is aimed at intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Understand the role of AI in financial automation and fraud detection.
• Build AI models for detecting fraudulent transactions.
• Leverage machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial Intelligence serves as a transformative technology that empowers the creation of digital products equipped with sophisticated, data-driven capabilities and highly personalized customer experiences.

Designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-powered digital products, this instructor-led live training is available either online or onsite. The program integrates asynchronous activities with interactive in-person workshops to foster a comprehensive learning environment.

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

• Pinpoint customer needs and articulate a clear product vision.
• Leverage AI technologies to elevate digital banking offerings.
• Utilize agile methodologies and design thinking principles to develop user-centric solutions.
• Measure, iterate upon, and optimize product performance to ensure long-term value creation.

Course Format

• 50% synchronous sessions (conducted virtually or in-person).
• 25% asynchronous activities, including video content, readings, and forum discussions.
• 25% hands-on practical workshops featuring real-world case studies.

Customization Options

• To arrange a tailored version of this course, please contact our team directly.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and prevent money laundering by intelligently analyzing massive transaction datasets in real-time.

This instructor-led training, available online or onsite, is designed for intermediate-level professionals who want to use 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 how AI is applied in fraud detection and AML monitoring.
• Create and deploy models for detecting anomalies and scoring transactions.
• Apply graph-based AI techniques to identify network risks.
• Deploy models that are ethical, explainable, and compliant with regulations.

Course Format

• Engaging lectures and discussions.
• Numerous exercises and practical applications.
• Practical implementation within a live laboratory environment.

Options for Customizing the Course

• To request a customized version of this course, please get in touch with us to arrange it.

AI serves as a strategic driver for enhancing risk management, customer experience, and operational efficiency within financial services.

This instructor-led live training (available online or on-site) is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence but wish to learn how to responsibly and effectively implement AI solutions in their organizations.

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

• Grasp the strategic value of AI within 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 lectures and discussions.
• 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 revolutionizing the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure real-time financial services.

This instructor-led live training, available both online and onsite, 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 able to:

• Understand the application of AI and machine learning across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation strategies for product innovation.
• Design AI-powered features tailored for digital wallets, neobanks, and financial assistants.
• Ensure alignment between innovation initiatives and regulatory, ethical, and security requirements.

Course Format

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

Course Customization Options

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

Artificial intelligence is reshaping how financial institutions approach risk management, strategic planning, regulatory compliance, and customer experience.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals in finance and technology who want to grasp the influence 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 the financial services industry.
• Assess the ethical and regulatory consequences of adopting AI technologies.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance mandates.

Course Format

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

Customization Options

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

Artificial Intelligence comprises a powerful array of techniques designed to create intelligent trading systems capable of analyzing market data, making predictions, and executing strategies autonomously.

This instructor-led live training, available either online or on-site, is tailored for intermediate-level finance professionals aiming to apply AI techniques in trading and asset management. The focus is 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.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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 revolutionizing the WealthTech sector by facilitating highly customized financial services, smart advisory platforms, and superior customer experiences.

This guided training session (available online or at your location) targets intermediate-level professionals in finance and technology who aim to create, assess, or deploy AI-powered solutions for personalized wealth management and automated advisory services.

Upon completing this training, participants will be capable of:

• Grasping the application of AI in wealth management and digital advisory platforms.
• Developing intelligent systems that provide tailored portfolio recommendations.
• Integrating behavioral finance data and client preferences into advisory algorithms.
• Assessing ethical and regulatory challenges associated with automated investment advice.

Course Format

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

Course Customization Options

• To arrange a tailored training program for this course, please reach out to us.

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 Vietnam (online or onsite) is designed for finance professionals aiming to leverage ChatGPT to optimize their workflows and enhance their capabilities in data analysis and reporting.

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

• Grasp the fundamental concepts of ChatGPT and its operational mechanisms.
• Apply ChatGPT to automate financial processes, including data entry and report generation.
• Utilize ChatGPT for financial data analysis to derive insights and support informed decision-making.
• Build custom ChatGPT models tailored to specific financial applications.

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

This instructor-led, live training—available online or on-site—is tailored for finance and accounting practitioners with limited prior experience in AI who wish to harness Microsoft Copilot to improve accuracy, efficiency, and analytical insight in their financial tasks.

Upon completing this training, participants will be able to:

• Generate financial reports swiftly and accurately using Copilot.
• Automate repetitive accounting procedures and data-entry workflows.
• Produce financial summaries and forecasts with the support of AI.
• Leverage natural language queries to extract meaningful insights from extensive financial datasets.

Format of the Course

• Interactive lectures coupled with group discussions.
• Ample opportunities for exercises and hands-on practice.
• Practical implementation in a live-lab setting.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange your preferred schedule.

Generative AI refers to a category of artificial intelligence methodologies employed to create new content or predictions by analyzing existing data. This includes technologies such as Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led training session, available either online or at your location, is designed for finance professionals ranging from beginner to intermediate skill levels who aim to leverage generative AI for tasks like forecasting, anomaly detection, and compliance within the financial services sector.

Upon completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures coupled with open discussions.
• Numerous exercises and practical practice sessions.
• Direct implementation work in a live laboratory environment.

Course Customization Options

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

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

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and compliance measures.

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

• Create finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Establish reliability, safety mechanisms, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to enhance performance, reduce costs, and meet SLAs.

Course Format

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

Customization Options

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

Machine Learning represents a key subset of Artificial Intelligence, dedicated to developing systems that can learn from data to make predictions or decisions without explicit programming instructions.

This instructor-led live training (available online or onsite) is designed for intermediate-level finance professionals looking 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 fundamental machine learning concepts applicable to the finance sector.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Construct and evaluate 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.
• Numerous exercises and practical tasks.
• Hands-on implementation in a live-lab environment.

Customization Options

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

This instructor-led, live training in Vietnam (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.