Whether delivered online or on-site, our instructor-led Agentic AI training programs leverage interactive, hands-on exercises to demonstrate how autonomous decision-making systems can streamline task automation, enable data-driven decision-making, and enhance business process efficiency.
Agentic AI courses are offered as either "online live training" or "onsite live training." Online live training, also known as "remote live training," is conducted through an interactive remote desktop environment. Onsite live training can be provided at customer premises in Bangkok or at NobleProg corporate training centers located in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This instructor-led training in Bangkok delves into the world of generative and agentic AI, empowering you to develop and assess autonomous systems. Master prompt engineering, seamlessly integrate tools, and implement responsible, goal-focused agents to drive real-world productivity and intelligent automation.
This live training in Bangkok examines how agentic AI is redefining organizational workflows, talent strategies, and job design. Designed for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to ensure responsible and compliant AI adoption.
This instructor-led bootcamp in Bangkok provides a practical pathway to developing autonomous AI agents with Python. Participants will engage in five progressive projects that cover design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.
This practical course on Bangkok walks you through the process of deploying agentic AI on resource-constrained devices. You will learn to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately improving speed, privacy, and reliability.
This live, instructor-led program in Bangkok provides an introductory overview of agentic AI, examining prompt engineering, architectural design patterns, and ethical utilization. Learners will acquire the skills to construct basic agent workflows using Python, integrate external tools, and apply safety measures to ensure autonomous systems are effective, secure, and scalable.
This instructor-led, live training in Bangkok supports intermediate professionals in designing and scaling agentic AI solutions for business automation. Discover how to map workflows, integrate key tools, and construct practical use cases in customer service, supply chain, and marketing to ensure tangible business impact.
This live training in Bangkok empowers advanced professionals to design and build multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing, utilizing frameworks such as Mesa and Ray, and concludes with a practical capstone project.
This instructor-led session on Bangkok addresses reinforcement learning and strategic decision-making for agentic AI. Participants will implement DQN, PPO, and A3C via Python, model environments using OpenAI Gym, and integrate these methods into robotics and planning systems to achieve real-world adaptive performance.
This live training in Bangkok empowers advanced professionals with the competencies required to scale and operationalize agentic AI systems in production. It addresses MLOps, observability, and cost control, facilitating the design of resilient, observable, and cost-optimized pipelines for large-scale deployments.
This live, instructor-led course in Bangkok empowers BI professionals to modernize legacy systems using WrenAI. Learn to assess current environments, strategize the migration to conversational analytics, and drive change management initiatives that ensure successful adoption and measurable business impact.
Delivered as an instructor-led session in Bangkok, this training addresses governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, enforce least-privilege access, and perform adversarial testing to effectively mitigate real-world threats in production settings.
This live, instructor-led course at Bangkok focuses on practical Python implementation for autonomous AI agents. It explores modern SDKs such as LangChain and AutoGen, empowering engineers to build, integrate, and orchestrate complex agent workflows with assurance.
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 live, instructor-led training in Bangkok provides a deep dive into practical Python techniques for constructing autonomous agents. It addresses critical areas such as agent loops, tool integration, memory management, orchestration, and safety controls. Specifically designed for ML engineers, the focus remains on deploying reliable, production-grade agents.
This live, instructor-led training in Bangkok provides advanced professionals with the critical skills needed for WrenAI quality assurance. Participants will master the evaluation of NL-to-SQL accuracy, the application of prompt tuning, and the implementation of observability frameworks. This course is ideal for ensuring enterprise-level reliability and compliance.
Explore agentic AI in healthcare through this instructor-led program in Bangkok. Learn to design, evaluate, and govern agent workflows for clinical applications. Participants will construct retrieval-augmented agents, implement guardrails, and master governance via hands-on labs and scenario-based practice.
Tailored for intermediate AI developers and automation experts, this instructor-led live training (online or onsite) empowers you to embed agentic capabilities into your AI-powered solutions.
By the end of the program, you will be able to:
Comprehend the core mechanics of agentic AI and autonomous decision-making.
Construct goal-driven AI agents employing self-optimization methods.
Utilize multi-agent collaboration for intricate problem-solving.
Elevate AI-human engagement via adaptive user interfaces.
Implement agentic AI models in production environments.
This live, instructor-led training in Bangkok empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Participants will learn to create AI-driven reports, connect live data streams, and optimize workflows to enhance operational analytics and support efficient business reporting.
This instructor-led live training in Bangkok (online or onsite) is tailored for advanced-level professionals seeking to develop and refine multi-agent systems through Agentic AI frameworks.
By the end of the training, participants will have the capability to:
Comprehend the fundamental principles of Agentic AI in multi-agent contexts.
