AI for Digital Products in Banking Training Course

This instructor-led, live training in Malaysia (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 is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led live training, available both online and onsite, is designed for intermediate-level finance professionals seeking to apply 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 key AI methodologies utilised in credit scoring and risk prediction.
• Construct and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to streamline underwriting, loan approvals, and portfolio management.

Course Format

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

Customization Options

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

AI is reshaping how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.

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

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

• Understand AI use cases in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Leverage graph-based AI for network risk detection.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

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 serves as a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency within financial services.

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

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

• Grasp 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.

Course Format

• 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-personalization, and secure real-time financial services.

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

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

• Understand how AI and machine learning are applied across various 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.

Course Format

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

Customization Options

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

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

This instructor-led live training, available either online or at your location, is designed for intermediate-level professionals in finance and technology who want to grasp the strategic, ethical, and regulatory impacts of AI within the financial sector.

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

• Grasp the strategic applications of AI in financial services.
• Assess the ethical and regulatory consequences of adopting AI.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organisational objectives and compliance mandates.

Course Format

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

Customisation Options

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

Artificial Intelligence serves as a potent suite of techniques for developing intelligent trading systems that analyse market data, generate predictions, and execute strategies autonomously.

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

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

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

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

This instructor-led, live training (available online or onsite) 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 equipped to:

• Grasp the application of AI in wealth management and digital advisory platforms.
• Develop intelligent systems for customized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical and regulatory considerations in automated investment advice.

Course Format

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

Course Customization Options

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

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 Malaysia (online or onsite) is designed for finance professionals who wish to utilise 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 operates.
• Employ ChatGPT to automate financial tasks such as data entry and report generation.
• Analyse financial data using ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models tailored for specific financial use cases.

Copilot for Microsoft 365 serves as an AI-driven assistant that seamlessly integrates 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 session (available online or onsite) is designed for finance and accounting professionals who have limited AI experience but wish to leverage Microsoft Copilot to enhance accuracy, efficiency, and insight in their financial tasks.

Upon completing this training, participants will be equipped to:

• Produce financial reports swiftly and accurately using Copilot.
• Automate routine accounting and data-entry tasks.
• Generate financial summaries and forecasts with AI assistance.
• Utilize natural language prompts to extract valuable insights from extensive financial datasets.

Course Format

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

Course Customization Options

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

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

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

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

• Grasp the core concepts underpinning 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 tasks.
• Assess the ethical and regulatory aspects associated with generative AI implementations.

Course Format

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

Course Customization Options

• For tailored training requirements, please get in touch with us to arrange.

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

This instructor-led live training, available either 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:

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to meet performance, cost, and SLA objectives.

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.

Machine Learning represents a specialized area within Artificial Intelligence, dedicated to developing systems that can learn from data and make predictions or decisions without explicit programming instructions.

This instructor-led live training, available both online and onsite, is designed for finance professionals at an intermediate level who aim to apply machine learning and AI techniques to practical 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 pertinent to the finance sector.
• Utilize supervised and unsupervised learning algorithms on financial datasets.
• Construct and assess predictive models for credit risk, fraud detection, and market analysis.
• Employ Python and scikit-learn to develop machine learning pipelines.

Course Format

• Interactive lectures and discussions.
• Ample opportunities for exercises and practice.
• Practical implementation in a live laboratory environment.

Customization Options

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

This instructor-led, live training in Malaysia (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.
• Analyse 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.