AI Tools for the Workday: Research, Texts, Slides and Images Training Course

This live, instructor-led training in Taiwan guides intermediate professionals in designing and scaling agentic AI solutions for business automation. Learn to map workflows, integrate tools, and construct practical use cases in customer service, supply chain, and marketing to ensure measurable business impact.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to use Artificial Intelligence in Project Management and Agile Methodologies to shift from manual coordination to data-driven orchestration. This category focuses on leveraging Machine Learning and Large Language Models to solve traditional "bottlenecks" in the software development lifecycle (SDLC). By applying AI to areas like GitOps, capacity planning, and requirements engineering, organizations can achieve higher precision in forecasting and significantly reduce the time spent on administrative overhead. This methodology helps teams focus on high-value creative work while AI handles the complexity of data processing and scenario planning.

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

• Understand the technical foundations of Transformers, LLMs, and SLMs.
• Critically evaluate AI tools based on cost, latency, data privacy, and vendor lock-in.
• Master advanced prompt engineering and RAG techniques for professional use.
• Integrate AI into the full Agile lifecycle, from ideation and backlog refinement to risk management.
• Identify and mitigate risks related to AI ethics, biases, hallucinations, and "model collapse."
• Apply "model-based problem solving" to complex engineering and management tasks.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to transform traditional architectural workflows into AI-native processes. Rather than replacing the architect's creativity, we focus on augmenting it - using Artificial Intelligence to handle repetitive tasks, accelerate conceptualization, and automate administrative burdens. The workshop bridges the gap between raw sketches and high-end professional presentations.

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

• Generate 3-5 conceptual variants in the time it previously took to create one.
• Perform independent high-end post-production on renderings, eliminating the need for external outsourcing for minor corrections.
• Utilize Multimodal AI (Gemini/GPT) to analyze complex legal building codes and technical documentation.
• Implement automated administrative workflows to recover a few hours of manual work per week.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to intermediate-level professionals from various departments who wish to learn how to efficiently use AI tools for daily tasks, saving time and improving productivity.

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

• Identify AI-powered tools suitable for different tasks.
• Automate repetitive processes to improve workflow efficiency.
• Leverage AI for better communication, reporting, and decision-making.
• Ensure responsible and ethical AI usage in the workplace.

This instructor-led, live training in Taiwan is aimed at: Mixed teams from business and IT.

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

• Find and prioritise AI use cases
• Build working prototypes in small teams
• Present results and next steps
• Take prototypes into the AI roadmap

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level administrative operatives who wish to have a basic understanding of AI and its applications in administrative tasks.

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

• Understand the basics of Artificial Intelligence (AI).
• Learn how AI can be integrated into daily administrative tasks.
• Improve efficiency in sending emails, conducting surveys, managing indicators, maintaining records, and performing manual validations through AI tools.

In today's fast-paced Financial Services Industry (FSI), adopting AI productivity tools is no longer optional—it is a baseline requirement for operational competitiveness. This program is designed to build organization-wide AI literacy, equipping employees across claims, underwriting, actuarial, strategy, and operations with safe, structured prompt engineering and automation techniques.

Course Format

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

Customization Options

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

This instructor-led, live training in Taiwan (online or onsite) targets intermediate to advanced developers and AI enthusiasts who wish to construct advanced AI workflows in n8n.

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

• Comprehend the integration of AI services with n8n workflows.
• Implement AI-driven decision-making within automated processes.
• Develop custom AI nodes and utilize pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows.

Explore how AI platforms like ChatGPT and Copilot can boost your efficiency in this live training held in Taiwan. Learn to automate routine tasks, optimize communication flows, and apply ethical standards. This course is ideal for beginners and managers looking to integrate AI safely into their daily operations.

This live, instructor-led training in Taiwan (available online or onsite) is tailored for senior managers and department heads who aim to build the necessary knowledge and strategic roadmap to begin implementing AI within their teams and business domains.

This instructor-led, live training in Taiwan (online or onsite) is designed for IT support professionals who aim to utilize AI tools and automation platforms to streamline support processes, standardize responses, and reduce the effort required for manual documentation.