Create AI-driven agents that operate autonomously.
Utilize reinforcement learning to foster adaptive AI behaviors.
Optimize collaboration and competition among multiple agents.
Implement Agentic AI solutions in robotics, gaming, and enterprise automation.
This live, instructor-led training in Bangkok provides intermediate engineers with the essential skills to utilize the WrenAI API for practical applications. Participants will master generating SQL from natural language, building and embedding charts, and integrating the API into backend systems and internal workflows.
Delivered by expert instructors, this live training session in Bangkok (available online or onsite) is tailored for advanced professionals seeking to utilize Agentic AI for enterprise-grade automation and strategic adoption.
By the conclusion of this program, participants will be equipped to:
Comprehend the function of Agentic AI in enterprise settings.
Integrate autonomous AI agents into existing enterprise systems.
Enhance AI-driven workflows for improved scalability and efficiency.
Maintain compliance, security, and governance standards in AI automation.
Craft AI-powered business strategies to support digital transformation.
This practical training module in Bangkok guides data professionals through the process of configuring WrenAI Cloud, linking varied data sources, and structuring data for analytical purposes. Learners will acquire the skills to transform information and construct interactive dashboards that offer actionable business intelligence.
This instructor-led, live training in Bangkok (offered online or onsite) targets advanced professionals aiming to utilize Agentic AI for effective decision-making in intricate business and technical contexts.
By the conclusion of this program, learners will have the capability to:
Comprehend the core tenets of autonomous decision-making in AI.
Develop and deploy AI agents capable of operating with limited human input.
Embed Agentic AI into automation pipelines and enterprise systems.
Refine AI-driven decision processes to ensure high efficiency and scalability.
Uphold compliance, security, and ethical protocols in autonomous AI environments.
In Bangkok, master the creation of robust semantic layers and the optimization of text-to-SQL capabilities using WrenAI OSS. This advanced training for data and ML engineers focuses on prompt refinement, implementing guardrails, and integrating the tool into pipelines and analytics workflows to ensure consistent performance.
This live, instructor-led training in Bangkok (offered online or on-site) targets intermediate-level AI engineers, ML researchers, and developers aiming to construct and deploy Agentic AI systems in practical applications.
By the conclusion of this program, participants will be able to:
Comprehend the core principles of Agentic AI systems.
Engineer AI agents with autonomous reasoning and action capabilities.
Integrate Agentic AI with APIs and external third-party services.
Optimize interactions within multi-agent systems for complex tasks.
Tackle ethical, security, and scalability challenges associated with Agentic AI.
This live training in Bangkok assists SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products through its Embedded API. You will learn to configure white-label analytics, design secure multi-tenant deployments, and optimize performance while maintaining compliance within modern, scalable SaaS environments.
This live, instructor-led program, available Bangkok in either online or onsite formats, is designed for junior professionals seeking to master the core principles, capabilities, and industrial impact of Agentic AI.
By the conclusion of this course, attendees will be able to:
Grasp the essential principles underpinning Agentic AI.
Differentiate between standard AI models and autonomous AI agents.
Review industry-specific applications of Agentic AI.
Evaluate the pros and cons of integrating autonomous AI systems.
Analyze the ethical and security implications of Agentic AI.
This instructor-led training in Bangkok equips product teams with the skills to adopt WrenAI for conversational analytics. Participants learn to design reliable NL-to-SQL workflows, standardize metrics, and embed self-service BI dashboards directly into their daily product management processes.
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.
This one-day training delivers a practical framework for software engineers, technical leads, and development teams to effectively leverage AI coding agents within real-world software projects. Moving beyond simple prompting techniques, the course delves into the comprehensive agent ecosystem, covering context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback mechanisms, security protocols, and organizational adoption strategies.
As AI agents evolve from experimental demos into autonomous production systems spanning text, image, speech, and tool-driven workflows, the demand for engineering precision, adversarial resilience, and regulatory accountability grows significantly. This instructor-led training guides advanced practitioners through the complete agent lifecycle, from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behavior via modern frameworks. Through progressive hands-on Python labs, participants will construct a production-grade multi-agent system, subsequently stress-testing it with adversarial techniques and the Adversarial Robustness Toolbox. The curriculum concludes with alignment to NIST AI RMF, ISO/IEC 42001, EU AI Act, and GDPR, covering secure deployment, monitoring, and incident response, ensuring participants are equipped to deploy agents that are capable, defensible, and compliant.
This instructor-led, live training session in Bangkok (available online or onsite) is designed for beginner to intermediate developers and cloud professionals aiming to build AI agents on Alibaba Cloud that automate tasks, respond to queries, and integrate with business systems.
