AI for Finance Training in Cambridge

Artificial Intelligence (AI) in Financial Services is revolutionizing how institutions manage risk, strategy, compliance, and customer experience.

This instructor-led, live training (online or onsite) is designed for intermediate-level financial and technology professionals who wish to gain a deeper understanding of how AI influences strategy, ethics, and regulation in the financial sector.

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

• Grasp the strategic applications of AI in financial services.
• Assess the ethical and regulatory implications of adopting AI.
• Create frameworks for responsible AI governance and oversight.
• Ensure that AI strategies are aligned with organizational goals and compliance requirements.

Format of the Course

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

Course Customization Options for Government

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level financial professionals, risk analysts, and artificial intelligence engineers who aim 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 enhancing financial automation and fraud detection. - Construct AI models to identify fraudulent transactions. - Utilize machine learning techniques for real-time risk assessment. - Implement AI-powered financial monitoring systems to improve operational efficiency and compliance for government.

Ollama is a lightweight platform designed for running large language models locally. This instructor-led, live training (available online or onsite) is targeted at intermediate-level finance professionals and IT personnel who aim to implement, customize, and operationalize Ollama-based AI solutions in financial environments. By completing this training, participants will acquire the skills necessary to: - Deploy and configure Ollama for secure use in financial operations. - Integrate local language models into analytical and reporting workflows. - Adapt models to finance-specific terminology and tasks. - Apply best practices for security, privacy, and compliance. **Format of the Course** - Interactive lectures and discussions. - Hands-on exercises with financial data. - Live-lab implementation of scenarios focused on finance. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

Artificial Intelligence is a technology that enables the development of digital products with advanced data-driven capabilities and personalized user experiences. This instructor-led, live training (online or onsite) combined with asynchronous activities and in-person workshops is designed for 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. **Format of the Course** - 50% synchronous classes (virtual or in-person). - 25% asynchronous activities (videos, readings, forums). - 25% in-person practical workshops with case studies. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

Copilot for Microsoft 365 is an AI-powered assistant designed to integrate with Microsoft Office applications, enhancing productivity, streamlining reporting, and supporting decision-making for finance and accounting professionals.

This instructor-led, live training (available online or onsite) is tailored for government finance and accounting professionals who have limited experience with AI but wish to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in 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.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government use, please contact us to arrange.

Applied AI introduces new levels of efficiency and intelligence in the analysis and reporting of business performance by finance professionals. This instructor-led, live training (online or onsite) is designed for 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. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** To request a customized training for government agencies, please contact us to arrange.

WrenAI offers finance teams the capability to model key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards. This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level finance professionals who seek to leverage WrenAI for constructing compliant financial data models and dashboards that support informed decision-making and effective risk management. By the end 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 finance data sources for real-time reporting. - Implement best practices for financial analytics and risk monitoring. **Format of the Course** - Interactive lectures and discussions - Hands-on exercises with financial data models - Practical labs on dashboard design and compliance reporting **Course Customization Options for Government** - To request a customized training program tailored to specific needs, please contact us to arrange.

AI is revolutionizing the financial technology sector by facilitating intelligent automation, personalized services, and secure real-time financial transactions. This instructor-led, live training (available online or on-site) is designed for government and beginner to intermediate FinTech professionals who are interested in exploring the integration of AI, APIs, and Open Banking innovations to develop next-generation financial products. By the end of this training, participants will be able to: - Understand how AI and machine learning are utilized across various FinTech applications. - Utilize Open Banking APIs and data aggregation for product development. - Design AI-powered features for digital wallets, neobanks, and financial assistants. - Ensure innovation aligns with regulatory, ethical, and security standards. **Format of the Course** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government or other organizations, please contact us to arrange.

