Can an algorithm perceive market risk more swiftly than a human professional? Within the domain of Artificial Intelligence for Finance, the answer is frequently yes—and it does so without ever resting.
Our instructor-led courses explore in depth how artificial intelligence is revolutionizing finance: identifying fraud in milliseconds, forecasting asset performance, automating compliance procedures, and enabling intelligent trading systems. From quantitative teams to risk analysts, participants gain practical experience with the models that are redefining financial services.
Participate in live online training through an interactive remote desktop, or join onsite sessions in Nepal—at your financial institution or a NobleProg training centre—featuring laboratories designed around real-world datasets, regulatory requirements, and fintech platforms.
Whether you operate in retail banking, investment management, or fintech innovation, these courses empower your team to utilise AI with precision—securely, responsibly, and competitively.
Also known as AI in Finance, Financial AI, or Intelligent Finance Systems, this training track provides professionals with a competitive advantage in a market where milliseconds—and models—hold significant importance.
NobleProg – Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Artificial Intelligence (AI) is reshaping how financial institutions manage risk, strategy, compliance, and customer experience.
Offered as an instructor-led live training (available online or onsite), this course targets intermediate-level financial and technology professionals eager to grasp how AI influences strategy, ethics, and regulation within the financial sector.
Upon completing this training, participants will be equipped 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 objectives and compliance mandates.
Course Format
Interactive lectures and discussions.
Case studies and collaborative group exercises.
Practical analysis of real-world AI regulatory frameworks.
Course Customization Options
To arrange customized training for this course, please get in touch with us.
This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.
Upon completion of this training, participants will be able to:
Comprehend the role of AI in financial automation and fraud detection.
Construct AI models to detect fraudulent transactions.
Utilize machine learning for real-time risk assessment.
Ollama serves as a lightweight platform designed for running large language models locally.
This instructor-led live training, available both online and onsite, targets intermediate-level finance professionals and IT staff who aim to implement, customize, and operationalize Ollama-based AI solutions within financial environments.
Upon completing this training, participants will acquire the necessary skills to:
Deploy and configure Ollama for secure usage in financial operations.
Integrate local large language models (LLMs) into analytical and reporting workflows.
Adapt models to align with finance-specific terminology and tasks.
Apply best practices for security, privacy, and compliance.
Format of the Course
Interactive lectures and discussions.
Hands-on exercises involving financial data.
Live-lab implementation of finance-focused scenarios.
Course Customization Options
To request a customized training version of this course, please contact us to make arrangements.
Artificial Intelligence empowers the creation of digital products with advanced data-driven capabilities and personalized customer experiences.
This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is aimed at intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.
By the end of this training, participants will be able to:
Identify customer needs and define a clear product vision.
Apply AI technologies to enhance digital banking products.
Use agile and design thinking methods to create user-centered solutions.
Measure, iterate, and optimize product performance for sustained value.
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, simplify reporting processes, and support informed decision-making.
This instructor-led, live training session (available online or on-site) is tailored for finance and accounting professionals with limited AI experience who wish to harness Microsoft Copilot to enhance the accuracy, efficiency, and depth of insight in their financial tasks.
Upon completion of this training, participants will be equipped to:
Generate financial reports swiftly and with high accuracy using Copilot.
Automate routine accounting and data-entry activities.
Produce financial summaries and forecasts with AI support.
Utilize natural language prompts to extract valuable insights from extensive financial datasets.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To arrange customized training for this course, please contact us.
Applied AI brings unprecedented levels of efficiency and intelligence to the methods finance professionals use to analyze and report on business performance.
This instructor-led live training, available online or on-site, is designed for intermediate-level finance professionals looking to integrate AI tools into their financial statement workflows. The goal is to enhance accuracy, automate repetitive tasks, and derive forward-looking insights.
By the conclusion of this training, participants will be equipped to:
Automate data extraction from financial documents using AI-driven tools.
Apply machine learning models to identify trends and anomalies within financial statements.
Utilize generative AI to support variance commentary, narrative reporting, and scenario simulation.
