Whether delivered online or on-site, instructor-led live Artificial Intelligence (AI) training courses demonstrate, through practical exercises, how to implement AI solutions to address real-world challenges.
AI training is available as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted via an interactive, remote desktop. Onsite live Artificial Intelligence (AI) training can be carried out locally on customer premises in Bhutan or in NobleProg corporate training centers 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 live, instructor-led training in Bhutan (available online or onsite) is designed for beginner to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI for innovative media production and business growth.
By the end of this training, participants will be able to:
Create realistic voice clones for various applications.
Manipulate video content with DeepFake technology for creative or educational purposes.
Adopt ethical AI practices for content creation.
Leverage AI tools for business and creative enhancement.
Master AI media technologies for advanced applications.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.
Upon completion of this training, participants will be able to:
Grasp the AI/ML services offered by AWS.
Set up and manage AI/ML environments on AWS.
Gain practical experience in building, training, and deploying AI models using Amazon SageMaker.
Learn to leverage various AWS AI services for specific use cases.
AI tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and drafting of legal documents.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and enhance their day-to-day legal work.
By the end of this training, participants will be able to:
Use AI tools to review contracts for risky or missing clauses.
Generate first drafts of legal documents using generative AI assistants.
Automate legal research and summarize case law efficiently.
Organize tasks, deadlines, and legal files with the support of AI-based tools.
Format of the Course
Interactive lecture and discussion.
Hands-on practice with real-world legal examples.
Demonstration and guided use of AI tools in legal workflows.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
AI tools are revolutionizing productivity and creativity across various industries, with a significant impact on communication, design, and audiovisual production.
This instructor-led live training, available both online and onsite, is tailored for intermediate-level professionals looking to harness AI tools to streamline content creation, automate workflows, and enhance their creative output in daily tasks.
Upon completion of this training, participants will be able to:
Leverage ChatGPT and other Large Language Models (LLMs) for writing, summarizing, ideating, and automating tasks through effective prompt techniques.
Utilize Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to boost productivity.
Produce AI-generated images and videos using accessible tools suitable for professional applications.
Integrate Microsoft Copilot within Office 365 to optimize document, spreadsheet, and email workflows.
Understand and apply ethical AI usage practices, including essential cybersecurity considerations.
Explore real-world use cases in communication, design, and audiovisual production using AI tools.
Evaluate and experiment with free AI tools relevant to modern workplace requirements.
Format of the Course
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
AI-driven tools such as ChatGPT, Gemini, and Microsoft 365 Copilot are revolutionising the way procurement professionals conduct research, draft documentation, analyse supplier data, and manage contracts.
This instructor-led, live training (available online or onsite) is designed for intermediate-level procurement professionals who wish to leverage AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.
By the end of this training, participants will be able to:
Understand and differentiate major AI tools and their relevance to procurement tasks.
Write effective prompts to improve AI accuracy and reduce risk of misuse.
Use AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
Interpret AI-generated outputs responsibly and identify bias or hallucinations.
Recognize privacy, confidentiality, and ethical concerns when using AI in procurement.
Apply AI tools to real procurement categories like IT, IFM, Marketing, HR, and more.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with real-world procurement examples.
Use of live AI tools and prompt crafting practice.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Bhutan (online or onsite) is tailored for intermediate-level media professionals who wish to use AI tools to generate content, verify facts, automate editing tasks, and optimize workflows in digital journalism.
By the end of this training, participants will be able to:
Leverage AI tools for drafting news articles, headlines, and summaries.
Use AI to fact-check, detect bias, and suggest improvements in tone and clarity.
Automate repetitive newsroom tasks like transcription and tagging.
Apply ethical and editorial standards in AI-assisted content production.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate to advanced cybersecurity professionals and technical leads who seek to understand how to implement AI models to enhance security processes, automate threat detection and response, and perform predictive analysis.
By the end of this training, participants will be able to:
Understand the role of AI in modern cyber security.
Develop machine learning models for anomaly and threat detection.
Implement AI for automating incident response and security operations.