Artificial intelligence (AI) is revolutionizing how financial institutions detect fraud and combat money laundering through advanced, real-time analysis of extensive transaction datasets. This instructor-led, live training (conducted online or onsite) is designed for intermediate-level professionals who aim to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance for government agencies. By the end of this training, participants will be able to: - Understand AI applications in fraud detection and anti-money laundering (AML) monitoring. - Design and implement models for anomaly detection and transaction scoring. - Utilize graph-based AI techniques for network risk detection. - Ensure ethical, explainable, and regulatory-compliant model deployment. **Format of the Course** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course tailored to specific needs, please contact us to arrange.

Artificial intelligence (AI) is revolutionizing WealthTech by enabling highly personalized financial services, intelligent advisory platforms, and enhanced user experiences. This instructor-led, live training (online or onsite) is designed for intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services for government and private sector applications. By the end of this training, participants will be able to: - Understand how AI is applied in wealth management and digital advisory platforms. - Design intelligent systems for personalized portfolio recommendations. - Incorporate behavioral finance data and preferences into advisory algorithms. - Evaluate ethical and regulatory concerns in automated investment advice. **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.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions in the finance sector, ensuring proper governance, observability, and compliance for government and private entities. By the end of this training, participants will be able to: - Design finance-specific LangGraph workflows aligned 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 for performance, cost, and service level agreements (SLAs). **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government or private sector needs, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals, data analysts, risk managers, and artificial intelligence engineers who wish to utilize multimodal AI for enhancing risk analysis and fraud detection. By the end of this training, participants will be able to: - Comprehend how multimodal AI is applied in financial risk management. - Analyze both structured and unstructured financial data for identifying potential fraud. - Implement AI models to detect anomalies and suspicious activities. - Utilize natural language processing (NLP) and computer vision techniques for the analysis of financial documents. - Deploy AI-driven fraud detection systems in real-world financial environments, ensuring alignment with regulatory requirements for government.

Artificial intelligence (AI) is revolutionizing how financial institutions evaluate creditworthiness, assess risk, and optimize lending decisions. This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who aim to apply AI to enhance credit scoring models, manage risk more effectively, and improve lending operations for government and private sector entities. By the end of this training, participants will be able to: - Understand key AI methods used in credit scoring and risk prediction. - Build and evaluate credit scoring models using machine learning algorithms. - Interpret model outputs for regulatory compliance and transparency. - Apply AI techniques to improve underwriting, loan approval, and portfolio management. **Format of the Course:** - Interactive lecture and discussion. - Extensive 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.

This instructor-led, live training (conducted online or on-site) is designed for finance professionals who aim to leverage ChatGPT to enhance their workflows and improve data analysis and reporting capabilities. By the end of this training, participants will be able to: - Comprehend the fundamental principles of ChatGPT and its operational mechanisms. - Utilize ChatGPT to automate financial tasks, including data entry and report generation. - Analyze financial data using ChatGPT to derive insights and support informed decision-making. - Create custom ChatGPT models tailored for specific financial scenarios, ensuring alignment with public sector workflows and governance standards for government.

Generative AI encompasses a range of artificial intelligence methodologies designed to produce new content or predictions based on existing data. These techniques include Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (conducted online or onsite) is tailored for finance professionals at beginner to intermediate levels who seek to leverage generative AI for forecasting, anomaly detection, and compliance in financial services.

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

• Grasp the fundamental principles underlying generative AI models.
• Utilize LLMs and GANs for applications such as fraud detection and synthetic data generation.
• Develop effective prompts to support financial forecasting and reporting.
• Assess the ethical and regulatory implications of generative AI in financial contexts.

Format of the Course

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

Course Customization Options for Government

• To request a customized training program, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals and fintech developers who wish to utilize AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making for government. By the end of this training, participants will be able to: - Understand the foundational principles of prompt engineering in financial applications. - Utilize AI models for financial forecasting and market sentiment analysis. - Automate financial reporting and data extraction using AI-driven prompts. - Develop AI-powered risk assessment models through optimized prompts. - Ensure compliance with ethical standards and regulatory requirements when deploying AI in finance.

