Agentic AI Training in Hanoi

This live training in Hanoi examines how agentic AI is reshaping organizational workflows, talent strategies, and job design. Tailored for intermediate professionals, the course covers autonomous decision-making, enterprise readiness, and governance frameworks to facilitate responsible and compliant AI adoption.

This instructor-led bootcamp in Hanoi provides a practical pathway for building autonomous AI agents using Python. Participants will complete five sequential projects that address design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This hands-on course in Hanoi walks you through deploying agentic AI on resource-constrained devices. Learn to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, boosting speed, privacy, and reliability.

This live, instructor-led session in Hanoi provides an introduction to agentic AI, addressing prompt engineering, design methodologies, and ethical usage. Learners will gain 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 Hanoi guides intermediate professionals on designing and scaling agentic AI for business automation. Learn to map workflows, integrate tools, and build practical use cases in customer service, supply chain, and marketing, ensuring measurable impact.

This live training in Hanoi empowers advanced professionals to design and deploy 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 hands-on capstone project.

This instructor-led training in Hanoi focuses on reinforcement learning and decision-making within agentic AI. Participants will implement DQN, PPO, and A3C algorithms using Python, model environments with OpenAI Gym, and apply these techniques to robotics and planning systems to achieve real-world adaptive behavior.

This live session in Hanoi empowers senior professionals to scale and operationalize agentic AI systems in live production environments. The curriculum addresses MLOps, observability, and cost governance, facilitating the creation of resilient, transparent, and economically optimized pipelines for large-scale implementations.

This live, instructor-led training in Hanoi assists BI professionals in modernizing legacy systems with WrenAI. Participants will learn to assess existing environments, strategize the migration to conversational analytics, and drive change management initiatives to guarantee successful adoption and tangible business value.

This instructor-led training in Hanoi focuses on governance, identity management, and red-teaming for agentic AI systems. Advanced practitioners will learn to design secure deployments, implement least-privilege access, and execute adversarial testing to effectively mitigate real-world threats in production environments.

This instructor-led, live training in Hanoi centers on the practical application of Python in building autonomous AI agents. By exploring modern SDKs such as LangChain and AutoGen, it empowers engineers to confidently design, integrate, and manage sophisticated agent workflows.

This instructor-led training in Hanoi enables finance professionals to leverage WrenAI for KPI modeling and the creation of regulatory-aware dashboards. Participants will develop practical skills in integrating data sources, maintaining audit compliance, and constructing risk management reports to support effective decision-making.

This live, instructor-led training in Hanoi explores practical Python techniques for constructing autonomous agents, covering agent loops, tool integrations, memory management, orchestration, and safety controls. Ideal for ML engineers, it emphasizes the deployment of robust, production-ready agents.

This live, instructor-led course in Hanoi empowers advanced professionals with the essential skills required for WrenAI quality assurance. Learners will master the evaluation of NL-to-SQL precision, the application of prompt optimization, and the deployment of observability frameworks. It is ideal for ensuring enterprise-level reliability and compliance.

This live, instructor-led training in Hanoi (available online or onsite) targets intermediate-level AI developers and automation specialists looking to integrate agentic capabilities into AI-powered applications.

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

• Grasp the core principles of agentic AI and autonomous decision-making.
• Build goal-oriented AI agents using self-optimization methods.
• Set up multi-agent collaboration to tackle complex problems.
• Improve interactions between AI and humans through adaptive user experiences.
• Deploy agentic AI models in practical, real-world scenarios.

This live, instructor-led training in Hanoi assists operations professionals in mastering WrenAI Spreadsheets and the Metrics Library. Participants will learn to create AI-driven reports, integrate live data, and optimize workflows to enhance operational analytics and foster efficient business reporting.