By the end of the session, participants will be able to understand AI agent architecture on Alibaba Cloud, construct basic agent workflows, connect agents to enterprise knowledge bases and tools, and deploy and monitor agents within a cloud environment.
This live, instructor-led training in Bangkok is tailored for intermediate developers aiming to design, build, and test AI agents using the Claude API and the Agent SDK.
By the conclusion of this training, participants will be equipped to:
Utilize the Messages API with system prompts, structured output, and streaming
Define tools and implement a robust tool-use loop
Link agents to external systems using MCP servers
Construct and deploy agents with the Claude Agent SDK, including handling permissions and subagents
Lower costs and latency through prompt caching and effective context handling
Test, log, and monitor agent behavior using a small evaluation set
Claude Cowork transitions from responding to single prompts by handling end-to-end tasks such as research, document preparation, and file operations. This course provides strategies for writing effective assignments, verifying execution plans, and assessing final results. Participants will delegate three practical tasks and set up a recurring scheduled job.
This live, instructor-led training in Bangkok is tailored for knowledge workers, assistants, and project or department leads who wish to assign complete workflows to Claude instead of engaging in step-by-step dialogue.
By the end of this training, participants will be able to:
Understand the distinction between chat-based interactions and delegated work in Cowork
Structure assignments with clear objectives, required materials, constraints, and acceptance criteria
Create documents, spreadsheets, and presentations sourced from a specific folder
Delegate research tasks from the initial question to a completed report
Utilize plugins, skills, and connectors within Cowork
Define approval milestones, backup procedures, and secure folder access policies
Course Format
Duration: 1 day (7 hours)
Interactive training including instructor-led discussions and hands-on exercises based on participants' own use cases
Day 1 Outcome: Each participant will have delegated three real tasks to Cowork, evaluated the results, and set up a scheduled task.
Customization Options
To request a customized training version of this course, please contact us for arrangements.
Business agents empower teams to address knowledge inquiries and streamline document workflows with precision and control. This intensive two-day program focuses on Agent Builder on the first day, followed by Copilot Studio on the second day, specifically covering approval workflows and test case management. By the conclusion of the course, participants will have developed a fully tested knowledge agent and a draft for a Studio-based agent.
This live, instructor-led training in Bangkok is designed for key users, AI champions, and department leaders who are eager to construct custom Copilot agents for handling knowledge questions and managing document processes.
Upon completing this training, participants will be equipped to:
Determine when Copilot Chat is sufficient versus when a dedicated agent is required
Create a knowledge agent in Agent Builder, defining the target audience, knowledge sources, and operational limits
Grasp the architecture of agents within Copilot Studio and initiate the creation of a first agent
Decompose document processes into manageable steps that incorporate human approval
Validate agents using specific test cases and defined acceptance criteria
Categorize roles, permissions, licensing requirements, and operational considerations
Course Format
Duration: Two days (seven hours per day)
Interactive sessions featuring trainer guidance, discussions, and hands-on exercises tailored to participants' specific use cases
Day 1 Outcome: Each participant will possess a tested knowledge agent and a tool map for their work scenarios
Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two tested process cases, and a roadmap for their own applications
Customization Options
Please contact us to arrange customized training options for this course.
Equip your teams with an intelligent assistant capable of answering questions regarding policies, manuals, and operational processes, while clearly citing source materials. This course guides you through the essential steps of document preparation, platform selection, no-code agent construction, and performance evaluation using a structured question catalog. Additionally, participants will develop a comprehensive maintenance strategy to ensure long-term success.
This live, instructor-led training session in Bangkok, available either online or onsite, is specifically designed for teams, knowledge custodians, and key users who aim to deliver accurate insights derived from their internal documents, policies, and procedural guides.
Upon completing this training, participants will be equipped to:
Grasp the fundamentals of Retrieval-Augmented Generation (RAG) in simple terms and identify the inherent limitations of AI-based document answering
Optimize document structure and content to ensure answer accuracy
Select the most suitable platform for implementing a knowledge agent
Develop and deploy a functional knowledge agent without writing any code
Validate response accuracy through a question catalog and traceable source references
Establish operational protocols for content maintenance, role assignments, and ensuring currency
Course Format
Duration: 1 day (7 hours)
An interactive learning experience featuring guided discussions and hands-on exercises tailored to each participant’s specific use cases
Day 1 Deliverable: Each participant will have deployed a shared knowledge agent integrated with their own documents, along with a measured hit rate and a defined maintenance plan.
Customization Options
Looking for a tailored training experience? Please contact us to discuss customizing this course for your needs.
