Online Natural Language Processing (NLP) Training in Taiwan

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

This live training session in Taiwan empowers healthcare professionals and IT teams to deploy Ollama for local LLMs. Discover how to seamlessly integrate AI into clinical workflows, adapt models for specialized tasks, and uphold stringent data privacy and regulatory standards within secure healthcare environments.

This practical training in Taiwan is geared toward intermediate and advanced professionals seeking to develop, launch, and oversee AI agents. Participants will learn to utilize Mistral Medium 3, Le Chat Enterprise, and Devstral to create robust solutions for enterprise and developer needs, with a focus on integrating connectors, RAG patterns, and compliance standards.

This live training in Taiwan focuses on embedding Mistral conversational assistants into enterprise workflows. Participants will gain the skills to connect SaaS tools, implement retrieval-augmented generation, and create effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led course in Taiwan guides beginners in applying Claude AI to enhance customer support and service operations. Through practical, hands-on exercises, participants will learn to automate triage, draft responses with appropriate tone, and embed AI capabilities into their existing workflows.

This live Mistral Responsible AI training in Taiwan is specifically curated for compliance and security leaders. You will gain proficiency in privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO, ensuring the secure and compliant deployment of AI solutions.

This live Claude AI training in Taiwan empowers professionals to utilize the platform for data analysis and BI tasks. It covers exploratory data analysis, SQL generation, and dashboard design through natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

Gain the skills to build multimodal applications leveraging Mistral models, with a focus on OCR, document understanding, and vision-text search. This hands-on training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered either online or at Taiwan.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

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

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level researchers, analysts, and knowledge workers who aim to utilize Claude AI to process vast amounts of data, synthesize information, and automate research workflows.

Upon completing this training, participants will be able to:

• Employ Claude AI to conduct literature reviews and synthesize research.
• Summarize reports, academic papers, and extensive documents.
• Extract pivotal insights and trends from both structured and unstructured data.
• Integrate Claude AI into existing research and knowledge management processes.

This instructor-led training in Taiwan is designed for ML engineers looking to master the self-hosting and fine-tuning of Devstral and Mistral models. Learners acquire practical skills in governance, monitoring, and compliance to confidently deploy open-source AI in production settings.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials.

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

• Use Claude AI for content brainstorming and idea expansion.
• Enhance writing with AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for different platforms.

This instructor-led, live training in Taiwan (online or onsite) is designed for advanced professionals who wish to fine-tune and customize AI models on Ollama for improved performance and domain-specific applications.

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

• Establish an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimize AI models to enhance performance, accuracy, and efficiency.
• Deploy customized models in production settings.
• Assess model improvements and ensure robustness.

Master cost-effective Mistral LLM architectures through this 14-hour live training in Taiwan. Learn how to deploy, optimize, and scale Mistral Medium 3 to achieve peak throughput at minimal cost, leveraging batching, quantization, and efficient serving strategies for enterprise-grade workloads.

This instructor-led, live training in Taiwan (online or onsite) is designed for advanced-level professionals who aim to implement secure and efficient AI-driven workflows using Ollama.

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

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimize AI performance while maintaining data privacy.
• Automate business processes using on-premise AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level software developers and AI engineers who aim to integrate Claude AI into their applications, develop AI-powered chatbots, and enhance software functionality through AI-driven automation.

Upon completing this training, participants will be able to:

• Utilize the Claude AI API to integrate AI into applications.
• Develop AI-driven chatbots and virtual assistants.
• Enhance applications with AI-powered automation and natural language processing (NLP).
• Optimize and fine-tune Claude AI models for various use cases.

This live training in Taiwan focuses on Le Chat Enterprise, a private ChatOps solution for secure and governed conversational AI. Learners will gain the skills to deploy, configure, and integrate the platform with enterprise applications, enabling RBAC, SSO, and compliance-driven controls to establish scalable and secure AI workflows.

Gain mastery over Devstral in this live training session conducted in Taiwan. The curriculum covers architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on labs to build coding agents that elevate both productivity and security within contemporary development environments.

This instructor-led, live training in Taiwan (online or onsite) targets beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve efficiency and automation.

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

• Use Claude AI for automating repetitive tasks and streamlining workflows.
• Enhance personal and team productivity using AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimize AI-driven decision-making and task management.

This instructor-led, live training in Taiwan (online or onsite) targets intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.

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

• Set up and deploy LLMs using Ollama.
• Optimize AI models for enhanced performance and efficiency.
• Leverage GPU acceleration to improve inference speeds.
• Integrate Ollama into existing workflows and applications.
• Monitor and maintain AI model performance over time.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

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

• Establish a development environment with LLMs and essential tools.
• Expertly perform NLU and NLI tasks with LLMs.
• Extract, infer, and utilize knowledge graphs effectively.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate content quality and diversity generated by LLMs and generative AI.
• Apply ethical principles, ensuring fairness and responsible use of LLMs.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level professionals seeking to elevate their NLP projects through the effective fine-tuning of pre-trained language models.

