DevOps Learn Agile CI/CD Process for Professionals and Teams

Labs included for CCNA and CCNP.Note: this course is unique on Udemy (and probably on most of the rest of the Internet as well). If you're the least interested in networking, you will benefit greatly from this course.The usual options today only take you so far. Emulator software such as the routers in Cisco Packet Tracer lack many of the functions and commands needed for CCNA certification, and they lack a Lot of functions and technologies for CCNP or CCIE.And GNS3 is a cheap-quality product with a difficult user interface, and it requires a Cisco contract for access to router images. Our solution is built on a top-rated, commercial-grade hypervisor (ESXi) and free demo versions of the Cisco routing software.In this course you will learn how to create a lab network using (demo) versions of the real Cisco IOS and IOS XR routing software, which contain support for all advanced routing technologies, including BGP and MPLS.All you need is this course and free (or very low cost) software and equipment, like an old left-over computer and some applications.ENROLL TODAY or try out our free sample lectures.IntroductionFREE PREVIEW: IntroductionFREE PREVIEW: Welcome care-package0. PreparationsPreparations: Creating an IP address planPreparations: Designing the network1. InstallationObtain and download the systemPrepare the installation mediaAccess the BIOS setup and change the boot orderInstall, configure and access the hypervisor2. Using the platformBasic initial configuration of the hypervisorInstalling your first virtual machineGetting a Windows license keyInstalling a Windows virtual machine [FAILED attempt]

Are you a data engineer, data analyst, or big data enthusiast who wants to build a strong foundation in Linux?If yes, then this course – Linux for Data Engineers (Hands-On) – is designed specifically for you.Linux is the backbone of modern data engineering and big data systems. Most of the tools in the Hadoop and Spark ecosystem run on Linux-based servers. As a data engineer, being comfortable with Linux commands, file systems, permissions, and shell scripting is not optional – it’s essential.In this course, you will go from Linux basics to advanced shell scripting, with a focus on practical, hands-on learning. You will not only learn the commands but also understand how to use them in real-world data engineering scenarios such as working with log files, automating workflows, and managing data pipelines.By the end of the course, you will have the Linux skills every data engineer needs to succeed in real-world big data projects.What You’ll LearnUnderstand Linux distributions and why Linux is important for data engineers.Install Ubuntu Desktop on your machine (step-by-step, including Windows 10 setup).Explore the Linux file system structure and navigate effectively.Perform basic Linux operations (files, directories, users, processes).Work with system log files such as /var/log to monitor and troubleshoot.Learn and use file permissions (chmod) to secure files.Practice with Linux editors (nano and vi) to edit files and configurations.Master keyboard shortcuts to increase productivity.Writ

Unlock the power of containers and orchestration with this comprehensive hands-on course in Docker, Kubernetes, and Azure Kubernetes Service (AKS). Whether you're a developer, DevOps engineer, or cloud enthusiast, this course will guide you step-by-step from the fundamentals of containerization to deploying real-world, scalable applications in a production-grade Kubernetes cluster with best practices.You'll begin by mastering Docker, understanding how to build, manage, and optimize containers efficiently for different environments. Then, you’ll dive deep into Kubernetes, learning how to orchestrate workloads using core concepts like Pods, Deployments, Services, ReplicaSets, Volumes, and more, while also exploring advanced networking and security features.With practical labs, YAML configurations, and cloud-native use cases, you'll also gain hands-on experience with:Kubernetes architectureKubernetes Replicaset DeploymentsKubernetes resource management using Namespaces, Quotas, and LimitRangesRolling updates, Blue-Green deployments, and Canary releases for zero downtimeManaging secrets, config maps, and connecting securely with external tools like Azure Key Vault and monitoring solutionsReal-world Kubernetes implementation on Azure Kubernetes Service (AKS) including cluster scaling, monitoring, and troubleshootingBy the end of the course, you’ll be able to confidently build, deploy, scale, and manage containerized applications — preparing you for demanding DevOps roles, cloud migrations, and production deployments across various industries.