Evaluate the ethical and operational considerations of AI in cybersecurity.
This instructor-led, live training in Bhutan (online or onsite) is designed for managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.
By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.
This instructor-led, live training in Bhutan (online or onsite) is designed for managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization.
By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.
By the end of this training, participants will be able to:
Understand key AI concepts relevant to their industry.
Identify opportunities where AI can enhance their operations or customer experience.
Experiment with basic AI tools through guided practical activities.
Assess how to start small with AI in their own workplace.
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.
By the end of this training, participants will be able to:
Understand the principles and applications of Generative AI in the context of education.
Create personalized learning materials and pathways using AI.
Utilize AI tools for classroom management and content creation.
Address ethical considerations in the use of AI for education.
Develop strategies for integrating AI into educational curricula and administrative processes.
Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic capabilities.
This instructor-led training, available online or onsite, targets intermediate to advanced professionals aiming to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.
Upon completion of this training, participants will be equipped to:
Grasp the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
Design and implement AI agents tailored for enterprise and developer scenarios using Mistral models.
Integrate coding systems, connectors, and enterprise data into agent workflows.
Enhance performance, manage costs, and ensure compliance for Mistral-powered agents.
Course Format
Engaging lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live-lab environment.
Customization Options
For customized training requests, please contact us to arrange.
This course offers a hands-on, no-code introduction to Artificial Intelligence (AI) solutions designed specifically for logistics and supply chain operations within the fuel transportation industry. Participants will discover how to utilise AI tools and automation methods to enhance route planning, inventory forecasting, volumetric control, and logistics cost estimation using accessible, no-code platforms like Excel, Power BI, and ChatGPT.
This instructor-led, live training (available online or on-site) targets beginner-level professionals eager to apply AI in real-world logistics scenarios without requiring programming or data science expertise.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of AI and its significance in logistics and supply management.
Utilise AI-assisted tools to analyse operational data from routes, tanks, and deliveries.
Develop simple AI-based forecasting models for short-term fuel demand.
Apply AI to optimise routes, scheduling, and resource allocation.
Estimate and track logistics costs using data-driven insights.
Create performance dashboards and visual Key Performance Indicators (KPIs) for supply chain operations.
Design a practical 90-day plan for integrating AI into logistics and supply workflows.
Course Format
Interactive lectures and discussions.
Hands-on exercises and real operational case studies.
Step-by-step guidance on using no-code AI tools and templates.
Course Customisation Options
To request customised training for this course, please contact us to arrange.
Mistral AI offers an open-source AI platform that empowers teams to build and integrate conversational assistants into enterprise operations and customer-facing workflows.
This instructor-led training session, available both online and on-site, is designed for beginner to intermediate product managers, full-stack developers, and integration engineers. It focuses on teaching participants how to design, integrate, and productize conversational assistants using Mistral connectors and integrations.
Upon completing this training, participants will be able to:
Integrate Mistral conversational models with enterprise and SaaS connectors.
Implement retrieval-augmented generation (RAG) to ensure grounded and accurate responses.
Design user experience (UX) patterns for both internal and external chat assistants.
Deploy assistants into product workflows to address real-world use cases.
Course Format
Interactive lectures and discussions.
Hands-on integration exercises.
Live lab sessions for developing conversational assistants.
Course Customization Options
For customized training tailored to your specific needs, please contact us to make arrangements.
Artificial Intelligence with Python focuses on building intelligent systems by leveraging Python’s comprehensive ecosystem of AI and machine learning libraries.
This instructor-led live training, available online or onsite, is designed for intermediate Python developers who want to design, implement, and deploy AI solutions using Python.
Upon completing this training, participants will be able to:
Implement AI algorithms using Python’s core AI libraries.
Work with supervised, unsupervised, and reinforcement learning models.
Integrate AI solutions into existing applications and workflows.
Evaluate model performance and optimize for accuracy and efficiency.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph serves as a framework for constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise control over execution flow.
This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions, ensuring necessary compliance, traceability, and governance controls.
Upon completion of this training, participants will be equipped to:
Design LangGraph workflows tailored for legal requirements that maintain auditability and compliance.