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

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

• Comprehend the principles of Agentic AI in multi-agent environments.
• Build AI-driven agents that interact autonomously.
• Implement reinforcement learning to enable adaptive AI behavior.
• Optimize collaboration and competition dynamics among multiple agents.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This instructor-led live training in Hanoi empowers intermediate engineers with the expertise to utilize the WrenAI API for practical implementations. Learners will master the skills to generate SQL from natural language, construct and embed charts, and integrate the API into backend systems and internal tools.

This instructor-led live training in Hanoi (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Understand the role of Agentic AI in enterprise applications.
• Integrate autonomous AI agents with enterprise systems.
• Optimize AI-driven workflows for scalability and efficiency.
• Ensure compliance, security, and governance in AI automation.
• Develop AI-driven business strategies for digital transformation.

Located in Hanoi, this practical training supports data professionals in configuring WrenAI Cloud, linking varied data sources, and organizing data for analytical purposes. Learners will gain the skills to transform raw information into interactive dashboards that provide actionable business intelligence.

This instructor-led, live training session in Hanoi (available online or on-site) is tailored for advanced-level professionals aiming to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Grasping the core principles behind autonomous decision-making in AI.
• Designing and deploying AI agents that function with minimal human oversight.
• Seamlessly integrating Agentic AI into automation workflows and business infrastructure.
• Enhancing AI-driven decision processes to achieve greater efficiency and scalability.
• Ensuring that AI autonomy adheres to compliance, security standards, and ethical guidelines.

In Hanoi, master the creation of robust semantic layers and the optimization of text-to-SQL capabilities using WrenAI OSS. Designed for advanced data and ML engineers, this training covers prompt tuning, guardrail enforcement, and seamless pipeline integration to ensure dependable performance in analytics workflows.

This instructor-led, live training in Hanoi (online or onsite) is designed for intermediate-level AI engineers, ML researchers, and developers who aim to build and implement Agentic AI systems for real-world applications.

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

• Understand the core principles of Agentic AI systems.
• Implement AI agents capable of autonomous reasoning and action.
• Integrate Agentic AI with APIs and third-party services.
• Optimize multi-agent interactions for complex tasks.
• Address ethical, security, and scalability challenges in Agentic AI.

This instructor-led, live training in Hanoi (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries.

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

• Understand the core principles of Agentic AI.
• Differentiate between traditional AI and autonomous AI agents.
• Explore real-world applications of Agentic AI in various industries.
• Assess the benefits and challenges of deploying autonomous AI systems.
• Analyze the ethical and security considerations of Agentic AI.

This 5-day course in Hanoi empowers finance professionals with advanced analytics, AI-assisted Python, and agentic AI skills. Participants will learn to construct intelligent dashboards, optimize GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision support.

This one-day course provides software engineers, technical leads and development teams with a practical framework for working effectively with AI coding agents in real-world software projects. Rather than focusing on prompting techniques alone, the course explores the complete agent ecosystem, including context engineering, reusable workflows, MCP (Model Context Protocol) integrations, feedback loops, security and organisational adoption.

AI agents are transitioning from experimental research prototypes to robust production systems that operate autonomously across text, image, speech, and tool-driven workflows. This shift demands higher standards for engineering rigor, resilience against adversarial attacks, and regulatory compliance. This instructor-led program guides advanced professionals through the entire agent lifecycle, covering everything from designing single and multi-agent architectures to integrating multi-modal perception and coordinating agent behaviors using modern frameworks. Through progressive Python-based hands-on labs, participants will construct a production-ready multi-agent system, which they then rigorously stress-test employing adversarial techniques and the Adversarial Robustness Toolbox. The curriculum concludes with an in-depth focus on alignment with NIST AI RMF, ISO/IEC 42001, the EU AI Act, and GDPR, alongside secure deployment strategies, continuous monitoring, and incident response protocols. By the end of the course, participants will be equipped to deploy agents that are not only capable and defensible but also fully compliant.

This instructor-led live training in Hanoi (online or onsite) targets beginner to intermediate-level developers and cloud practitioners who wish to utilize 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 understand the architecture of AI agents on Alibaba Cloud, construct a simple agent workflow, link an agent to enterprise knowledge and tools, and deploy and monitor an agent within a cloud environment.