Interpret AI-generated outputs responsibly within the context of finance reporting and planning.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live-lab environment.
Customization Options
For those seeking customized training for this course, please contact us to arrange your requirements.
WrenAI empowers finance teams to model Key Performance Indicators (KPIs), integrate standardized metrics, and design dashboards that adhere to regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) targets intermediate to advanced finance professionals looking to leverage WrenAI for constructing compliant financial data models and dashboards that support informed decision-making and risk management.
Upon completion of this training, participants will be able to:
Model financial KPIs and metrics using WrenAI.
Develop dashboards that align with regulatory and audit requirements.
Integrate WrenAI with financial data sources for real-time reporting.
Apply best practices for financial analytics and risk monitoring.
Course Format
Interactive lectures and discussions.
Hands-on exercises with financial data models.
Practical labs on dashboard design and compliance reporting.
Course Customization Options
For a customized training session, please contact us to arrange.
Artificial Intelligence is reshaping 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 tailored for beginner to intermediate-level FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking to craft next-generation financial products.
Upon completing this training, participants will be equipped to:
Grasp how AI and machine learning are deployed across various FinTech applications.
Utilize Open Banking APIs and data aggregation tools to drive product innovation.
Develop AI-powered features for digital wallets, neobanks, and financial assistants.
Ensure that innovation aligns with regulatory, ethical, and security standards.
Course Format
Engaging lectures coupled with interactive discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
For customized training tailored to this course, please reach out to us to make arrangements.
Artificial Intelligence is reshaping the way financial institutions identify fraud and tackle money laundering by utilizing intelligent, real-time analysis of extensive transaction data.
This instructor-led live training, available online or onsite, targets intermediate-level professionals keen on leveraging machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.
Upon completion of this training, participants will be equipped to:
Comprehend AI applications in fraud detection and AML monitoring.
Design and implement models for anomaly detection and transaction scoring.
Utilize graph-based AI for identifying network risks.
Ensure the deployment of models that are ethical, explainable, and compliant with regulations.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical sessions.
Hands-on implementation within a live lab environment.
Course Customization Options
For customized training requirements, please reach out to us to arrange.
Artificial intelligence is reshaping the WealthTech sector by facilitating highly customized financial services, smart advisory platforms, and improved client experiences.
This instructor-led, live training (available online or onsite) targets intermediate-level finance and technology professionals eager to design, assess, or deploy AI-powered solutions for personalized wealth management and robo-advisory services.
Upon completing this training, participants will be equipped to:
Comprehend the application of AI in wealth management and digital advisory platforms.
Design intelligent systems tailored for personalized portfolio recommendations.
Integrate behavioral finance data and individual preferences into advisory algorithms.
Assess ethical and regulatory challenges associated with automated investment advice.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
For a customized training session for this course, please get in touch with us to arrange.
LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage finance solutions based on LangGraph, ensuring proper governance, observability, and compliance.
Upon completion of this training, participants will be able to:
Develop finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and tooling.
Implement reliability, safety, and human-in-the-loop controls for critical operations.
Deploy, monitor, and optimize LangGraph systems to enhance performance, manage costs, and meet SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
To request custom training for this course, please contact us to arrange.
This instructor-led, live training in Nepal (online or onsite) 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.
By the end of 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.
Implement AI models to identify anomalies and suspicious activities.
Utilize NLP and computer vision techniques for analyzing financial documents.
Deploy AI-driven fraud detection models within real-world financial systems.
Artificial intelligence is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and streamline lending decisions.
This instructor-led live training, available either online or at your premises, is designed for finance professionals with an intermediate skill level who want to leverage artificial intelligence to refine credit scoring models, manage risk more effectively, and enhance lending operations.
Upon completing this training, participants will be equipped to:
Grasp the core AI methodologies employed 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.
Implement AI techniques to boost underwriting, loan approvals, and portfolio management.
Course Format
Engaging lectures and interactive discussions.