Integrate legal ontologies and document standards into graph states and processing logic.
Implement guardrails, human-in-the-loop approval mechanisms, and traceable decision paths.
Deploy, monitor, and maintain LangGraph services in production environments with robust observability and cost management.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
For customized training arrangements, please reach out to us to coordinate.
Mistral AI offers an open, enterprise-ready platform designed to facilitate the secure, compliant, and responsible deployment of AI solutions.
This instructor-led training, available both online and on-site, is tailored for intermediate-level compliance leads, security architects, and legal or operations stakeholders. The programme focuses on embedding responsible AI practices within Mistral by utilising advanced privacy, data residency, and enterprise control mechanisms.
Upon completion of this training, participants will be equipped to:
Deploy privacy-preserving techniques within Mistral environments.
Apply data residency strategies to satisfy regulatory mandates.
Establish enterprise-grade controls, including RBAC, SSO, and audit logging.
Assess vendor and deployment choices to ensure alignment with compliance standards.
Course Format
Interactive lectures and discussions.
Compliance-oriented case studies and practical exercises.
Hands-on configuration of enterprise AI controls.
Customisation Options
For bespoke training arrangements, please contact us directly.
LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage finance solutions based on LangGraph, ensuring proper governance, observability, and compliance.
Upon completion of this training, participants will be able to:
Develop finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and tooling.
Implement reliability, safety, and human-in-the-loop controls for critical operations.
Deploy, monitor, and optimize LangGraph systems to enhance performance, manage costs, and meet SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
Customization Options
To request custom training for this course, please contact us to arrange.
Mistral models represent open-source AI technologies that have evolved to support multimodal workflows, effectively handling both linguistic and visual tasks for enterprise and research purposes.
This instructor-led training, available online or at your premises, is designed for intermediate-level machine learning researchers, applied engineers, and product teams aiming to develop multimodal applications using Mistral models, with a specific focus on OCR and document understanding pipelines.
Upon completion of this training, participants will be equipped to:
Configure and set up Mistral models for multimodal tasks.
Implement OCR workflows and seamlessly integrate them with NLP pipelines.
Architect document understanding applications tailored for enterprise scenarios.
Create vision-text search capabilities and assistive user interface functionalities.
Course Format
Engaging lectures and interactive discussions.
Practical, hands-on coding exercises.
Live laboratory sessions for implementing multimodal pipelines.
Customization Options
For those interested in a customized version of this course, please reach out to us to arrange a tailored session.
Advanced Ollama Model Debugging & Evaluation is a comprehensive course designed to help participants diagnose, test, and measure the behavior of models deployed locally or privately via Ollama.
This instructor-led, live training (available online or onsite) targets advanced AI engineers, ML Ops professionals, and QA practitioners who aim to ensure the reliability, accuracy, and operational readiness of Ollama-based models in production environments.
Upon completion of this training, participants will be able to:
Systematically debug Ollama-hosted models and reliably reproduce failure scenarios.
Design and execute robust evaluation pipelines using both quantitative and qualitative metrics.
Implement observability features (logs, traces, metrics) to monitor model health and detect drift.
Automate testing, validation, and regression checks integrated into CI/CD pipelines.
Course Format
Interactive lectures and discussions.
Hands-on labs and debugging exercises using Ollama deployments.
Case studies, group troubleshooting sessions, and automation workshops.
Course Customization Options
For customized training requests, please contact us to arrange.
AI for HR involves leveraging artificial intelligence tools and techniques to enhance hiring, onboarding, talent management, employee experience, and overall HR operations.
This instructor-led live training, available both online and onsite, is designed for intermediate-level HR professionals and people analytics practitioners who aim to understand how to evaluate, adopt, and responsibly apply AI tools to practical HR use cases.
Upon completion of this training, participants will be equipped to:
Identify high-value HR use cases for AI and prioritize pilot opportunities.
Design prompts and workflows to utilize LLMs for common HR tasks, such as creating job descriptions, summaries, and communications.
