AI Agents Training in Busan

This instructor-led, live training in Busan (online or onsite) is designed for advanced-level AI engineers, robotics developers, and automation specialists looking to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Comprehend the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents to enhance decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

Autonomous AI agents are increasingly embedded in decision-making processes across diverse sectors, including defense, healthcare, finance, and infrastructure. As these systems evolve with greater independence and autonomy, there is a pressing need for robust ethical frameworks, governance structures, and regulatory oversight to guide their design and deployment.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals seeking to explore the ethical, societal, and regulatory implications of deploying autonomous AI agents in real-world environments.

Upon completing this training, participants will be equipped to:

• Analyze the ethical risks and moral dilemmas presented by autonomous AI agents.
• Evaluate governance frameworks and regulatory models pertinent to high-stakes AI deployment.
• Assess accountability, explainability, and transparency mechanisms within autonomous systems.
• Develop strategies to align AI agent behavior with legal, ethical, and societal values.

Course Format

• Interactive lectures and discussions.
• Case studies and role-playing simulations.
• Hands-on analysis of governance models and ethical frameworks.

Customization Options

• For customized training arrangements, please contact us directly.

AI-driven automation merges the adaptability of no-code platforms with the intelligence of large language models and autonomous agents to build scalable, intelligent systems.

This instructor-led live training (available online or onsite) targets intermediate professionals aiming to design, develop, and optimize automation pipelines equipped with AI decision-making, orchestration, and self-execution features.

Upon completing this training, participants will be able to:

• Design no-code automation workflows enhanced by AI interpretation and response capabilities.
• Utilize prompt chaining, webhook triggers, and APIs to construct scalable logic flows.
• Develop intelligent applications that autonomously connect services and interpret data.
• Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.

Course Format

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

Course Customization Options

• For customized training on this course, please contact us to arrange.

This instructor-led, live training in Busan (online or onsite) is tailored for intermediate-level AI developers, security specialists, and compliance officers who seek to design and implement secure AI agents while addressing ethical concerns and robustness.

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

• Comprehend the security risks and ethical challenges associated with AI agent development.
• Apply security-first design principles to AI models.
• Utilize adversarial robustness techniques to safeguard AI agents against attacks.
• Guarantee adherence to ethical AI guidelines and regulatory standards.

This practical course on Edge & Lightweight Agents focuses on deploying agentic AI workloads on devices with limited resources. Participants will learn to build, optimize, and manage lightweight agents capable of performing local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed environments. The curriculum emphasizes performance tuning, low-latency design, and effective hardware–software integration.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals aiming to implement and optimize on-device agentic systems using Python and edge AI frameworks.

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

• Grasp the architecture and challenges associated with running agentic AI on edge devices.
• Design lightweight agent loops tailored for constrained environments.
• Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
• Integrate agents with sensors, actuators, and IoT platforms.
• Optimize performance, energy consumption, and latency for real-time operations.

Course Format

• Interactive lectures combined with practical demonstrations.
• Hands-on development in local or emulated environments.
• Project-based learning supported by guided implementation exercises.

Customization Options

• To request customized training for this course, please contact us to arrange the details.

This instructor-led live training in Busan (online or onsite) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Busan (online or onsite) is designed for beginner to intermediate developers and designers who want to understand and build AI-powered personal assistants for diverse use cases.

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

• Grasp the core principles of AI-powered personal assistants.
• Learn the fundamentals of integrating language models with smart assistants.
• Build and customize a personal assistant using AI frameworks and tools.
• Deploy personal assistants for real-world applications across various industries.

This instructor-led, live training in Busan (online or onsite) targets advanced-level AI engineers, enterprise software developers, and business leaders seeking to customize and deploy LLM-based AI agents for enterprise applications.

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

• Grasp the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for specific enterprise use cases.
• Deploy AI agents leveraging LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led live training in Busan (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists who aim to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

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

• Grasp the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance strategies.
• Develop robotic systems that collaborate effectively with humans.
• Deploy AI-powered perception and control systems within robots.

