Delivered either online or onsite, these instructor-led live training courses on Agentic AI provide interactive, hands-on practice to demonstrate how autonomous decision-making systems can be leveraged to automate tasks, enable data-driven decision-making, and streamline business processes.
Agentic AI training is offered in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is conducted through an interactive remote desktop. Onsite live training can be conducted either at your customer premises in Bhutan or at NobleProg corporate training centers located in Bhutan.
NobleProg -- Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led course on Bhutan delves into generative and agentic AI, enabling you to build and assess autonomous systems. It covers prompt engineering, tool integration, and the deployment of responsible, goal-driven agents to enhance real-world productivity and intelligent automation.
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 path to building autonomous AI agents in Python. Participants 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 hands-on course in Bhutan walks you through the process of deploying agentic AI on devices with limited resources. 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 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 live, instructor-led session in Bhutan empowers intermediate professionals to design and scale agentic AI for business automation. Participants will learn to map workflows, integrate tools, and develop practical use cases in customer service, supply chain, and marketing, ensuring measurable business 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 capstone project.
This instructor-led training in Bhutan focuses on reinforcement learning and decision-making for agentic AI. Participants will implement DQN, PPO, and A3C using Python, model environments with OpenAI Gym, and integrate these techniques into robotics and planning systems to achieve real-world adaptive behaviour.
This live training in Bhutan empowers advanced professionals to scale and operationalize agentic AI systems for production. It delves into MLOps, observability, and cost governance, enabling the creation of resilient, observable, and cost-optimized pipelines for enterprise-scale deployments.
This live, instructor-led training in Bhutan assists BI professionals in modernizing legacy systems via WrenAI. Participants will evaluate existing environments, design migration paths toward conversational analytics, and lead 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, enforce least-privilege access, and execute adversarial testing to effectively mitigate real-world threats in production settings.
This instructor-led, live training in Bhutan centers on practical Python implementation for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, empowering engineers to confidently build, connect, and orchestrate complex agent workflows.
This instructor-led training in Bhutan enables finance professionals to use WrenAI for modelling KPIs and designing regulatory-aware dashboards. Participants will acquire practical skills in integrating data sources, ensuring audit compliance, and developing risk management reports to facilitate effective decision-making.
This instructor-led live training in Bhutan provides hands-on Python techniques for developing autonomous agents. Key topics include agent loops, tool integrations, memory management, orchestration, and safety controls. It is ideal for ML engineers aiming to deploy robust, production-ready agents.
This live, instructor-led program for Bhutan provides advanced professionals with the core skills needed for WrenAI quality assurance. Learners will master the evaluation of NL-to-SQL precision, the application of prompt tuning, and the deployment of observability frameworks. It is ideal for achieving enterprise-level reliability and compliance.
Delve into Agentic AI in healthcare through this instructor-led program in Bhutan. Master the design, evaluation, and governance of agent workflows for clinical applications. Participants will construct retrieval-augmented agents, implement guardrails, and master governance principles via hands-on labs and scenario-based activities.
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 instructor-led live training in Bhutan empowers operations professionals to master WrenAI Spreadsheets and the Metrics Library. Participants will learn to generate AI-driven reports, establish live data connections, and optimize workflows to accelerate operational analytics and promote efficient 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 instructor-led live training in Bhutan provides intermediate engineers with the expertise required to utilize the WrenAI API for practical implementations. 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 in Bhutan walks data professionals through configuring WrenAI Cloud, linking varied data sources, and designing data models for analytics. Learners will acquire the skills to refine information and craft interactive dashboards that provide 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, discover how to construct robust semantic layers and optimize text-to-SQL capabilities using WrenAI OSS. This advanced training for data and ML engineers focuses on prompt tuning, implementing guardrails, and integrating seamlessly 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 guides SaaS teams in embedding WrenAI's GenBI capabilities into customer-facing products through the Embedded API. Participants will master the configuration of white-label analytics, the design of secure multi-tenant setups, and the optimization of performance while maintaining compliance 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 empowers product teams to integrate WrenAI for conversational analytics. Participants will learn to design robust NL-to-SQL workflows, standardize metrics, and embed self-service BI dashboards seamlessly into their daily product management routines.
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 designed for intermediate-level professionals who wish to automate business processes and build their first AI agent with Make.
By the end of this training, participants will be able to:
Design no-code workflows in Make using triggers and webhooks.
Connect an AI agent to their data within a flow.
Automate a real process from start to finish, including error handling and monitoring.
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Testimonials (4)
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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