Ample exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To request a customized version of this course, please get in touch with us to arrange.
This instructor-led live training in Nepal (online or onsite) is designed for finance professionals who wish to use ChatGPT to streamline their workflows and improve their data analysis and reporting capabilities.
By the end of this training, participants will be able to:
Understand the basics of ChatGPT and how it works.
Use 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 range of artificial intelligence techniques designed to create new content or predictions based on existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
This instructor-led training, available either online or at your workplace, targets finance professionals at the beginner to intermediate levels who are eager to leverage generative AI for forecasting, detecting anomalies, and ensuring compliance within the financial sector.
Upon completing this training, participants will be equipped to:
Grasp the core concepts underlying generative AI models.
Utilise LLMs and GANs for applications such as fraud detection and generating synthetic data.
Craft effective prompts to support financial forecasting and reporting.
Assess ethical and regulatory aspects associated with generative AI in finance.
Course Format
Engaging lectures and group discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customisation Options
For bespoke training tailored to your organisation's needs, please get in touch with us to make arrangements.
This instructor-led, live training in Nepal (online or onsite) is aimed at 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.
By the end of this training, participants will be able to:
Understand the fundamentals of prompt engineering in financial applications.
Leverage AI models for financial forecasting and market sentiment analysis.
Automate financial reporting and data extraction using AI prompts.
Develop AI-driven risk assessment models through optimized prompts.
Ensure compliance and ethical considerations when using AI in finance.
Artificial Intelligence encompasses a robust array of methodologies designed to create intelligent trading systems capable of autonomously analyzing market data, generating predictions, and executing strategic decisions.
This instructor-led live training, available either online or at your location, is tailored for finance professionals with intermediate experience who aim to integrate AI techniques into trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and the development of algorithmic strategies.
Upon completion of this training, participants will be equipped to:
Grasp the critical role of AI in contemporary financial markets.
Utilize Python to construct and backtest algorithmic trading strategies.
Implement supervised and unsupervised learning models on financial datasets.
Enhance portfolio optimization through AI-driven methodologies.
Course Format
Engaging lectures coupled with interactive discussions.
Extensive practical exercises and hands-on practice.
Direct implementation in a live-lab environment.
Customization Options
For inquiries regarding customized training sessions, please reach out to us to make arrangements.
Machine Learning, a specialized branch of Artificial Intelligence, focuses on developing systems capable of learning from data to make predictions or decisions without explicit programming.
This instructor-led live training, available either online or onsite, is designed for intermediate-level finance professionals eager to apply ML and AI techniques to practical 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 both supervised and unsupervised learning algorithms to 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.
Numerous exercises and practical sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request a tailored version of this course, please reach out to us to arrange.
Artificial Intelligence serves as a strategic enabler for risk reduction, customer experience, and operational efficiency within financial services.
This instructor-led live training, available either online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The course aims to help participants 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 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 customized training for this course, please contact us to arrange.
Artificial Intelligence is rapidly emerging as the bedrock of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of products—how they are constructed, validated, and iterated.
This live, instructor-led training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can amplify product ownership and fortify decision-making processes.
Upon completion of this course, participants will be equipped to:
Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
Implement the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to enhance each role—such as Visionary, Experimenter, or Customer Representative.
Excel in effective prompting techniques, viewing AI tools as intelligent collaborators with distinct capabilities.
Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while preserving genuine customer interactions.
Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
Accelerate prototyping and hypothesis testing with Generative AI tools, such as generating mock-ups or refining product concepts.
Inform product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
Automate or delegate routine daily tasks (such as email management, stakeholder coordination, and note-taking) via AI, allowing focus on strategic and creative endeavors.
Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
Identify and design high-value AI use cases tailored to specific product and organizational contexts.
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.
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Testimonials (4)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise
Joanne Wong - IPG HK Limited
Course - Applied AI for Financial Statement Analysis & Reporting
Possible applications /exercises
Estelle De la Fouchardiere - Advanced Bionics AG
Course - Machine Learning & AI for Finance Professionals
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