Cloud Computing Training in Leon

This instructor-led, live training in Leon (online or onsite) is designed for beginner-level data engineers who want to use Azure Data Factory to implement scalable and efficient cloud data integration solutions.

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

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

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level IT professionals who want to develop the skills needed to deploy, manage, and operate workloads on Google Cloud and prepare for the Google Certified Associate Cloud Engineer certification.

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

• Set up and manage 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, billing budgets, alerts, and cost monitoring.
• Provision and automate cloud infrastructure using Terraform and Cloud Build.
• Monitor, troubleshoot, and optimize Google Cloud environments using Cloud Monitoring and Cloud Logging.
• Understand the capabilities of Vertex AI and Google Cloud AI services for common business and operational use cases.

This instructor-led, live training in Leon (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

By the end 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 Leon (online or onsite) is tailored for intermediate-level data scientists and engineers looking to utilize Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Leon (online or on-site) is aimed at beginner-level system administrators who wish to learn essential concepts and practical skills required for effective management and optimization of Nutanix environments.

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

• Understand Nutanix Enterprise Cloud Platform and its 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 Leon (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 Leon (online or on-site) is aimed 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 live, instructor-led training in Leon (online or onsite) is designed for advanced professionals who want to expand their knowledge of reinforcement learning and its practical applications in AI development using Google Colab.

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

• Understand the core concepts of reinforcement learning algorithms.
• Implement reinforcement learning models using TensorFlow and OpenAI Gym.
• Develop intelligent agents that learn through trial and error.
• Optimize agents' 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 live, instructor-led training in Leon (delivered online or onsite) is tailored for advanced professionals seeking to refine their knowledge of computer vision and utilize TensorFlow’s capabilities to build sophisticated vision models via Google Colab.

Upon completion, participants will be equipped to:

• Construct and train convolutional neural networks (CNNs) with TensorFlow.
• Utilize Google Colab to facilitate scalable and efficient cloud-based model development.
• Apply image preprocessing techniques tailored for computer vision tasks.
• Deploy computer vision models for practical, real-world use cases.
• Employ transfer learning strategies to boost the performance of CNN models.
• Visualize and analyze the outcomes of image classification models.

This live, instructor-led training in Leon (online or in-person) targets advanced professionals seeking to expand their knowledge of machine learning models, improve their hyperparameter tuning expertise, and learn how to effectively deploy models using Google Colab.

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

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

This instructor-led, live training Leon (online or in-person) is designed for intermediate data scientists and developers aiming to apply NLP techniques using Python in Google Colab.

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

• Grasp the core concepts of natural language processing.
  
• Preprocess and clean text data for NLP tasks.
  
• Conduct sentiment analysis using NLTK and SpaCy libraries.
  
• Utilize Google Colab for text data processing, fostering scalable and collaborative development.
  

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level data scientists and developers aiming to understand and implement deep learning techniques using the Google Colab environment.

Upon completing this training, participants will be capable of:

• Setting up and navigating Google Colab for deep learning initiatives.
• Grasping the core concepts of neural networks.
• Developing deep learning models using TensorFlow.
• Training and assessing deep learning models.
• Leveraging advanced TensorFlow features for deep learning.

This instructor-led, live training in Leon (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 Leon (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.

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

• Identify the key characteristics and benefits of cloud computing.
• Understand the differences between various cloud service and deployment models.
• Recognize the importance of industry-specific cloud solutions.
• Assess the security and compliance aspects of cloud platforms.
• Explore emerging trends and future directions in cloud technology.

This instructor-led live training in Leon (online or onsite) is designed for intermediate-level cloud engineers and operations managers who aim to improve their cloud infrastructure management using Kubiya AI.

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

• Integrating Kubiya AI into cloud infrastructure.
• Automating cloud resource provisioning and management.
• Optimizing cloud costs using AI-powered analytics.
• Enhancing cloud security with AI-driven monitoring.

This instructor-led, live training in Leon (online or in-person) is designed for intermediate-level data scientists and developers who want to efficiently apply machine learning algorithms using the Google Colab environment.

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 Leon (online or onsite) targets DevOps engineers, system administrators, and system architects at beginner to advanced levels 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 Leon (online or onsite) is aimed at 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 Leon (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 Leon (online or on-site) is designed for beginner 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 the Python programming language.
• Implement Python code in the 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 Leon (online or on-site) targets 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.

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

• Use AtomSphere and work with Boomi documents.
• Create and design complex integration processes for advanced logic and data processing.
• Manage deploy integration processes, logging, and reporting.
• Capture and handle errors.
• Apply best practices and techniques for integrating with Boomi.

This instructor-led, live training in Leon (online or onsite) is designed for beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

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

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

This instructor-led, live training in Leon (online or onsite) is designed for intermediate-level professionals seeking to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp the core principles of serverless architecture.
• Configure 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 both performance and cost efficiency.

This instructor-led, live training session in Leon (available online or onsite) is tailored for developers, system administrators, and cloud enthusiasts seeking to gain practical knowledge of OpenNebula and leverage 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 Leon (online or onsite) is aimed at intermediate-level system administrators who wish to use VMware vCenter to manage complex virtual environments.