Assess ethical, legal, and privacy risks associated with AI in HR and apply appropriate mitigation strategies.
Measure impact and define success metrics for AI-enabled HR initiatives.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises involving real HR scenarios and datasets.
Group workshops focused on designing responsible AI-powered HR workflows.
Course Customization Options
To request customized training for this course, please contact us to make arrangements.
Devstral and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.
This instructor-led live training (available online or onsite) targets intermediate to advanced ML engineers, platform teams, and research engineers looking to self-host, fine-tune, and govern Mistral and Devstral models in production environments.
Upon completing this training, participants will be able to:
Set up and configure self-hosted environments for Mistral and Devstral models.
Apply fine-tuning techniques to optimize domain-specific performance.
Implement versioning, monitoring, and lifecycle governance.
Ensure security, compliance, and responsible usage of open-source models.
Course Format
Interactive lectures and discussions.
Hands-on exercises focused on self-hosting and fine-tuning.
Live-lab sessions for implementing governance and monitoring pipelines.
Course Customization Options
To request customized training for this course, please contact us to arrange.
LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these features are vital for ensuring compliance, enabling interoperability, and developing decision-support systems that align with medical workflows.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be able to:
Design healthcare-specific LangGraph workflows with a focus on compliance and auditability.
Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
Apply best practices for reliability, traceability, and explainability in sensitive environments.
Deploy, monitor, and validate LangGraph applications in healthcare production settings.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with real-world case studies.
Implementation practice in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs, featuring persistent state and precise control over execution.
This instructor-led, live training (available online or onsite) is tailored for advanced-level AI platform engineers, AI DevOps professionals, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.
By the conclusion of this training, participants will be able to:
Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
Engineer reliability by implementing retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
Debug and trace graph executions, inspect state data, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces; deploy to production environments; and monitor SLAs and costs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level game developers and AI enthusiasts keen on effectively integrating AI agents into gaming applications.
Upon completion of this training, participants will be able to:
Grasp the significance of AI agents in contemporary gaming.
Construct decision-making systems leveraging decision trees and finite state machines.
Deploy pathfinding algorithms like A* for in-game navigation.
Utilize reinforcement learning techniques to engineer adaptive AI behaviours.
Enhance AI performance for real-time gaming environments.
PostgreSQL is a robust, open-source relational database that can be significantly enhanced with AI capabilities to support enterprise data intelligence, predictive analytics, and automation.
This instructor-led live training, available both online and onsite, targets intermediate to advanced data engineers, Database Administrators (DBAs), and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.
Upon completing this programme, participants will acquire the expertise to:
Seamlessly integrate AI models and vector search functionalities directly into PostgreSQL.
Deploy AI-optimized architectures designed for high-volume enterprise workloads.
Establish robust governance, auditing, and compliance protocols for AI data pipelines.
Safely utilise both open-source and proprietary AI frameworks within PostgreSQL environments.
Course Format
Interactive lectures complemented by enterprise case study discussions.
Practical exercises and real-world laboratory sessions.
Hands-on implementation within a live PostgreSQL environment.
Course Customization Options
To arrange customized training for this course, please get in touch with us.
This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate to advanced participants who wish to optimize customer care operations using AI and automation, while equipping their teams with the latest tools and strategies.
Upon completing this training, participants will be able to:
Gain insights into the latest trends in customer care and customer success.
Utilize AI and automation to enhance customer satisfaction and reduce operational burden.
Streamline sales workflows and boost customer engagement through advanced automation.
Conduct remote training for teams on modern tools and strategies for customer success and sales.
Develop scalable solutions to elevate customer experiences and foster revenue growth.
Mistral represents a high-performance family of large language models specifically optimized for cost-efficient production deployment at scale.
This instructor-led training, available both online and onsite, is designed for advanced infrastructure engineers, cloud architects, and MLOps leaders who aim to design, deploy, and optimize Mistral-based architectures to achieve maximum throughput while minimizing costs.
Upon completion of this training, participants will be capable of:
Implementing scalable deployment patterns for Mistral Medium 3.