This live, instructor-led training located in Hanoi is tailored for intermediate-level developers who aim to design, build, and test AI agents using the Claude API and the Agent SDK.

By the end of this program, participants will have the ability to:

• Interact with the Messages API using system prompts, structured outputs, and streaming
• Define tools and establish a reliable tool-use loop
• Connect agents to external systems via MCP servers
• Construct and operate agents with the Claude Agent SDK, including managing permissions and subagents
• Lower costs and reduce latency through prompt caching and optimized context handling
• Verify, log, and monitor agent performance using a concise evaluation suite

Claude Cowork shifts the paradigm from answering single prompts to managing end-to-end workflows, such as research, document creation, and file management. This course focuses on crafting effective task briefs, validating execution plans, and auditing outcomes. Attendees will delegate three practical assignments and configure automated recurring tasks.

This live, instructor-led session in Hanoi is designed for knowledge workers, administrative support, and project or department leaders seeking to outsource complete tasks to Claude rather than engaging in iterative dialogue.

Upon completion, participants will be equipped to:

• Distinguish between interactive chat and delegated execution within Cowork
• Construct comprehensive task briefs including objectives, inputs, constraints, and success metrics
• Generate documents, spreadsheets, and presentations from source folders
• Manage the full research cycle, from inquiry to final reporting
• Leverage plugins, skills, and integrations within the Cowork environment
• Establish approval gates, backup protocols, and secure folder permissions

Training Format

• Duration: 1 day (7 hours)
• Interactive workshop featuring facilitator-led discussions and hands-on exercises tailored to participants' specific use cases
• Deliverable, Day 1: Each attendee will have delegated three real-world tasks to Cowork, assessed the outputs, and configured a scheduled automation

Customization

• Contact us to discuss options for tailoring this training to your organizational needs.

These agents empower teams to address knowledge-based inquiries and streamline document workflows within a controlled environment. This intensive two-day workshop focuses on Agent Builder on the first day, followed by Copilot Studio, where approval mechanisms and test cases are explored on the second day. By the end of the session, participants will have a fully tested knowledge agent and a draft for a Studio agent.

This live, instructor-led training in Hanoi is specifically designed for key users, AI champions, and department leaders seeking to develop custom Copilot agents for knowledge retrieval and document processing.

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

• Determine when Copilot Chat suffices versus when a dedicated agent is required
• Develop a knowledge agent in Agent Builder by defining the audience, knowledge sources, and operational limits
• Comprehend the architecture of a Copilot Studio agent and build a foundational version
• Decompose document processes into discrete steps that include human approval checkpoints
• Validate agents using structured test cases and defined acceptance criteria
• Categorize roles, permissions, licensing requirements, and operational considerations

Course Format

• Duration: Two days, seven hours per day
• Interactive learning featuring guided 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 outlining their work scenarios.
• Day 2 Outcome: Each participant will have a draft Studio agent with approval features, two validated process cases, and a roadmap for their specific applications.

Customization Options

• Please contact us to arrange a tailored training session for this course if you require custom content.

An AI assistant leveraging company documentation can address questions about policies, manuals, and processes while explicitly identifying the source. This course demonstrates how to prepare content, select a platform, construct the agent without code, and assess performance using a question catalog. Participants will also draft a maintenance plan.

This live, instructor-led training in Hanoi is targeted at: Teams, knowledge owners, and key users who aim to provide answers sourced from their own documents, policies, and manuals.

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

• Understand the mechanism by which AI generates answers from documents (a simple overview of RAG) and recognize its boundaries.
• Prepare documents to facilitate accurate responses.
• Select the appropriate platform for a knowledge agent.
• Build and distribute a knowledge agent using no-code methods.
• Verify response accuracy through a question catalog and source references.
• Define maintenance protocols, roles, and content currency standards for ongoing operations.

