AI for Finance Training in Leon

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

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

Upon completion, participants will be equipped to:

• Comprehend the strategic role of AI in financial automation and fraud identification.
• Develop AI models specifically tailored for detecting fraudulent transactions.
• Utilize machine learning capabilities for real-time risk assessment.
• Implement AI-powered systems for continuous financial monitoring.

This instructor-led live training in Leon empowers finance practitioners and IT staff with the capabilities to implement Ollama locally. Participants will acquire the expertise to deploy, configure, and integrate large language models into secure financial workflows, adhering to compliance and automation best practices.

AI for Digital Products in Banking is a 40-hour program in Leon targeted at intermediate-level banking professionals. The curriculum encompasses the design of AI-enhanced digital products, agile development practices, and the creation of data-driven customer experiences. Participants acquire practical competencies to improve banking offerings through hands-on workshop engagements.

Learn how to harness the power of Copilot for Finance to optimize reporting and increase productivity. This instructor-led training in Leon provides professionals with practical AI skills to automate accounting tasks, generate financial reports, and extract valuable insights, significantly improving efficiency in your daily operations.

This live, instructor-led training in Leon empowers finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-compliant dashboards. Learners will develop practical skills in integrating data sources, maintaining audit compliance, and generating risk management reports to support effective decision-making.

This instructor-led training on Leon empowers professionals to craft LangGraph-based financial solutions. Learners will acquire the skills to implement workflows compliant with regulatory standards, integrate data standards, and deploy systems featuring robust governance, observability, and compliance controls.

This live, instructor-led training in Leon (online or onsite) is designed for finance professionals at an intermediate level, data analysts, risk managers, and AI engineers who want to utilize multimodal AI for analyzing risks and detecting fraud.

Upon completing this training, participants will be capable of:

• Understanding the application of multimodal AI in financial risk management.
• Analyzing both structured and unstructured financial data to detect fraud.
• Implementing AI models to identify anomalies and suspicious activities.
• Utilizing NLP and computer vision technologies for analyzing financial documents.
• Deploying AI-powered fraud detection models within real-world financial systems.

This instructor-led, live training in Leon (online or onsite) is designed for finance professionals looking to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.

Upon completing this training, participants will be able to:

• Understand the fundamentals of ChatGPT and its operational principles.
• 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 tailored to specific financial use cases.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level finance professionals and fintech developers who want to utilize AI-powered prompt engineering techniques to improve 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.
• Utilize AI models for financial forecasting and market sentiment analysis.
• Automate financial reporting and data extraction using AI prompts.
• Create AI-driven risk assessment models through optimized prompts.
• Ensure compliance and address ethical considerations when employing AI in finance.

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

Delve into the role of AI in finance through this course in Leon. Discover how Machine Learning is applied to risk management, fraud detection, and forecasting. Gain insights into AI's impact on banking, regulatory compliance, and the utilization of generative AI tools. Develop the competencies required to foster data-driven decision-making and innovation within your organization.

This intensive five-day training program is designed to provide participants with a profound understanding of how artificial intelligence (AI) is transforming financial systems. By combining theoretical foundations with practical applications, attendees will explore state-of-the-art AI techniques specifically adapted for the finance industry. Upon completion, participants will possess the necessary skills and insights 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 required to navigate the dynamic landscape of AI-driven finance and maintain a competitive edge in an increasingly demanding market.

Artificial Intelligence is quickly emerging as a cornerstone of contemporary product management, fundamentally altering the ways we identify customer requirements, design solutions, and drive strategic decisions. Much like the advent of electricity transformed industrial operations, AI is redefining the lifecycle of products, from initial construction and validation to ongoing evolution.

This live, instructor-facilitated course, available both online and on-site, is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to enhance their ownership responsibilities and bolster their decision-making capabilities.

Upon completing this program, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI systems and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator role, and utilize AI to reinforce each stance—whether as a Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting, viewing AI tools not just as utilities, but as intelligent partners with distinct specialized capabilities.
• Enhance insights into customer needs and develop AI-assisted personas for discovery and hypothesis testing, all while preserving genuine, authentic interactions with end-users.
• Craft and articulate a compelling product vision using structured methodologies such as the 3x3 Framework, employing AI to refine and visualize these narratives.
• Leverage Generative AI capabilities to speed up the prototyping and hypothesis validation processes, including the creation of mock-ups and conceptual product designs.
• Inform product strategy by deploying AI tools to assess, rank, and appraise features based on their value, feasibility, and potential user impact.
• Offload or automate recurring daily obligations—such as email management, stakeholder coordination, and meeting notes—through AI, thereby allowing for greater focus on strategic and creative endeavors.
• Facilitate informed dialogues regarding AI ethics, algorithmic bias, and data security to guarantee that AI integration remains both responsible and sustainable.
• Recognize and architect high-value AI applications that are specifically aligned with the product’s needs and the broader organizational environment.
• Experiment with and explore a wide array of approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping suites to generative video, image, and code generation solutions.