Applying batching, quantization, and efficient serving strategies.
Optimizing inference costs without compromising performance.
Designing production-ready serving topologies suitable for enterprise workloads.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live laboratory environment.
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 onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.
By the end of this training, participants will be able to:
Grasp the architecture and key features of Milvus.
Deploy vector databases across diverse AI applications.
Execute similarity searches with exceptional accuracy and speed.
This instructor-led, live training in Bhutan (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
Deploy and configure Ollama for private AI processing.
Integrate AI models into secure enterprise workflows.
Optimize AI performance while maintaining data privacy.
Automate business processes with on-premise AI capabilities.
Ensure compliance with enterprise security and governance policies.
This instructor-led, live training, available Bhutan (online or onsite), targets beginner to intermediate-level developers and architects eager to master the fundamentals of intelligent driving and apply these concepts to real-world scenarios.
By the end of this training, participants will be able to:
Explain the basic concepts and principles of AI and how they apply to driving.
Understand the architecture and components of intelligent driving systems.
Create and visualize a composite driving model from different design disciplines.
Communicate and annotate issues and feedback within the model.
Perform clash detection and resolution between driving scenarios.
LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it ideally suited for automating and personalizing content pipelines.
This instructor-led live training, available either online or at the participant's site, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.
Upon completing this training, participants will be capable of:
Designing graph-structured workflows for email and content that incorporate conditional logic.
Integrating LLMs, APIs, and various data sources to achieve automated personalization.
Managing state, memory, and context across complex, multi-step marketing campaigns.
Evaluating, monitoring, and optimizing the performance and delivery outcomes of these workflows.
Course Format
Interactive lectures paired with group discussions.
Practical, hands-on labs focused on implementing email workflows and content pipelines.
Scenario-based exercises covering personalization, segmentation, and branching logic.
Customization Options
For those interested in tailored training for this course, please get in touch with us to arrange a customized schedule.
Le Chat Enterprise offers a private ChatOps solution, delivering secure, customizable, and governed conversational AI capabilities tailored for organizational needs. It supports Role-Based Access Control (RBAC), Single Sign-On (SSO), connectors, and seamless integration with enterprise applications.
This instructor-led live training, available online or onsite, targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who aim to deploy, configure, and govern Le Chat Enterprise within enterprise settings.
Upon completion of this training, participants will be able to:
Set up and configure Le Chat Enterprise for secure deployments.
Enable RBAC, SSO, and compliance-driven controls.
Integrate Le Chat with enterprise applications and data stores.
Design and implement governance and admin playbooks for ChatOps.
Format of the Course
Interactive lecture and discussion.
Extensive 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 Bhutan (online or onsite) is aimed at beginner to intermediate data scientists and software developers who wish to learn how to apply Pinecone to various AI scenarios, from semantic search to personalization.
By the end of this training, participants will be able to:
Understand the architecture and features of Pinecone.
Implement vector databases in different AI applications.
Perform similarity searches with high accuracy and speed.
This instructor-led live training in Bhutan (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.
By the end of this training, participants will be able to:
Learn the concept of Artificial Intelligence (AI).
Understand the limits and dangers of AI and use it responsibly.
Know how to effectively use AI in real-world scenarios.
Devstral is an open-source framework engineered to facilitate the creation and execution of coding agents capable of interacting with codebases, developer utilities, and APIs to boost engineering productivity.
This instructor-led, live training (available online or onsite) targets intermediate to advanced ML engineers, developer-tooling teams, and SREs looking to design, implement, and optimize coding agents using Devstral.
Upon completion 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.
Course Format
Interactive lecture and discussion.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph serves as a framework designed for composing graph-structured workflows involving Large Language Models (LLMs), enabling capabilities such as branching logic, tool utilization, memory management, and controllable execution.
This instructor-led live training, available both online and onsite, targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph-based logic with LLM agent loops. The objective is to develop dynamic, context-aware applications, including customer support agents, decision trees, and information retrieval systems.
Upon completing this training, participants will be equipped to:
Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
Implement conditional routing, retries, and fallback mechanisms to ensure robust execution.
