Agentic AI Training in Bhutan

This live session in Bhutan investigates how agentic AI is redefining organizational workflows, talent strategies, and job design. Tailored for intermediate professionals, the course covers autonomous decision-making, enterprise preparedness, and governance frameworks to foster responsible and compliant AI adoption.

This instructor-led bootcamp in Bhutan provides a practical pathway to developing autonomous AI agents in Python. Participants complete five sequential projects covering design patterns, API orchestration, and multi-agent workflows, bridging the gap between theory and real-world deployment.

This hands-on course in Bhutan walks you through the process of deploying agentic AI on resource-limited devices. You will learn to build, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, thereby improving speed, privacy, and operational reliability.

This live, instructor-led course in Bhutan provides an introduction to agentic AI, focusing on prompt engineering, architectural patterns, and responsible implementation. Learners will gain the skills to create simple agent workflows using Python, integrate external tools, and apply safety measures to build autonomous systems that are effective, secure, and scalable.

This instructor-led, live training in Bhutan guides intermediate professionals in designing and scaling agentic AI for business automation. Participants will learn to map workflows, integrate systems, and build practical use cases in customer service, supply chain, and marketing to ensure measurable impact.

This live training in Bhutan empowers advanced professionals to design and implement multi-agent systems using Python. The curriculum covers agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a practical hands-on capstone project.

This instructor-led program in Bhutan focuses on reinforcement learning and decision-making for agentic AI. Participants will build DQN, PPO, and A3C models using Python, create environment simulations with OpenAI Gym, and apply these techniques to robotics and planning systems to achieve real-world adaptive behavior.

This live training in Bhutan empowers advanced professionals to scale and operationalize agentic AI systems in production settings. It addresses MLOps, observability, and cost control, enabling the creation of resilient, observable, and cost-optimized pipelines for large-scale deployments.

This live, instructor-led training in Bhutan assists BI professionals in modernizing legacy systems with WrenAI. Participants will evaluate current environments, strategize migrations towards conversational analytics, and spearhead change management initiatives to drive successful adoption and tangible business impact.

This instructor-led training in Bhutan 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 conduct adversarial testing to mitigate real-world threats in production settings.

This live, instructor-led training in Bhutan emphasizes practical Python applications for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, empowering engineers to confidently build, connect, and orchestrate intricate agent workflows.

This instructor-led training in Bhutan equips finance professionals with the ability to use WrenAI for KPI modeling and the design of regulatory-compliant dashboards. Learners will acquire practical skills in integrating data sources, maintaining audit compliance, and developing risk management reports to support effective decision-making.

This instructor-led live training in Bhutan focuses on practical Python techniques for creating autonomous agents. Key topics include agent loops, tool integrations, memory management, orchestration, and safety controls. Ideal for ML engineers, the course emphasizes deploying robust, production-ready agents.

This instructor-led program for Bhutan empowers senior professionals with critical skills for WrenAI quality assurance. Learners will gain the ability to verify NL-to-SQL accuracy, apply advanced prompt tuning, and deploy observability frameworks. It is ideal for organizations aiming to maintain enterprise-grade reliability and compliance.

Delve into agentic AI in healthcare through this instructor-led training in Bhutan. Acquire the skills to design, evaluate, and govern agent workflows for clinical scenarios. Learners will construct retrieval-augmented agents, implement guardrails, and master governance principles via hands-on labs and scenario-based tasks.

This instructor-led, live training in Bhutan (online or onsite) targets intermediate-level AI developers and automation specialists who wish to integrate 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 live, instructor-led training in Bhutan empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Discover how to create AI-enabled reports, integrate live data feeds, and optimize workflows to boost operational analytics and enhance the efficiency of business reporting.

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

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

• Comprehend the fundamental principles of Agentic AI in multi-agent environments.
• Develop AI-driven agents that interact autonomously.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

This live, instructor-led training in Bhutan empowers intermediate engineers with the practical skills to utilize the WrenAI API. Learners will master the generation of SQL from natural language, the creation and embedding of charts, and the integration of the API within backend systems and internal tools.