By the end 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 delivers practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments built on OpenStack. Designed as an extended bootcamp, the course addresses core administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. With 75% of the learning conducted through workshops in a live OpenStack lab, participants develop the skills necessary to confidently administer and further develop enterprise OpenStack infrastructures.

This instructor-led, live training in Leon (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This live, instructor-led session in Leon (available onsite or remotely) targets developers looking to utilize AWS Lambda for building and deploying cloud services and applications. It removes the burden of managing the execution environment, such as servers, VMs, containers, availability, scalability, and storage.

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

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

This instructor-led live training in Leon (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:

• Configure the necessary environment to begin building integrations with Boomi.
• Grasp Boomi AtomSphere's features, architecture, and core concepts.
• Learn how to design, build, and deploy integration processes using Boomi.
• Utilize Boomi's dashboard and reporting tools to monitor applications.
• Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
• Enable and manage web services and API integration with Boomi.

This 7-day program offers a thorough, practical exploration of designing, deploying, and managing cloud-native applications using contemporary DevOps methodologies.

Attendees will learn how to architect scalable microservices systems, optimize container environments, and oversee production workloads with Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability strategies to guarantee system reliability and performance.

Great emphasis is placed on addressing real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The program wraps up by leveraging AI-powered tools to aid in troubleshooting and speed up operational decision-making.

Upon completion of the training, participants will possess a clear grasp of how to build, deploy, monitor, and sustain resilient distributed systems within a Kubernetes environment.

This program is crafted to equip non-technical professionals—including managers, business analysts, QA testers, and operations staff—with a solid grounding in cloud computing. Learners will delve into the essential concepts, advantages, and real-world applications of cloud technology to support better decision-making and actively support cloud migration efforts. The focus lies on clarifying cloud terminology, contrasting cloud and on-premises setups, understanding service models, and appreciating how cloud computing affects different organizational roles.

Upon completing this course, participants will be able to:

• Grasp the essential definitions and vocabulary of cloud computing
• Identify various cloud service models (IaaS, PaaS, SaaS)
• Distinguish among cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Contrast on-premises systems with cloud-based infrastructure
• Appreciate cloud benefits: scalability, agility, availability, and cost-effectiveness
• Recognize leading cloud platforms (AWS, Azure, GCP) and their respective services
• Understand cloud accountability: the shared responsibility model and role-based access
• Comprehend how cloud technology influences software testing, deployment, and monitoring
• Engage effectively in cloud adoption and migration projects
• Appreciate fundamental cloud security, compliance, and governance principles

This intensive 3-day training program equips participants with a robust understanding of cloud computing fundamentals, complemented by practical, hands-on experience across the industry's top cloud providers: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is organized into four distinct sessions. The first session covers general cloud computing principles, while the subsequent three focus on one major cloud platform each. Upon completion, participants will possess a clear grasp of cloud basics, practical insights into the architecture and services of each platform, and the technical skills required to deploy and manage resources in real-world environments.

This live, instructor-led training in Leon (available online or onsite) is aimed at IT architects and IT consultants who wish to adopt 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 Leon (online or onsite) is designed for cloud administrators, cloud architects, technology leaders, and financial analysts who wish to record, manage, monitor, and process their organization's financial assets in the cloud.

By the end of this training, participants will be able to apply FinOps practices within an organization to forecast costs, optimize processes, and carry out financial management operations in the cloud.

This live, instructor-led training in Leon targets beginner-level business professionals aiming to prepare for the Google Cloud Digital Leader certification.

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

• Explain how Google Cloud drives digital and data transformation.
• Describe Google Cloud’s AI/ML, infrastructure, security, and operational solutions at a business level.
• Prepare for the certification exam with practice questions and structured review.

This live, instructor-led training in Leon (online or onsite) is designed for intermediate IT professionals and technology decision-makers who aim to use 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, assess portability risks, evaluate Kubernetes and open-source platform options, and define practical adoption steps.

This course serves as comprehensive training on OpenStack. It starts with an introduction to the system and proceeds through hands-on workshops that provide practical knowledge for managing private clouds based on OpenStack. Finally, it covers troubleshooting and advanced architectural topics. The primary goal of this course is to familiarize participants with the OpenStack ecosystem while establishing a strong foundation for the further expansion and refinement of OpenStack clouds. The content includes all necessary topics to prepare for the OpenStack Administrator Certificate exam.

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

By the end of this training, participants will understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security using Keystone, and apply best practices suitable for enterprises.

This instructor-led, live training in Leon (online or on-site) targets intermediate-level IT leaders, architects, and governance professionals who wish to use sovereign cloud strategy principles to design governance models, select suitable cloud architectures, and prepare realistic cloud 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 live, instructor-led session, available both online and onsite, is designed for intermediate virtualization administrators in Leon who are considering the shift from VMware to open-source ecosystems.

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

• Set up and configure KVM, oVirt, and Proxmox VE.
• Transfer virtual workloads away from VMware.
• Establish high availability and disaster recovery mechanisms.
• Enhance performance within open-source virtualization environments.