Cloud Computing Training in Bhutan

This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level data engineers who wish to use Azure Data Factory to implement scalable and efficient data integration solutions in the cloud.

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

• Understand the core concepts and architecture of Azure Data Factory (ADF).
• Learn to create, schedule, and monitor data pipelines.
• Integrate with various data sources, perform data transformation, and manage data flows.
• Implement best practices for error handling and performance optimization.
• Secure and monitor data pipelines for production environments.

This instructor-led, live training session in Bhutan (available online or onsite) is designed for intermediate-level IT professionals who aim to build the skills necessary to deploy, manage, and operate workloads on Google Cloud while preparing for the Google Certified Associate Cloud Engineer certification.

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

• Set up and oversee Google Cloud projects, resources, networking, and storage services.
• Deploy and administer applications using Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Configure identity and access management, security controls, and establish billing budgets, alerts, and cost monitoring mechanisms.
• Provision and automate cloud infrastructure utilizing Terraform and Cloud Build.
• Monitor, troubleshoot, and optimize Google Cloud environments through Cloud Monitoring and Cloud Logging.
• Comprehend the capabilities of Vertex AI and other Google Cloud AI services for typical business and operational use cases.

This instructor-led live training (online or onsite) is designed for intermediate-level data scientists and healthcare professionals aiming to utilize AI for advanced healthcare applications through Google Colab.

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

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level data scientists and engineers looking to employ Google Colab and Apache Spark for big data processing and analytics.

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

• Establish a big data environment using Google Colab and Spark.
• Process and analyse large datasets efficiently with Apache Spark.
• Visualise big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training session (available online or onsite) is designed for system administrators at the beginner level who seek to master the essential concepts and practical skills needed to effectively manage and optimize Nutanix environments.

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

• Understand the Nutanix Enterprise Cloud Platform and its key components.
• Install, configure, and manage Nutanix Clusters.
• Gain proficiency in administering the Acropolis Hypervisor (AHV).
• Perform advanced management tasks and troubleshooting.
• Implement best practices for high availability, disaster recovery, and security.

This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

This instructor-led live training in Bhutan (online or onsite) is targeted at beginner-level IT professionals who wish to manage and operate the Google Cloud Platform.

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

• Understand the core services and infrastructure of GCP.
• Learn how to manage networks and virtual machines.
• Understand and apply general security best practices in GCP.
• Explore Kubernetes and container management in GCP.
• Learn about storage options and how to configure them.
• Deploy and configure databases on GCP.

This instructor-led, live training in Bhutan (online or onsite) targets advanced professionals seeking to deepen their understanding of reinforcement learning and its practical application in AI development using Google Colab.

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

• Comprehend the core concepts of reinforcement learning algorithms.
• Implement reinforcement learning models using TensorFlow and OpenAI Gym.
• Develop intelligent agents that learn via trial and error.
• Optimize agent performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
• Train agents in simulated environments using OpenAI Gym.
• Deploy reinforcement learning models for real-world applications.

This instructor-led, live training in Bhutan (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

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

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led live training in Bhutan (offered online or onsite) targets advanced-level professionals eager to deepen their understanding of machine learning models, sharpen their hyperparameter tuning capabilities, and learn effective model deployment techniques using Google Colab.

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

• Develop advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through advanced hyperparameter tuning.
• Deploy machine learning models for real-world applications using Google Colab.
• Collaborate and oversee large-scale machine learning projects within Google Colab.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental concepts of natural language processing.
• Preprocess and cleanse text data for NLP objectives.
• Conduct sentiment analysis using NLTK and SpaCy libraries.
• Utilize Google Colab to handle text data, enabling scalable and collaborative development.

This instructor-led live training, conducted in Bhutan (either online or onsite), targets intermediate-level data scientists and developers who aim to understand and apply deep learning techniques using the Google Colab environment.

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

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in industry-specific cloud environments.

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

• Understand the principles and components of data fabrics.
• Design and implement data integration and orchestration solutions.
• Ensure data quality and governance within industry cloud platforms.
• Utilize data fabrics to support industry-specific data analysis and decision-making.
• Stay current with emerging trends and technologies in cloud data management.

This instructor-led, live training in Bhutan (online or onsite) is designed for beginner-level IT professionals, business analysts, and project managers who wish to grasp the fundamentals of cloud computing and its application across diverse industries.