Course Format

• Duration: One day (7 hours)
• Interactive training with a trainer, featuring discussions and hands-on exercises applied to participants' own use cases.
• Outcome by the end of Day 1: Each participant will possess a shared knowledge agent on their own documents, a measured hit rate, and a maintenance plan.

Customization Options

• To request a customized training version of this course, please reach out to us for coordination.

Langdock unifies various AI models, assistants, organizational knowledge, and workflows into a single platform for enterprises. This course covers daily operational tasks such as chatting, building and sharing assistants, linking knowledge sources, and establishing workflows with human checkpoints. It also defines best practices for data governance, role management, and rollout strategies.

This instructor-led, live training in Hanoi is tailored for departments and key users in companies that leverage or are implementing Langdock as a central AI solution.

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

• Confidently manage Langdock’s features, including chat, model selection, assistants, knowledge bases, and workflows
• Pick the right model for each specific task
• Create and share assistants equipped with specific instructions and company knowledge
• Connect SharePoint, OneDrive, and other platforms to form a central knowledge repository
• Design simple workflows that include human approval stages
• Set organizational standards for data handling, user roles, and approval processes

Course Format

• Length: Two days (7 hours daily), with an option for four half-day online modules
• Engaging live sessions with trainers, collaborative discussions, and practical exercises using your own scenarios
• Day 1 Result: A personal template, a knowledge folder, and a shared assistant for your specific area of responsibility
• Day 2 Result: A live workflow with approval logic, a connected data source, and a roadmap for the following 30–60 days

Customization Options

• Reach out to us to arrange a customized version of this training

This live, instructor-led training on Hanoi (accessible online or on-site) targets beginner to intermediate professionals aiming to automate a real-world process and build their first AI agent with Make within a single day.

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

• Design Make scenarios integrated with common business applications.
• Incorporate AI models and an initial agent into a scenario.
• Operate scenarios with robust error handling and monitoring capabilities.

This live, instructor-led training in Hanoi (available online or onsite) is designed for intermediate-level business professionals seeking to create automated workflows and AI agents in n8n without coding.

Upon completion, participants will be able to:

• Create n8n workflows integrated with everyday business applications.
• Implement AI models and agents that operate on corporate data.
• Execute workflows in daily operations, incorporating error handling, approvals, and monitoring.

This live, instructor-led training in Hanoi is tailored for intermediate professionals looking to automate business operations and create their first AI agent using Make.

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

• Design no-code workflows in Make featuring triggers and webhooks.
• Link AI agents to their data sources within a flow.
• Automate real-world processes from start to finish, including error management and monitoring.

A personal AI agent is capable of triaging emails, organizing appointments, creating briefings, and executing scheduled routines like a morning digest. This one-day course guides you through setting up an agent with a personalized context, necessary connectors, and explicit rules for approval and data security. By the end of the session, participants will have a operational agent and two functioning routines.

This live, instructor-led training in Hanoi is specifically designed for professionals, assistants, project managers, and self-employed individuals looking to implement a personal AI agent for their professional tasks.

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

• Understand the scope of tasks a personal AI agent can handle and those it cannot
• Build a personalized context using profiles, instructions, and notes
• Manage email and calendar using AI without relinquishing control
• Prepare for appointments and conversations with automated briefings
• Implement routines such as a morning overview and a weekly review
• Define approval processes, data protection standards, and limits for their own agent

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, including discussions and hands-on exercises focused on participants' own use cases
• Outcome, Day 1: Each participant will have a set up personal agent with a profile, a connected mailbox and calendar, and two running routines.

Course Customization Options

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

This live, instructor-led training session in Hanoi targets managers, assistants, and knowledge workers.

Upon completion, participants will be equipped to:

• Utilize AI to manage email and calendar more efficiently
• Speed up meeting preparation and research activities
• Create a customized assistant based on personal preferences
• Ensure the security of personal and company data