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

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimize hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led course in Taiwan empowers senior AI engineers to deploy and secure Mistral Medium 3 effectively. Learn to optimize inference expenses, build multimodal solutions, and enforce enterprise-grade compliance. The curriculum includes hands-on labs covering both API and self-hosted configurations.

This instructor-led live training in Taiwan (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.

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

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama for running local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimize performance and resource usage for AI workloads.
• Explore use cases for local AI deployment in various industries.

This two-day course is designed for developers who are already utilizing AI coding tools like Cursor, Claude Code, or Copilot. The curriculum focuses on delegating comprehensive tasks to agents, constructing a personalization stack (including Rules, AGENTS.md, Skills, MCP, and Agents), establishing and building MCP servers, executing agents in parallel, and implementing structured agentic workflows. The course materials are tool-agnostic and serve as a continuation of the Foundations course.

An introductory two-day workshop on AI-assisted software development for those encountering these tools for the first time, including those with limited coding experience. It covers the operational mechanics of these tools, prompt engineering techniques, and their application to common workflows: creating a small project from the ground up, integrating into an existing codebase, and assessing the results. The material is tool-agnostic and relevant to Cursor, Claude Code, Copilot, and comparable tools. It prepares learners for the Agentic AI Development: Advanced Workflows course.

This two-phase training initiative is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations leveraging Claude Code.

This course provides Artificial Intelligence technical training in Taiwan, covering data analysis, distributed machine learning, and natural language processing to help developers build large-scale intelligent systems. The content delves into practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures, empowering professionals to transform raw data into automated decision-making pipelines deployable in production environments, thereby comprehensively enhancing core capabilities for building intelligent systems.

This instructor-led, live training in Taiwan is designed for intermediate-level developers seeking to design, build, and test AI agents utilizing the Claude API and the Agent SDK.

By the end of the session, participants will be equipped to:

• Execute the Messages API using system prompts, structured output, and streaming
• Define tools and create a robust tool-use loop
• Link agents to external systems via MCP servers
• Develop and deploy agents with the Claude Agent SDK, including permission management and subagents
• Minimize cost and latency through prompt caching and optimal context handling
• Test, log, and monitor agent behavior using a compact evaluation set

This live, instructor-led training in Taiwan is tailored for intermediate to advanced developers and tech leads who aim to configure and scale Claude Code for reliable team-wide usage.

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

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with defined roles and tool access
• Write hooks that automatically enforce formatting, tests, and safety rules
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems through MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and critically review its output

This live, instructor-led session in Taiwan is tailored for: Business professionals seeking to develop basic internal utilities and rapid prototypes.

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

• Articulate a concise tool description that enables AI to generate the application
• Create a functional prototype using Lovable
• Leverage Claude Code to develop straightforward utility scripts with guided instruction
• Identify scenarios where a prototype requires handoff to a professional developer

Conducted by an instructor in Taiwan, this live training is tailored for: Knowledge workers and managers looking to assign end-to-end tasks to Claude.

By the end of the session, participants will be equipped to:

• Understand the independent capabilities of Claude Cowork
• Delegate research, document, and file management tasks
• Plan, audit, and improve delegated work
• Recognize limitations and apply safe usage guidelines

Claude Cowork manages comprehensive tasks like research, document creation, and file management, moving beyond simple prompt-and-response interactions. This course demonstrates how to craft effective task briefs, validate plans, and assess final outputs. Participants will delegate three practical assignments and configure a recurring task.

This instructor-led live training in Taiwan is designed for: Knowledge workers, administrative assistants, and project or department leads who aim to delegate complete workflows to Claude rather than engaging in step-by-step conversations.

Upon completing this training, participants will be able to:

• Distinguish between conversational chat and delegated work within Cowork
• Structure task briefs including goals, materials, constraints, and acceptance criteria
• Generate documents, spreadsheets, and presentations from a directory
• Delegate research from the initial inquiry to the final report
• Leverage plugins, skills, and connectors in Cowork
• Establish approval checkpoints, backups, and secure folder access

Course Format

• Duration: 1 day (7 hours)
• Interactive training featuring a trainer, discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have delegated three real-world tasks to Cowork, reviewed the results, and set up a scheduled task.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Ollama is an open-source tool designed to run large language models locally on consumer and enterprise hardware. It streamlines the processes of model quantization, GPU allocation, and API serving into a single command-line interface. This allows organizations to self-host LLMs like Llama, Mistral, and Qwen, ensuring that prompts and data are not transmitted to OpenAI, Anthropic, or Google.