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

• Identify the core characteristics and advantages of cloud computing.
• Distinguish between different cloud service and deployment models.
• Appreciate the significance of cloud solutions tailored to specific industries.
• Evaluate the security and compliance dimensions of cloud platforms.
• Explore emerging trends and future trajectories in cloud technology.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level cloud engineers and operations managers seeking to enhance their cloud infrastructure management through Kubiya AI.

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

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led live training in Bhutan (online or onsite) targets intermediate-level data scientists and developers aiming to efficiently apply machine learning algorithms using Google Colab.

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

• Set up and navigate Google Colab for machine learning projects.
• Understand and apply various machine learning algorithms.
• Use libraries like Scikit-learn to analyze and predict data.
• Implement supervised and unsupervised learning models.
• Optimize and evaluate machine learning models effectively.

This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level to advanced-level DevOps engineers, system administrators, and system architects who wish to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.

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

• Develop and maintain Terraform projects at scale.
• Demonstrate expertise with HCL and some of the more-advanced expression language capabilities and practices.
• Utilize various automation tools and processes for managing Terraform ops in continuous integration and delivery pipelines, including testing and quality assurance tools and processes.
• Act as an expert in any existing or new Terraform project or module.

This instructor-led, live training in Bhutan (online or onsite) is designed for beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training in Bhutan (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led live training in Bhutan (online or on-site) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

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

• Understand the basics of Python programming language.
• Implement Python code in Google Colab environment.
• Utilize control structures to manage the flow of a Python program.
• Create functions to organize and reuse code effectively.
• Explore and use basic libraries for Python programming.

This instructor-led live training in Bhutan (online or onsite) is designed for intermediate to advanced-level integration developers and system administrators who wish to learn advanced Boomi techniques for building, managing, and deploying cloud-based solutions on integration platforms.

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

• Utilize AtomSphere and work with Boomi documents.
• Design and create complex integration processes to support advanced logic and data processing.
• Manage the deployment of integration processes, along with logging and reporting.
• Identify and handle errors effectively.
• Apply best practices and techniques for integrating with Boomi.

This instructor-led live training in Bhutan (online or onsite) targets beginner-level data scientists and IT professionals keen on learning the basics of data science using Google Colab.

Upon completing this training, participants will be equipped to:

• Configure and navigate Google Colab.
• Compose and run fundamental Python code.
• Import and manage datasets.
• Generate visualizations employing Python libraries.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level professionals who wish to acquire the skills to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led, live training in Bhutan (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions.

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

• Set up a development environment that includes OpenNebula.
• Create and manage virtual machines in OpenNebula.
• Understand the lifecycle of a virtual machine.
• Integrate OpenNebula with existing infrastructure.
• Troubleshoot common issues in an OpenNebula environment.

This instructor-led live training in Bhutan (online or onsite) targets intermediate-level system administrators keen on using VMware vCenter to manage complex virtual environments.

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

• Understand the architecture and components of VMware vSphere and vCenter Server.
• Install, configure, and manage VMware ESXi and vCenter Server.
• Implement advanced networking and storage configurations.
• Create, manage, and migrate virtual machines.
• Ensure high availability and disaster recovery in a virtualized environment.
• Automate vSphere tasks and manage lifecycle and upgrades.
• Troubleshoot common issues and apply best practices.

This intensive OpenStack training provides practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments based on OpenStack. Designed as an extended bootcamp, the course covers core administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. With 75% workshop-based learning in a live OpenStack lab, participants build the skills needed to confidently administer and further develop enterprise OpenStack infrastructures.

This instructor-led, live training (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.

Upon completing this training, participants will be equipped to build an IoT platform that covers the deployment and management of a backend, gateway, and devices on AWS.

This instructor-led, live training in Bhutan (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload and execute AWS Lambda functions.
• Integrate Lambda functions with different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in Bhutan (online or onsite) is aimed at integration developers, sysadmins, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions.

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

• Set up the necessary environment to start building integrations with Boomi.
• Understand Boomi AtomSphere's features, architecture, and core concepts.
• Learn how to design, build, and deploy integration processes with Boomi.
• Use Boomi's dashboard and reporting options to monitor applications.
• Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
• Enable web services and API integration and management with Boomi.

This 7-day programme offers an immersive, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to craft scalable microservices architectures, refine container environments, and manage production workloads effectively using Kubernetes. The curriculum delves into sophisticated deployment strategies, GitOps-driven automation, and observability techniques essential for ensuring robust system performance and reliability.

