AI for Finance Training in Gaia

This instructor-led live training in Gaia focuses on AI governance and strategic risk management within financial services. It emphasizes ethical implications, regulatory frameworks, and the construction of robust oversight mechanisms. Participants will learn to align AI strategies with compliance requirements and organizational goals.

This live, instructor-led training in Gaia—delivered online or on-site—targets intermediate-level financial professionals, risk analysts, and AI engineers aiming to develop and deploy AI-driven solutions for financial automation and fraud detection.

By the end of the session, 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.

This live, instructor-led training in Gaia empowers finance professionals and IT staff with the ability to implement Ollama locally. Attendees will learn to deploy, configure, and integrate large language models into secure financial workflows, while applying best practices for compliance and automation.

The AI for Digital Products in Banking course is a 40-hour training program in Gaia tailored for intermediate banking professionals. It addresses the design of AI-powered digital products, agile development practices, and data-centric customer experiences. Through practical workshops, participants acquire the skills necessary to strengthen banking products.

This instructor-led course on Gaia equips finance professionals with the skills to model KPIs and design regulation-aware dashboards using WrenAI. Learners will develop practical competencies in integrating data sources, ensuring audit compliance, and creating risk management reports to support effective decision-making.

This instructor-led training in Gaia equips professionals to design LangGraph-based finance solutions. Participants learn to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls.

This instructor-led, live training in Gaia (online or on-site) 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.

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

• Comprehend how multimodal AI is applied in financial risk management.
• Analyse structured and unstructured financial data to detect fraud.
• Implement AI models to identify anomalies and suspicious activities.
• Utilise NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models within real-world financial systems.

This instructor-led, live training in Gaia (online or onsite) is designed for finance professionals who wish to use 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 its operational mechanics.
• Leverage ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data using ChatGPT to derive insights and make informed decisions.
• Develop custom ChatGPT models tailored to specific financial use cases.

This instructor-led, live training in Gaia (available online or onsite) is designed for intermediate-level finance professionals and fintech developers who wish to apply 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:

• Grasp the fundamentals of prompt engineering within financial applications.
• Utilise 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 optimised prompts.
• Ensure compliance and address ethical considerations when employing AI in finance.

This five-day course on Gaia empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimise GL operations, and design autonomous workflows to support financial analysis, reporting, and strategic decision-making.

Delve into the role of AI in finance through this course based in Gaia. Explore Machine Learning applications for risk management, fraud detection, and forecasting. Gain insight into AI within banking, regulatory compliance, and the use of generative AI tools. Acquire the skills needed to drive data-driven decision-making and foster innovation.

This intensive five-day training program is designed to provide participants with a profound understanding of how artificial intelligence (AI) is transforming financial systems. Combining theoretical foundations with practical applications, the course explores advanced AI techniques specifically adapted for the financial sector. Upon completion, participants will possess the skills and insights required to effectively utilize AI technologies in key areas such as financial decision-making, risk management, fraud detection, algorithmic trading, customer service, and other vital functions within financial institutions. This course empowers professionals with the expertise needed to navigate the rapidly changing landscape of AI-driven finance and maintain a competitive edge in an increasingly dynamic industry.

Artificial Intelligence is swiftly becoming the backbone of contemporary product management, fundamentally altering how we uncover customer needs, design solutions, and drive strategic decisions. Much like the advent of electricity transformed industrial capabilities, AI is redefining the lifecycle of product creation, validation, and evolution.

This live, instructor-led training—available both online and on-site—is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to enhance product ownership and reinforce decision-making processes.

Upon completing this program, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between conventional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, while utilizing AI to bolster each stance—whether acting as a Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting, treating AI tools as skilled, intelligent collaborators rather than mere utilities.
• Deepen insights into customer behaviour by creating AI-assisted personas for discovery and hypothesis testing, all while preserving genuine, direct customer engagement.
• Craft and articulate a clear product vision using structured methodologies such as the 3x3 Framework, using AI to refine and visualise strategic narratives.
• Accelerate prototyping and hypothesis testing by deploying Generative AI tools to generate mock-ups and conceptual product ideas.
• Inform product decisions by leveraging AI to analyse, prioritise, and assess features based on value, feasibility, and user impact.
• Delegate or automate routine operational tasks—such as email management, stakeholder coordination, and note-taking—allowing more time to focus on strategic and creative initiatives.
• Facilitate informed discussions on AI ethics, bias, and data security, ensuring that AI adoption remains responsible and sustainable.
• Identify and craft high-value AI use cases that are precisely aligned with specific product requirements and organisational contexts.
• Experiment with approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.