Langdock integrates multiple AI models, intelligent assistants, organizational knowledge, and business workflows into a cohesive single platform. This course delves into practical daily chat operations, the creation and sharing of custom assistants, the connection of diverse knowledge sources, and the setup of workflows with built-in human approval. It also covers critical governance rules for data management, role assignment, and organizational rollout.
This live, instructor-led training in Bangkok is designed for: Departments and key users in organizations that are either adopting or already using Langdock as their central AI platform.
By the end of this session, participants will be capable of:
Confidently operating Langdock, encompassing chat interactions, model selection, assistant management, knowledge bases, and workflow automation.
Selecting the optimal model for various specific tasks.
Creating assistants with custom instructions and internal company knowledge, and sharing them effectively within teams.
Linking SharePoint, OneDrive, and other data sources to build a robust knowledge base.
Configuring simple workflows that include human approval checkpoints.
Defining internal policies for data usage, role permissions, and approval processes.
Course Format
Duration: Two days (seven hours each), alternatively available as four half-day online sessions.
Interactive training with a live trainer, featuring discussions and hands-on exercises tailored to participants' own use cases.
Day 1 Outcome: Each participant will have a reusable template, a configured knowledge folder, and a shared assistant for their specific area.
Day 2 Outcome: Each participant will have a functional workflow with approval steps, a connected knowledge source, and a 30 to 60-day action plan.
Customization Options
For a customized training experience, please contact us to arrange details.
This live, instructor-led training in Bangkok (delivered online or on-site) targets professionals with beginner to intermediate expertise who aspire to automate a real-world process and construct their first AI agent with Make in a single day.
By the conclusion of this session, participants will be able to:
Develop Make scenarios linked to routine business applications.
Incorporate AI models and an initial agent into a scenario.
Execute scenarios with robust error handling and continuous monitoring.
This live, instructor-led training session in Bangkok, offered either online or onsite, is designed for intermediate-level business professionals looking to create automated workflows and AI agents in n8n without writing code.
By the conclusion of the course, participants will be capable of:
Creating n8n workflows that integrate with everyday business applications.
Implementing AI models and agents that operate on internal company data.
Executing workflows in production environments, complete with error handling, approval mechanisms, and monitoring.
This live, instructor-guided training in Bangkok targets intermediate professionals eager to automate business workflows and develop their initial AI agent using Make.
By the conclusion of this session, attendees will be capable of:
Creating no-code workflows in Make that leverage triggers and webhooks.
Linking AI agents to internal data sources within a flow.
Implementing end-to-end process automation, complete with robust error handling and monitoring capabilities.
Deploy a personal AI agent that handles email sorting, appointment planning, briefing creation, and routine execution such as morning overviews. This one-day workshop demonstrates how to configure the agent with a dedicated personal context, secure connectors, and explicit rules governing approvals and data privacy. Participants will conclude the course with a functional agent and two operational routines.
This live, instructor-led training in Bangkok targets professionals, administrative support staff, project managers, and independent consultants who aim to adopt a personal AI agent for their professional responsibilities.
Upon completion, participants will be able to:
Identify the capabilities and limitations of a personal AI agent
Develop a structured personal context using profiles, instructions, and annotated notes
Leverage AI to optimize email and calendar management while maintaining supervisory control
Prepare for engagements using automatically generated briefings
Create automated workflows, including daily summaries and weekly reviews
Configure approval processes, data safeguards, and operational limits for the agent
Course Format
Duration: 1 day (7 hours)
Engaging interactive training combining instructor-led guidance, group discussion, and practical exercises applied to personal workflows
Day 1 Deliverable: Each participant will exit with a fully set-up agent, integrated email and calendar connections, and two running automated routines.
Customization Options
To explore customizing this course to your specific requirements, please contact our team to arrange a consultation.
This live, instructor-led training in Bangkok is tailored for managers, assistants, and knowledge workers.
Upon completion, participants will be equipped to:
Leverage AI to streamline email and calendar management
Accelerate meeting preparations and research tasks
Configure a personalized AI assistant tailored to individual preferences
Ensure the security of personal and corporate data
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Testimonials (5)
First most valuable: Practical data analysis tasks using AI without copy-pasting - but through my own application of what I learned.
Second most valuable: definition of terms that everyone uses (skills, agents, MCP, API). Now that I understand them, I feel much more confident in trying AI
Third: your input on how AI works, what it can do, what it can't (I will remember your 80/20 rule forever).
Fourth: Having everything you taught us in written and accessible form.
Lieven Hofmann - Transport & Environment
Course - Hands-On Agentic AI Bootcamp: Build 5 Real Projects in Python
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Autonomous Decision-Making with Agentic AI
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