This instructor-led, live training in Bhutan (online or onsite) is designed for advanced professionals who aim to leverage Agentic AI for enterprise-scale automation and strategic AI adoption.

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

• Comprehend 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.

This practical training module in Bhutan walks data professionals through the essential steps of configuring WrenAI Cloud, integrating varied data sources, and structuring data for analytics. Learners will acquire the skills to transform raw information into interactive dashboards that yield actionable business intelligence.

This instructor-led, live training in Bhutan (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.

In Bhutan, acquire the skills to build resilient semantic layers and optimize text-to-SQL using WrenAI OSS. Designed for advanced data and ML engineers, this training covers prompt tuning, guardrail implementation, and smooth integration into pipelines and analytics workflows to ensure dependable performance.

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

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

• Grasp the fundamental principles underlying Agentic AI systems.
• Develop AI agents capable of autonomous reasoning and independent action.
• Integrate Agentic AI solutions with APIs and third-party services.
• Enhance multi-agent interactions to handle complex tasks efficiently.
• Navigate and resolve ethical, security, and scalability challenges inherent in Agentic AI.

This live training in Bhutan assists SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products through its Embedded API. You will gain the ability to configure white-label analytics, design secure multi-tenant architectures, and optimize performance while upholding compliance standards in modern, scalable SaaS environments.

This instructor-led, live training in Bhutan (online or onsite) is designed for beginner-level professionals who wish to grasp the fundamental concepts of Agentic AI, its capabilities, and its potential impact on various industries.

Upon completing this training, participants will be equipped to:

• Comprehend the foundational principles of Agentic AI.
• Distinguish between conventional AI and autonomous AI agents.
• Examine real-world applications of Agentic AI across diverse industries.
• Evaluate the advantages and obstacles associated with deploying autonomous AI systems.
• Analyse the ethical and security implications of Agentic AI.

This instructor-led training in Bhutan 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 five-day course in Bhutan empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to build intelligent dashboards, streamline GL operations, and design autonomous workflows to support financial analysis, reporting, and strategic decision-making.

This one-day program equips software engineers, technical leads, and development teams with a hands-on framework for effectively leveraging AI coding agents in practical software projects. Instead of concentrating solely on prompting strategies, the course examines the entire agent ecosystem, covering context engineering, reusable workflows, Model Context Protocol (MCP) integrations, feedback loops, security measures, and organizational adoption.

AI agents are transitioning from experimental prototypes to robust production systems that operate autonomously across text, image, speech, and tool-driven workflows. This evolution demands heightened standards for engineering precision, resilience against adversarial threats, and regulatory compliance. Designed by industry experts, this instructor-led programme guides advanced practitioners through the complete agent lifecycle—from designing single and multi-agent architectures to integrating multi-modal perception and orchestrating coordinated behaviours using contemporary frameworks. Through progressive Python-based labs, participants construct a production-grade multi-agent system, which is then rigorously stress-tested using adversarial methodologies and the Adversarial Robustness Toolbox. The curriculum concludes with alignment to NIST AI RMF, ISO/IEC 42001, EU AI Act, and GDPR standards, alongside secure deployment strategies, monitoring protocols, and incident response planning, empowering participants to deliver agents that are capable, defensible, and compliant.

This instructor-led live training in Bhutan (online or onsite) targets beginner to intermediate developers and cloud practitioners who wish to utilize Alibaba Cloud to build AI agents that automate tasks, answer queries, and integrate with business systems.

By the end of this training, participants will be able to: comprehend the architecture of AI agents on Alibaba Cloud, construct a basic agent workflow, connect an agent to enterprise knowledge bases and tools, and deploy and monitor an agent within a cloud environment.

This instructor-led live training in Bhutan is tailored for intermediate developers looking to design, build, and test AI agents using the Claude API and Agent SDK.