Artificial Intelligence (AI) is a robust set of techniques utilized to develop intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.

This instructor-led, live training (available online or on-site) is designed for intermediate-level finance professionals who aim to apply AI techniques in trading and asset management. The focus will be on signal generation, portfolio optimization, and algorithmic strategies.

By the end 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.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options for Government

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

Machine Learning is a subset of Artificial Intelligence that focuses on developing systems capable of learning from data and making predictions or decisions without explicit programming. This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who aim to apply machine learning and AI techniques to address real-world challenges such as fraud detection, credit scoring, and risk modeling in the financial sector. By the end of this training, participants will be able to: - Comprehend the fundamental machine learning concepts pertinent to finance. - 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 develop machine learning pipelines. **Format of the Course** - Interactive lectures and discussions - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options** - To request a tailored training program for government or other organizations, please contact us to arrange.

AI in Financial Services is a strategic enabler for reducing risk, enhancing customer experience, and improving operational efficiency. 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. The goal is to help participants understand how to responsibly and effectively implement AI solutions in their institutions. By the end of this training, participants will be able to: - Understand 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 for government and private sector applications. **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 a customized training for this course, please contact us to arrange.

Artificial Intelligence (AI) is a transformative tool for strategic financial risk prevention in banking. This instructor-led, live training (online or onsite) is aimed at executive-level banking professionals who wish to explore how AI can be strategically applied to detect fraud, manage risk, and drive innovation in financial institutions. By the end of this training, participants will be able to: - Understand the strategic role of AI in risk management and fraud detection. - Identify opportunities for AI implementation in banking risk processes. - Build business cases and lead AI-based transformation projects. - Evaluate AI models, ensure ethical deployment, and align with governance standards for government. **Format of the Course** - Interactive lecture and discussion. - Use of real-world banking case studies. - Strategic planning and project design workshops. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This comprehensive five-day training program is designed to equip participants with a thorough understanding of how artificial intelligence (AI) is transforming financial systems. Through a combination of theoretical instruction and practical applications, participants will delve into advanced AI techniques specifically tailored for the financial sector. By the end of the course, participants will have acquired the skills and insights necessary to effectively leverage AI technologies in financial decision-making processes, risk management, fraud detection, algorithmic trading, customer service, and other critical areas within financial institutions. This training aims to empower professionals with the expertise needed to navigate the evolving landscape of AI-driven finance and stay ahead in an increasingly competitive industry, ensuring alignment with public sector workflows, governance, and accountability for government operations.

AI for anti-fraud initiatives is a strategic approach to using artificial intelligence to enhance fraud detection and prevention in financial institutions. This instructor-led, live training (online or onsite) is designed for executive-level professionals who aim to lead, structure, and manage AI projects focused on fraud prevention within the banking sector. By the end of this training, participants will be able to: - Define and evaluate operational AI opportunities in fraud prevention. - Structure compelling business cases for AI implementation. - Establish scalable project frameworks and assign key roles. - Monitor, maintain, and optimize AI models for sustained impact. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** To request a customized training for this course, please contact us to arrange.

Artificial Intelligence (AI) is rapidly becoming the cornerstone of modern product management, transforming how we identify customer needs, define solutions, and make decisions. Just as electricity revolutionized industry, AI is reshaping the way products are developed, validated, and evolved. This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making processes. By the end of this training, participants will be able to: - Comprehend the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI). - Apply the seven preferred stances of a Product Owner, including the new Orchestrator stance, and leverage AI to enhance each role—such as Visionary, Experimenter, or Customer Representative. - Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized skills. - Deepen customer understanding by creating AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer engagement. - Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives. - Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts. - Support product decisions by utilizing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact. - Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work. - Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption for government and other sectors. - Identify and design valuable AI use cases tailored to the specific product and organizational context. - Explore and experiment with approximately 20 different AI tools and models—from productivity assistants and prototyping platforms to generative video, image, and coding solutions.