This program delves into the design, coordination, and implementation of multi-agent systems (MAS) utilizing Python. Participants will acquire the skills to construct agents that communicate, collaborate, and adapt to meet shared goals within complex and dynamic environments.

This instructor-led, live training, available either online or onsite, targets advanced professionals seeking to design and implement multi-agent systems for intelligent automation, simulation, and decision-making applications.

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

• Grasp the architecture and foundational principles of multi-agent systems.
• Create agents capable of communication, coordination, and negotiation.
• Establish distributed environments for agent interactions.
• Apply reinforcement learning and planning techniques within multi-agent contexts.
• Simulate both cooperative and competitive agent behaviors.
• Design hybrid workflows that integrate humans with intelligent agents.

Course Format

• Instructor-led lectures accompanied by live demonstrations.
• Practical exercises utilizing open-source agent frameworks.
• A collaborative group project simulating a multi-agent scenario.

Course Customization Options

• For customized training on this course, please contact us to arrange your schedule.

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

By the end of this training, 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 instructor-led, live training in Busan (online or on-site) is designed for beginner to intermediate customer service professionals, chatbot developers, and automation teams aiming to implement AI-driven solutions for customer support and service automation.

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

• Understand the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots to manage customer inquiries.
• Utilize NLP and machine learning to improve chatbot interactions.
• Deploy AI agents in real-world customer service applications.

This instructor-led, live training in Busan (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

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

• Understand the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in Busan (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

Mistral AI provides a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic systems.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced professionals aiming to build, deploy, and manage AI agents utilizing Mistral's Medium 3, Le Chat Enterprise, and Devstral models.

Upon completion of this training, participants will be capable of:

• Grasping the architecture and key capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Designing and implementing AI agents tailored for enterprise and developer scenarios using Mistral models.
• Integrating coding systems, connectors, and enterprise data into agent workflows.
• Enhancing performance, managing costs, and ensuring compliance for agents powered by Mistral.

Course Format

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

Customization Options

• For customized training arrangements, please contact us.

Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation by leveraging modern SDKs and frameworks, such as LangChain and AutoGen, to build, connect, and manage complex agent workflows.

This instructor-led, live training (available online or onsite) is designed for intermediate-level backend, platform, and ML engineers looking to implement and orchestrate autonomous agents using Python-based tooling and APIs.

Upon completing this training, participants will be equipped to:

• Establish and configure Python environments tailored for agentic systems.
• Utilize prominent agent SDKs, including LangChain and AutoGen, to develop functional agents.
• Integrate tools and APIs to expand agent capabilities.
• Orchestrate multi-agent workflows and establish communication patterns.
• Apply best practices for debugging, testing, and maintaining agentic codebases.

Course Format

• Interactive lectures and discussions.
• Hands-on programming exercises and live demonstrations.
• Practical projects focused on building end-to-end agent workflows.

Course Customization Options

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

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

This course provides practical engineering techniques for designing, building, testing, and deploying agentic (autonomous) systems using Python. It explores key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level ML engineers, AI developers, and software engineers who want to build robust, production-ready autonomous agents using Python.

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

• Design and implement the agent loop and decision-making workflows.
• Integrate external tools and APIs to extend agent capabilities.
• Implement short-term and long-term memory architectures for agents.
• Coordinate multi-step orchestrations and agent composability.
• Apply safety, access control, and observability best practices for deployed agents.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs building agents with Python and popular SDKs.
• Project-based exercises that produce deployable prototypes.

Course Customization Options

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

This instructor-led, live training in Busan (online or onsite) is designed for advanced-level professionals who want to master the techniques for deploying and managing AI agents in production environments.

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

• Design and implement scalable AI deployment pipelines.
• Use tools such as Docker and Kubernetes to containerize and orchestrate AI agents.
• Monitor and optimize AI agents in production environments.
• Implement CI/CD workflows for AI agent deployments.
• Ensure compliance with security and data governance requirements.

This instructor-led, live training in Busan (online or onsite) is designed for advanced-level AI professionals aiming to master reinforcement learning techniques and apply them to train AI agents capable of solving complex problems.