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

• Utilise the Messages API with system prompts, structured outputs, and streaming
• Define tools and implement a dependable tool-use loop
• Link agents to external systems via MCP servers
• Create and run agents using the Claude Agent SDK, including permissions and subagents
• Lower costs and latency through prompt caching and prudent context handling
• Test, log, and monitor agent behaviour using a small evaluation set

Claude Cowork handles end-to-end tasks, such as research, document creation, and file operations, moving beyond the traditional prompt-response model. This course guides you on how to create robust assignments, oversee execution plans, and evaluate the results. Learners will delegate three practical tasks and configure a scheduled automation.

This instructor-led, live training in Bhutan targets knowledge workers, assistants, and project or department heads who prefer to delegate complete workflows to Claude instead of conversing step by step.

Upon completion, participants will be able to:

• Differentiate between conversational chat and delegated tasks in Cowork
• Draft assignments that clearly outline goals, resources, limitations, and success criteria
• Automate the creation of documents, spreadsheets, and presentations from designated folders
• Delegate the full research cycle, from initial questions to the final report
• Utilize plugins, skills, and connectors within the Cowork environment
• Set up approval gates, backup strategies, and secure access permissions for folders

Course Structure

• Duration: 1 day (7 hours)
• Interactive learning involving a trainer, discussions, and practical exercises based on participants’ own scenarios
• Day 1 Deliverable: Each learner will have delegated three real tasks to Cowork, assessed the outcomes, and established a scheduled task.

Customization

• Interested in a customized version of this training? Please reach out to arrange the details.

AI agents empower teams to address knowledge queries and streamline document workflows with precision. This two-day program focuses on Agent Builder on Day 1 and delves into Copilot Studio on Day 2, emphasizing approval mechanisms and rigorous testing. Participants will conclude the course with a validated knowledge agent and a comprehensive draft of a Studio agent.

Designed for key users, AI champions, and department heads, this live, instructor-led training in Bhutan guides participants through creating custom Copilot agents for answering knowledge questions and managing document processes.

Upon completion, participants will be equipped to:

• Determine the appropriate use cases for Copilot Chat versus a dedicated agent
• Develop a knowledge agent in Agent Builder, defining audience, knowledge sources, and boundaries
• Grasp the architecture of Copilot Studio agents and build their first agent
• Deconstruct document workflows into reviewable steps that include human oversight
• Validate agents through test cases and clear acceptance criteria
• Categorize roles, permissions, licensing requirements, and operational aspects

Course Structure

• Duration: 2 days (7 hours per day)
• Interactive sessions with a trainer, featuring discussions and hands-on exercises tailored to participants' specific business scenarios
• Day 1 Outcome: Participants will possess a tested knowledge agent and a strategic tool map for their work scenarios.
• Day 2 Outcome: Participants will leave with a draft Studio agent featuring approvals, two verified process cases, and a roadmap for their use cases.

Customization Options

• For tailored training needs, please contact us to discuss customization options.

An assistant trained on company documents can answer questions regarding policies, manuals, and processes while citing the original source. This course guides you through preparing documentation, selecting a platform, building the agent without coding, and evaluating its responses using a question catalog. Additionally, participants will develop a maintenance plan.

This instructor-led, live training session in Bhutan is designed for: Teams, knowledge owners, and key users seeking to generate insights from their own documents, policies, and manuals.

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

• Grasp how AI generates answers from documents (a simple explanation of RAG) and understand its limitations
• Prepare documentation to ensure accurate answers
• Select the most suitable platform for a knowledge agent
• Create and share a knowledge agent without writing code
• Validate answers using a question catalog and source references
• Define maintenance procedures, roles, and content currency in an operational context

Course Format

• Duration: 1 day (7 hours)
• Interactive training featuring a trainer, discussions, and hands-on exercises based on participants' specific use cases
• Outcome, Day 1: Each participant will have a shared knowledge agent built on their own documents, a measured accuracy rate, and a comprehensive maintenance plan.