Particular emphasis is placed on tackling real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The course wraps up by introducing AI-powered tools designed to aid in troubleshooting and expedite operational decision-making processes.

Upon completion, participants will possess a clear grasp of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

Designed specifically for non-technical professionals—including managers, business analysts, QA testers, and operations staff—this course builds a solid foundation in cloud computing. Learners will delve into essential concepts, advantages, and real-world applications of the cloud to support smarter decision-making and active involvement in cloud migration efforts. The curriculum focuses on clarifying cloud terminology, contrasting cloud and on-premises setups, exploring service models, and highlighting the cloud's influence across different organizational roles.

Upon completing this course, participants will be equipped to:

• Clarify key cloud computing definitions and terminology
• Identify various cloud service models (IaaS, PaaS, SaaS)
• Distinguish between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Compare on-premises infrastructure with cloud-based solutions
• Appreciate cloud benefits such as scalability, agility, availability, and cost-efficiency
• Recognize leading cloud platforms (AWS, Azure, GCP) and their respective offerings
• Understand cloud accountability through the shared responsibility model and role-based access
• Grasp how cloud technologies influence software testing, deployment, and monitoring
• Engage effectively in cloud adoption and migration projects
• Understand fundamental cloud security, compliance, and governance principles

This intensive 3-day training program equips participants with a robust understanding of cloud computing principles, complemented by practical, hands-on experience across top-tier cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is divided into four sessions; the first covers foundational cloud concepts, while the remaining sessions focus on each major platform individually. Upon completion, learners will possess a clear grasp of cloud fundamentals, practical insights into the architecture and services of each platform, and the ability to deploy and manage resources in real-world contexts.

This instructor-led live training in Bhutan (available online or onsite) is tailored for IT architects and IT consultants looking to implement best practices for cloud infrastructure and services.

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

• Leverage cloud infrastructure and services for business implementation.
• Apply advanced cloud security with Cloud Security Alliance standards.
• Migrate legacy systems into the cloud using SOA and Paas synergy.
• Automate on demand resource provisioning for asynchronous cloud services.

This instructor-led live training in Bhutan (available online or onsite) is tailored for cloud administrators, cloud architects, technology leaders, and financial analysts seeking to record, manage, monitor, and process an organization’s financial assets in the cloud.

By the end of this training, participants will be able to utilize FinOps practices to forecast costs, optimize processes, and perform financial management operations within the cloud environment.

This live, instructor-led training in Bhutan is tailored for beginner-level business professionals seeking to prepare for the Google Cloud Digital Leader certification.

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

• Explain how Google Cloud drives digital and data transformation.
• Describe Google Cloud AI/ML, infrastructure, security, and operations at a business level.
• Prepare for the certification exam through mock questions and structured review.

This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level IT professionals and technology decision-makers who wish to employ open-source platforms and open standards to design portable, resilient, and sovereign software environments.

By the conclusion of this training, participants will be able to: explain digital sovereignty concepts, evaluate portability risks, assess Kubernetes and open-source platform options, and define practical adoption steps.

This course serves as comprehensive training for OpenStack. It commences with an introduction to the system, followed by hands-on workshops that impart practical knowledge for managing private clouds based on OpenStack. It also addresses troubleshooting and advanced architectural topics. The objective of this course is to familiarize learners with the OpenStack ecosystem while establishing a robust foundation for further expansion and refinement of OpenStack clouds. The curriculum encompasses all topics required to successfully complete the OpenStack Administrator Certificate exam.

This instructor-led, live training (available online or onsite) is designed for system administrators and infrastructure engineers who wish to design, deploy, and manage private OpenStack cloud infrastructure for enterprise environments.

By the end of this training, participants will be able to understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security with Keystone, and apply enterprise best practices.

This instructor-led, live training in Bhutan (available online or onsite) is designed for intermediate-level IT leaders, architects, and governance professionals. It focuses on using sovereign cloud strategy principles to design governance models, choose suitable cloud architectures, and prepare practical exit plans.

By the end of this training, participants will be able to define sovereignty requirements, evaluate architecture options, establish governance controls, and build a practical exit roadmap.

This instructor-led, live training in Bhutan (online or onsite) is designed for intermediate-level virtualization administrators who wish to utilize open-source platforms to migrate away from VMware.

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

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.