In today’s fast-evolving digital landscape, cloud computing has emerged as a cornerstone for businesses seeking efficiency and scalability. Microsoft Azure, a leading cloud computing platform, provides a host of services that cater to various business needs. The AZ-900 certification, known as the Microsoft Azure Fundamentals, is designed for individuals looking to demonstrate foundational knowledge of cloud concepts and Azure services. The practice tests associated with this certification serve as invaluable tools for exam preparation, reinforcing learning and assessing readiness.AZ-900 certification is ideal for those who are new to Azure and cloud services. It targets a broad audience, including IT professionals, business stakeholders, and anyone interested in understanding cloud computing's basic principles. The practice test mirrors the actual exam format, comprising multiple-choice questions that reflect the various Azure services and solutions. By engaging with these practice tests, candidates gain familiarity with the types of questions they will face and can gauge their preparedness for the formal examination.One of the key advantages of taking practice tests is the opportunity to reinforce theoretical knowledge through practical application. In the case of the AZ-900, the practice test covers essential areas such as cloud concepts, core Azure services, security, compliance, and pricing. By answering practice questions, candidates can identify their strengths and weaknesses in these areas, allowing for focused study and preparation. This process not only bolsters confidence but also enhances retention of the material, making it more likely that candidates will succeed on the actual exam.Moreover, this practice test provides insight into the exam structure, which is beneficial for time management. Understanding the pacing required to complete the exam within the allocated time frame is crucial. Practice tests typically allow candidates to simulate th

Unveiling the World of GIS and Remote SensingThis course provides a practical, project-oriented introduction to Geographic Information Systems (GIS) and Remote Sensing using the newest long-term release of QGIS. QGIS is a powerful, free, and open-source geospatial platform. In this course, you will learn how to complete full GIS project workflows, including data acquisition, preprocessing, spatial analysis, and map production.Fast-Track Your Geospatial SkillsUsing real datasets and hands-on exercises, you will build practical competence in:• GIS fundamentals• Raster and vector data handling• Spatial analysis techniques• Introductory remote sensing workflows in QGIS• Map design and data visualizationBy the end of the course, you will be able to perform GIS and Remote Sensing tasks confidently and follow a structured, professional approach to geospatial project analysis.Your Learning PathGetting Started with QGIS• Installation and interface overview• Essential plug-ins• Understanding geospatial data formats and structuresGIS Analysis Essentials• Core raster and vector operations• Spatial queries• Data preparation, cleaning, and managementRemote Sensing in QGIS• Importing and viewing satellite imagery• Basic spectral analysis• Working with raster layers for environmental and land-use applicationsReal GIS Projects Step by Step• Problem definition• Data collection and preprocessing• Spatial analysis workflows• Map generation and interpretationVisualize and Communicate ResultsYou will learn how to design clear, high-quality maps that communicate geospatial information effectively. These skills are essential for academic work, environmental decision-making, planning, and professional reporting.Applications Across Multiple Sectors

Train effectively for Oracle exam 1Z0‑1042‑25.This course delivers timed mock exams that mirror the format of the real Oracle Cloud Infrastructure Application Integration Professional certification. Each practice test simulates official testing conditions. You will build accuracy, pacing, and confidence.Key domains in the 1Z0‑1042‑25 syllabus include:Getting started with OIC integrations, such as components, integration workflow, and web services basics (WSDL, SOAP, REST, JSON), weighting around 18 % Using OIC connections and adapters including creating and configuring connections and understanding the connectivity agent, at about 21 % Creating orchestrated integrations using lookups, data mapper, JavaScript libraries, orchestration flows, file handling, and fault handling framework, forming roughly 40 % of the exam .Creating scheduled integrations through scheduling workflows, converting to app-driven flows, and using parameters, accounting for approximately 11 % .Testing, monitoring, and troubleshooting integrations, including activation/deactivation, testing REST triggers, import/export, and troubleshooting, comprises about 16 %.Every mock exam is strictly timed. You strengthen your knowledge and improve your speed. You learn to recognize which areas need extra attention. Practicing under test-like conditions builds mental stamina and sharpens exam readiness. You become skilled at handling pressure and managing complex scenarios efficiently.By completing these mock exams, you will step into the official 1Z0‑1042‑25 exam with clarity and calm. You will be fully equipped to earn the Oracle Cloud Infrastructure 2025 Application Integration Professional certification.