AI for Finance Training in Bangkok

This instructor-led live training held in Bangkok focuses on AI governance and strategic risk management within the financial sector. The curriculum emphasizes ethical considerations, regulatory frameworks, and the establishment of effective oversight mechanisms. Learners will acquire the skills necessary to harmonize AI strategies with both compliance standards and broader organizational goals.

This instructor-led live training in Bangkok (online or onsite) 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.

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

• Understand the role of AI in financial automation and fraud detection.
• Construct AI models for detecting fraudulent transactions.
• Apply machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

This live, instructor-led training in Bangkok empowers finance practitioners and IT staff with the necessary skills to deploy Ollama locally. Participants will learn to integrate large language models into secure financial workflows, while adhering to compliance standards and automation best practices.

AI for Digital Products in Banking is a 40-hour training in Bangkok for intermediate banking professionals. It covers AI-powered digital product design, agile development, and data-driven customer experiences. Participants gain practical skills to enhance banking products through hands-on workshops.

Explore how to utilize Copilot for Finance to optimize reporting and increase output. This guided course in Bangkok provides professionals with hands-on AI skills to automate accounting routines, build financial reports, and derive insights, thereby improving overall workflow efficiency.

This instructor-led program in Bangkok enables finance professionals to utilize WrenAI for KPI modeling and the creation of regulatory-conscious dashboards. Learners will acquire practical skills in integrating diverse data sources, maintaining audit compliance, and generating risk management reports to support informed decision-making.

This instructor-led training in Bangkok empowers professionals to architect LangGraph-based financial solutions. Participants will gain the skills to implement regulatory-compliant workflows, integrate data standards, and deploy systems characterized by strong governance, observability, and compliance mechanisms.

This instructor-led live training, held in Bangkok (either online or onsite), is tailored for intermediate-level finance professionals, data analysts, risk managers, and AI engineers who aim to utilize multimodal AI for risk analysis and fraud detection.

By the conclusion of this training, participants will possess the ability to:

• Understand the application of multimodal AI in financial risk management.
• Analyze structured and unstructured financial data to detect fraud.
• Implement AI models for identifying anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.

Delivered by expert instructors, this live training session in Bangkok (available either online or on-site) is specifically designed for finance professionals seeking to optimize their operational workflows and enhance their analytical and reporting proficiency using ChatGPT.

Upon successful completion of this program, participants will be equipped to:

• Grasp the fundamental principles of ChatGPT and its underlying operational mechanisms.
• Utilize ChatGPT to automate key financial processes, including data entry and the generation of financial reports.
• Leverage ChatGPT to analyze financial data, extract actionable insights, and support evidence-based decision-making.
• Construct customized ChatGPT models tailored to specific financial application scenarios.

This live, instructor-led training, conducted in Bangkok either online or onsite, is tailored for intermediate finance professionals and fintech developers aiming to integrate AI-powered prompt engineering techniques to strengthen financial analysis, risk management, and strategic decision-making.

By the conclusion of this course, participants will be equipped to:

• Master the foundational aspects of prompt engineering within financial applications.
• Deploy AI models for precise financial forecasting and market sentiment evaluation.
• Automate financial reporting and data extraction processes via AI prompts.
• Formulate AI-driven risk assessment models using optimized prompting strategies.
• Maintain compliance and uphold ethical standards when deploying AI in financial services.

This 5-day course in Bangkok equips finance professionals with advanced analytics, AI-assisted Python, and agentic AI skills. Learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

Delve into the intersection of AI and finance in this Bangkok course. Discover how Machine Learning is applied to risk management, fraud detection, and forecasting. Gain clarity on AI's role in banking, regulatory compliance, and the use of generative AI tools. Acquire the skills needed to foster data-driven decision-making and drive innovation.

This intensive five-day workshop is crafted to provide participants with a profound grasp of how artificial intelligence (AI) is transforming the financial landscape. By combining theoretical foundations with hands-on applications, learners will investigate advanced AI methodologies specifically adapted for the financial sector. Upon completion, participants will possess the requisite skills and insights to effectively utilize AI technologies in key areas such as financial decision-making, risk management, fraud detection, algorithmic trading, and customer service within financial institutions. The program is dedicated to empowering professionals with the expertise needed to navigate the rapidly evolving terrain of AI-driven finance, ensuring they remain at the forefront of a highly competitive industry.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management—fundamentally altering how we identify customer needs, craft solutions, and make strategic decisions. Much like the industrial revolution driven by electricity, AI is transforming the ways products are designed, validated, and iterated.

This live, instructor-guided training session, available either online or on-site, is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to harness the power of AI to enhance their product ownership capabilities and refine their decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner—including the newly introduced Orchestrator stance—and leverage AI to reinforce each role, such as Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting techniques, viewing AI tools as skilled collaborators rather than mere utilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine human connection with users.
• Articulate a clear product vision using structured models like the 3x3 Framework, utilizing AI to refine and visualize narrative structures.
• Employ Generative AI to speed up prototyping and hypothesis validation, including the creation of mock-ups and product concepts.
• Facilitate product decisions by using AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine operational tasks—such as email management, stakeholder coordination, and note-taking—via AI, allowing more time for strategic and creative endeavors.
• Guide conversations surrounding AI ethics, bias, and data security to ensure responsible and sustainable implementation.
• Pinpoint and craft meaningful AI use cases that align with specific product goals and organizational contexts.
• Explore and test approximately 20 diverse AI tools and models, ranging from productivity aids and prototyping platforms to generative video, image, and coding solutions.