Integrate retrieval processes, APIs, and structured outputs into agent loops.
Evaluate, monitor, and secure agent behavior to guarantee reliability and safety.
Course Format
Interactive lectures coupled with facilitated discussions.
Guided labs and code walkthroughs conducted within a sandbox environment.
Scenario-based design exercises and peer review sessions.
Customization Options for the Course
For requests regarding customized training for this course, please reach out to us to make arrangements.
This instructor-led, live training in Bhutan (online or onsite) is tailored for intermediate to advanced data scientists and machine learning engineers who aim to master the utilisation of vector databases for building scalable, high-performance AI applications.
By the conclusion of this training, participants will be equipped to:
Grasp the core principles of vector databases.
Acquire techniques for creating and managing vector embeddings.
Explore indexing strategies suitable for high-dimensional data.
Develop capabilities for performing efficient similarity searches.
Apply vector database expertise to machine learning projects.
This instructor-led, live training in Bhutan (online or onsite) is designed for digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications.
By the end of this training, participants will be able to:
Understand the principles and benefits of Bing AI.
Identify the AI-powered features within Bing and their applications.
Utilize Bing AI to enhance search results and user experiences.
Evaluate the potential of AI in search engine optimization (SEO) and content creation.
Explore chatbot technologies and their applications, including Bing AI Chatbot.
This instructor-led, live training in Bhutan (online or onsite) is designed for beginner to intermediate-level researchers and laboratory professionals who need to process and analyze images of histological tissues, blood cells, algae, and other biological specimens.
Upon completing this training, participants will be able to:
Navigate the Fiji interface and effectively use ImageJ’s core capabilities.
Preprocess and enhance scientific images to improve analytical accuracy.
Perform quantitative image analysis, including cell counting and area measurements.
Automate routine tasks using macros and plugins.
Tailor workflows to meet specific image analysis requirements in biological studies.
LangGraph is a framework designed for constructing graph-structured LLM applications, supporting planning, branching, tool use, memory, and controllable execution.
This instructor-led, live training (available online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.
By the end of this training, participants will be able to:
Explain core LangGraph concepts (nodes, edges, state) and when to use them.
Build prompt chains that branch, call tools, and maintain memory.
Integrate retrieval and external APIs into graph workflows.
Test, debug, and evaluate LangGraph apps for reliability and safety.
Format of the Course
Interactive lecture and facilitated discussion.
Guided labs and code walkthroughs in a sandbox environment.
Scenario-based exercises on design, testing, and evaluation.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Mistral Medium 3 is a high-performance, multimodal large language model built for production-grade deployment across enterprise settings.
This instructor-led live training (available online or on-site) targets intermediate to advanced AI/ML engineers, platform architects, and MLOps teams looking to deploy, optimize, and secure Mistral Medium 3 for enterprise use cases.
Upon completion of this training, participants will be able to:
Deploy Mistral Medium 3 using both API and self-hosted approaches.
Enhance inference performance and manage costs effectively.
Implement multimodal use cases leveraging Mistral Medium 3.
Apply security and compliance best practices suited for enterprise environments.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live lab environment.
Customization Options
For customized training arrangements, please reach out to us.
What will the cities of tomorrow look like? How can Artificial Intelligence (AI) be leveraged to enhance urban planning? Furthermore, how can AI help create cities that are more efficient, livable, safer, and environmentally sustainable?
In this instructor-led live training (available onsite or remotely), we explore the diverse technologies that constitute AI, along with the necessary skills and mental models required to apply them effectively in city planning. The session also covers tools and methods for collecting and organizing relevant data for AI applications, including data mining techniques.
Audience
City planners
Architects
Developers
Transportation officials
Format of the Course
A blend of lectures, discussions, and a series of interactive exercises.
Note
To arrange a customized training for this course, please contact us.
This instructor-led, live training (online or onsite) targets team leaders and middle managers seeking to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.
Upon completion of this training, participants will be able to:
Define when to use AI and when not to (stop rules).
Verify AI outputs with practical standards (red flags, second source).