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

• Grasp the core principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms, including Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Leverage frameworks such as OpenAI Gym and various RL libraries for practical use cases.
• Train AI agents to address real-world, multi-step decision-making challenges.
• Tackle common RL training issues, such as the exploration-exploitation trade-off and convergence problems.

This instructor-led live training in Busan (online or onsite) is tailored for intermediate-level AI developers and automation specialists who wish to incorporate agentic capabilities into AI-powered applications.

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

• Understand the principles of agentic AI and autonomous decision-making.
• Implement goal-driven AI agents with self-optimization techniques.
• Integrate multi-agent collaboration for complex problem-solving.
• Enhance AI-human interaction through adaptive user experiences.
• Deploy agentic AI models in real-world applications.

This instructor-led, live training in Busan (online or onsite) is designed for advanced AI professionals seeking to master the skills necessary to design, build, and deploy MAS solutions that address complex, real-world challenges.

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

• Grasp the fundamental principles of multi-agent system architectures.
• Implement effective strategies for communication, coordination, and decision-making within MAS.
• Apply game theory concepts to model agent interactions and resolve conflicts.
• Leverage frameworks such as JADE to develop scalable MAS solutions.
• Address critical challenges including scalability, trust, and emergent behavior in MAS.

This instructor-led, live training in Busan (online or onsite) is designed for advanced professionals seeking to develop and optimize multi-agent systems using Agentic AI frameworks.

Upon completing this training, participants will be able to:

• Grasp the principles of Agentic AI within multi-agent environments.
• Create AI-driven agents capable of autonomous interaction.
• Utilize reinforcement learning to enable adaptive AI behaviors.
• Enhance collaboration and manage competition among multiple agents.
• Apply Agentic AI solutions in robotics, gaming, and enterprise automation.

This instructor-led, live training in Busan (online or onsite) is aimed at intermediate-level business analysts, RPA developers, and AI professionals who wish to harness the power of AI agents for business process automation.

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

• Understand the role of AI agents in business process automation.
• Identify opportunities for automation in key business domains.
• Develop AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrate AI agents with existing RPA and business systems.
• Evaluate and optimize AI automation strategies for efficiency.

Vertex AI Agent Builder provides a no-code/low-code environment for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This capability enables teams to swiftly develop agents that leverage enterprise data and search functionalities to deliver precise, contextually aware responses.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder alongside RAG architectures.

Upon completing this training, participants will be equipped to:

• Architect grounded agent workflows through Agent Builder.
• Construct RAG pipelines utilizing search indices and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and optimizing agents.

Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led, live training in Busan (online or onsite) is designed for intermediate-level game developers and AI enthusiasts aiming to effectively integrate AI agents into gaming applications.

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

• Comprehend the role of AI agents in modern gaming.
• Build decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms like A* for in-game navigation.
• Utilize reinforcement learning techniques to develop adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

Large language models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming the way DevOps teams automate critical tasks like change tracking, test generation, and alert triage by emulating human-like collaboration and decision-making processes.

This instructor-led, live training (available online or onsite) is designed for advanced-level engineers who aim to design and implement DevOps automation workflows powered by large language models (LLMs) and multi-agent systems.

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

• Integrate LLM-based agents into CI/CD workflows to enable intelligent automation.
• Automate test generation, commit analysis, and change summaries using agent-driven tools.
• Coordinate multiple agents to triage alerts, generate responses, and provide actionable DevOps recommendations.
• Construct secure and maintainable agent-powered workflows utilizing open-source frameworks.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live-lab environment.

Customization Options

• For organizations seeking customized training for this course, please contact us to arrange tailored sessions.

This instructor-led, live training in Busan (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

This instructor-led, live training in Busan (online or onsite) targets intermediate-level professionals who wish to delve deeper into the design and development of autonomous agents for practical applications.

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

• Understand the foundational concepts of autonomous agents.
• Explore real-world applications of autonomous AI agents.
• Design, train, and implement agents using reinforcement learning.
• Integrate agents into existing systems for automation and decision-making.
• Address ethical considerations and challenges in deploying autonomous agents.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Busan (online or onsite) is designed for professionals at the beginner level who want to grasp the workings of AI agents and create their own interactive chatbot systems.