Customization Options

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

Langdock unifies various AI models, assistants, enterprise knowledge, and workflows into a single platform. This course addresses daily operational practices, including chat interactions, creating and sharing assistants, linking knowledge sources, and setting up workflows with human validation. It also covers the essential rules for data governance, role management, and rollout strategies.

This live, instructor-led training in Bhutan is tailored for departments and key users in companies that utilize or are implementing Langdock as their central AI platform.

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

• Proficiently operate Langdock, encompassing chat, models, assistants, knowledge bases, and workflows
• Select the optimal model for each specific task
• Develop assistants using custom instructions and company knowledge, and distribute them within the team
• Connect SharePoint, OneDrive, and other sources to build a comprehensive knowledge base
• Establish simple workflows incorporating human approval steps
• Formulate corporate rules for data management, roles, and approval processes

Course Structure

• Duration: 2 days (7 hours per day), also available as 4 half-day online sessions
• Interactive training with a trainer, including discussions and hands-on exercises based on participants' own use cases
• Day 1 Outcome: Each participant will possess a template, a knowledge folder, and a shared assistant for their specific area.
• Day 2 Outcome: Each participant will have a functional workflow with approvals, a connected knowledge source, and a plan for the next 30 to 60 days.

Customization Options

• To request a customized version of this course, please contact us to make arrangements.

This instructor-led, live training in Bhutan (online or on-site) caters to beginner to intermediate-level professionals aiming to automate a real-world process and build their first AI agent with Make within one day.

Upon completing this training, participants will be capable of:

• Creating Make scenarios that integrate with daily business applications.
• Incorporating an AI model and an initial agent into a scenario.
• Executing a scenario equipped with error handling and monitoring capabilities.

This live, instructor-led training in Bhutan—delivered online or onsite—is tailored for intermediate-level business professionals who want to build automated workflows and AI agents in n8n without coding.

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

• Create n8n workflows that integrate with daily business applications.
• Implement AI models and agents that operate on proprietary company data.
• Manage workflows in live operations, incorporating error handling, approval workflows, and monitoring.

This live, instructor-led training in Bhutan is designed for intermediate-level professionals who aim to streamline business processes and develop their initial AI agent using Make.

By the conclusion of this training, participants will be capable of:

• Creating no-code workflows in Make utilizing triggers and webhooks.
• Linking an AI agent to their data streams within a specific flow.
• Automating a genuine business process from start to finish, including error management and performance monitoring.

A dedicated AI assistant can streamline email management, schedule appointments, generate briefings, and execute automated workflows like a morning overview. This one-day workshop guides you through setting up a personalized context, integrating connectors, and establishing clear protocols for approvals and data privacy. By the end of the session, you will have a functional AI agent with two active workflows in place.

This live, instructor-led training in Bhutan is designed for: Professionals, executive assistants, project managers, and self-employed individuals looking to implement a personal AI assistant for their daily operations.

Upon completing this training, participants will be able to:

• Identify the specific tasks a personal AI agent can automate and those that require human oversight
• Construct a personalized context using profiles, custom instructions, and notes
• Manage email and calendar entries with AI assistance while retaining full control
• Prepare for meetings and conversations using auto-generated briefings
• Implement routines such as daily overviews and weekly reviews
• Establish approval workflows, data protection measures, and operational boundaries for your agent

Course Format

• Duration: 1 day (7 hours)
• Interactive sessions featuring a trainer, discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Each participant will have a configured personal agent with a defined profile, integrated mailbox and calendar, and two operational routines

Course Customization Options

• To request a customized version of this training, please contact us to discuss your specific needs.

This live, instructor-led training in Bhutan is tailored for managers, assistants, and knowledge workers.

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

• Utilize AI to streamline email and calendar management
• Speed up meeting preparations and research tasks
• Set up a personal assistant aligned with their specific preferences
• Safeguard personal and company information