This instructor-led, live training in Bhutan (online or onsite) targets intermediate to advanced professionals, business leaders, and policymakers who wish to explore AI’s role in business, society, and future developments.
Upon completion of this training, participants will be able to:
Comprehend how AI influences business, the economy, and workforce dynamics.
Identify ethical, legal, and societal challenges associated with AI adoption.
Analyze the role of AI in privacy, governance, and inclusion.
Evaluate strategies to address AI bias and ethical concerns.
Discuss AI’s future potential and emerging challenges.
This course is tailored for participants who are starting to utilise AI tools within an office setting. We explore the basics of writing effective prompts, key principles of data security and privacy, along with practical applications of AI in Word, Excel, Outlook, and PowerPoint. Attendees will view real-world examples of how AI can enhance everyday productivity and gain a clear understanding of the current capabilities and limitations of AI technology.
This practical training programme is tailored for data engineering professionals aiming to develop tangible skills in artificial intelligence, Python, and Large Language Models (LLMs). The curriculum emphasizes real-world utility, encompassing model application, prompt engineering, and the creation of AI-driven solutions. Participants will engage in progressive exercises that transition from foundational concepts to constructing deployable AI workflows.
Training Format
• Instructor-led classroom sessions conducted in person
• Guided practice under the supervision of an expert instructor
• Interactive discussions complemented by real-world case studies
• Daily practical, hands-on exercises
Course Objectives
• Grasp the core AI and machine learning concepts pertinent to contemporary applications
• Enhance Python proficiency for AI development and data processing workflows
• Comprehend the mechanics of Large Language Models and master their effective utilization
• Design and refine prompts to ensure consistent and reliable outputs
• Develop end-to-end AI solutions leveraging APIs and various frameworks
• Seamlessly integrate AI capabilities into existing data engineering pipelines
This instructor-led, live training in Bhutan (online or in-person) is designed for system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.
This instructor-led, live training in Bhutan (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.
This course adopts a hands-on approach to teaching OptaPlanner. It equips participants with the essential tools required to carry out the basic functions of this software.
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Testimonials (15)
I really enjoyed learning about AI attacks and the tools out there to begin practicing and actively using for security testing. I took a lot of knowledge away which I didn't have at the beginning and the course met what I hoped it would be. My favorite part shown from the training was Comet Browser and was amazed at what it could do. Definitely something will be looking into more. Overall it was a great course and enjoyed learning all OWASP GenAI Top 10.
The training helped me to appreciate the value that AI can bring to my work.
Lebogang Mogotlhwane
Course - ChatGPT for Insurance
The interactivity and the gradual introduction of the topics
Alessandro Pignatelli - Istituto Nazionale di Geofisica e Vulcanologia
Course - ChatGPT for Data Science and Analytics
The extensive selection of tools presented
Miruna Buzduga - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
The most valuable part was the practical examples that made the material easy to understand
Ropiudin Ropie - PT Sigma Cipta Utama
Course - AI Foundations for the Modern Workplace
Our trainer, Yashank, was incredibly knowledgeable. He modified the curriculum to match what we truly needed to learn, and we had a great learning experience with him. His understanding of the domain he was teaching was impressive; he shared insights from real experience and helped us solve actual problems we were facing in our work.
Ahmed Nazeem - Maldives Pension Administration Office
Course - Multimodal AI for Enhanced User Experience
The profesional knolage and the way how he presented it before us
Miroslav Nachev - PUBLIC COURSE
Course - Cybersecurity in AI Systems
all the foundational Copilot training to help with prompting and having Copilot learn me
Manny Anastacio - UPS
Course - Artificial Intelligence (AI) for Managers
personalized, relevant examples
Karen Butler - Retired
Course - ChatGPT for Executives
Customized to our need.
Furugaan Ibrahim - Male' Water & Sewerage Company Pvt Ltd
Course - Generative AI for Managers
The trainer provided clear explanations, and the topic is highly relevant
Madalina Spanu
Course - Future-Ready HR: Unlocking AI’s Potential in People Operations
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