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

• Grasp the fundamentals of AI agents and their practical applications.
• Investigate the core principles of natural language processing (NLP).
• Design conversational flows for a chatbot.
• Create a functional chatbot using Python and associated tools.
• Deploy the chatbot to engage with real users.

This instructor-led live training in Busan (online or on-site) is designed for beginner-level professionals who wish to understand and create simple AI agents for real-world applications.

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

• Understand the fundamental concepts of AI agents.
• Identify different types of AI agents and their applications.
• Design and implement basic AI agents for practical tasks.
• Explore tools and frameworks for building AI agents.

This instructor-led, live training in Busan (online or onsite) is aimed at beginner-level / intermediate-level developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer questions, and connect with business systems.

By the end of this training, participants will be able to: understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, deploy and monitor an agent in a cloud environment.

This advanced, hands-on seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams seeking to understand how Artificial Intelligence can accelerate the entire software delivery lifecycle, from initial requirements analysis to production-ready code.

This instructor-led, live training in Busan (online or on-site) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led, live training in Busan (online or onsite) is designed for software developers and DevOps teams seeking to use OpenAI Codex CLI to automate coding tasks, review code, and execute multi-step workflows from the terminal.

By the end of this training, participants will be able to install and configure Codex CLI, execute tasks through natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

This instructor-led, live training in Busan (online or onsite) is targeted at developers seeking to use GitHub Copilot Agent Mode to autonomously build features, execute tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

This instructor-led, live training in Busan (online or onsite) is aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.

This instructor-led, live training in Busan (online or onsite) is aimed at intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents with RAG, workflow automation, and operational guardrails.

Upon completion of this training, participants will be able to: design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production guardrails.

This instructor-led, live training in Busan (online or onsite) is aimed at beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilize tools, and process business data.

By the end of this training, participants will be able to explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This instructor-led live training in Busan (online or onsite) targets developers and DevOps professionals who wish to utilize Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, utilize over 40 built-in tools, and deploy it on various backends.

This instructor-led live training in Busan (online or onsite) is designed for business users, operations teams, and technical professionals who want to use Hermes Agent to automate work, create reusable AI-driven processes, and boost team productivity.

By the end of this training, participants will be able to explain Hermes Agent basics, set up and utilize core features, build practical workflows, and apply best practices for operational efficiency.

This instructor-led live training in Busan (online or onsite) is aimed at developers who wish to use Hermes Agent to design and run secure local AI workflows for code assistance.

By the end of this training, participants will be able to: explain Hermes Agent concepts, set up secure local agent environments, build practical coding workflows, and apply safety and governance controls.

This instructor-led, live training at Busan (online or onsite) is aimed at developers and technical teams who wish to use Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to install and configure Ollama, evaluate and run open models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls for regulated environments.

This instructor-led, live training in Busan (online or onsite) is aimed at backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.

This instructor-led, live training in Busan (online or on-site) is aimed at beginner, intermediate, or advanced AI professionals who wish to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to explain MCP concepts, identify key architecture components, set up a basic integration, and apply security best practices.

This instructor-led live training in Busan (online or onsite) is designed for beginner to intermediate developers and technical teams seeking to utilize OpenAI APIs to construct AI agents that can reason, employ tools, and execute complex multi-step tasks.

By the end of this training, participants will be able to design agent workflows, integrate tools with external data, manage context and responses, and test agents for business implementation.

This instructor-led, live training in Busan (online or onsite) targets intermediate to advanced-level developers and technical professionals who wish to use OpenClaw to build and run practical AI agents that automate work through chat and tool integrations.

By the end of this training, participants will be able to install and configure OpenClaw, connect an LLM provider, use and adapt skills for automation, and apply basic security and operational guardrails.

This instructor-led, live training in Busan (online or onsite) targets senior developers who wish to use Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led live training in Busan (online or onsite) is designed for developers who want to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.

By the end of this training, participants will be able to explain Pi Coding Agent concepts, set up and use the tool effectively, apply it to practical coding tasks, and adopt safe team workflows.

This instructor-led, live training in Busan (online or onsite) is designed for developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.