DevOps Projects is a curated collection of hands-on projects designed to help engineers learn and grow through real-world DevOps challenges. Inspired by platforms like CloudAcademy, Darey.io, and more, this open-source repository provides practical, end-to-end labs across various tools and technologies in the DevOps ecosystem.

This challenge was designed to look for your DevOps skills. This repository contains challenges to demostrates your knowledge.

We're looking for real devops. Show us that it's not just a trend and you are an authentic DevOps.

☁️ 100 Days of Azure Challenge Embarking on a 100-day Azure adventure! This repo chronicles my deep dive into core services, hands-on labs, and real-world projects. Follow along as I explore Azure Compute, Storage, Networking, Security, DevOps, and AI while preparing for certifications like AZ-900 & AZ-104. Join the challenge using #100DaysOfAzur

The Tech Academy is a licensed career school located in Portland, Oregon where students learn to code. During their coding classes on the Software Developer Boot Camp, students study computer programming and web development. The curriculum is available online, so the course can be studied from anywhere in the world. Students can take the program in classrooms located in downtown Portland or online from anywhere on the planet – The Tech Academy has local students in Portland and remote students that study from home across the United States, in Europe, etc. What sets The Tech Academy apart from other code schools is their thorough curriculum and high success rate of graduates. The Tech Academy students learn many programming languages and skills during the coding bootcamp, including: computer science fundamentals, HTML, CSS, Version/Source Control, Visual Studio, Databases, SQL, JavaScript, Python, C#, ASP.NET, Agile/Scrum project management and more. On The Tech Academy’s programming bootcamp, students learn coding through real-world, hands-on software development training. Graduates are well-rounded, full-stack, junior developers that can code on the front-end and back-end. Not only can they create dynamic websites, but are trained in application development as well. Optional courses in mobile development, PHP, DevOps, MVC and other classes exist as well. The Tech Academy is well reviewed on many sites including Course Report and SwitchUp. Their coding school works with students to get them on study schedules that fit with their life. Students watch online coding tutorials and programming videos, read development books and articles, and partake in real world code exercises and challenges. By the end of this code academy, students have a strong resume and portfolio that they can use to get hired as junior level software developers.

The Cloud Resume Challenge is a hands-on project designed to help you bridge the gap from cloud certification to cloud job. It incorporates many of the skills that real cloud and DevOps engineers use in their daily work. This repo is created as a part of the bootcamp by Andrew Brown

Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Effectively deploying machine learning models requires competencies more commonly found in technical fields such as software engineering and DevOps. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles. The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently. In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills to participate in the development of leading-edge AI technology to solve real-world problems.

Python is point of fact the Next Big Thing to investigate. There is no need to be worried about its worth, profession possibilities, or accessible positions. Python's commitment to the advancement of your calling is huge, as its notoriety among designers and different areas is step by step waning. Python is "the one" for an assortment of reasons. It's a straightforward pre-arranged language that is not difficult to get. Subsequently, the general improvement time for the task code is diminished. It accompanies an assortment of structures and APIs that assistance with information examination, perception, and control. Employment opportunities in Python While India has a critical interest for Python engineers, the stock is very restricted. We'll utilize a HR master articulation to validate this. For both Java and Python, the expert was relied upon to employ ten developers. For Java, they got over 100 fantastic resumes, however just eight for Python. In this way, while they needed to go through an extensive method to get rid of resilient people, they had no real option except to acknowledge those eight individuals with Python. What does this say about the circumstance to you? Regardless of Python's straightforward language structure, we desperately need more individuals in India to update their abilities. This is the reason learning Python is a particularly colossal opportunity for Indians. With regards to work openings, there may not be numerous for Python in India. Notwithstanding, we have countless assignments accessible per Python developer. In the relatively recent past, one of India's unicorn programming organizations was stood up to with an issue. It had gotten a $200 million (Rs. 1200 crore) arrangement to develop an application store for a significant US bank. Be that as it may, the organization required talented Python developers. Since Python was the best language for the undertaking, it wound up paying a gathering of independent Python developers in the United States multiple times the charging sum. For sure and Naukri, for instance, have 20,000 to 50,000 Python work postings, showing that Python vocation openings in India are copious. It is an insightful choice to seek after a profession in Python. The diagrams underneath show the absolute number of occupation advertisements for the most well known programming dialects. Python Job Descriptions Anyway, what sorts of work would you be able to get in the event that you know Python? Python's degree is broad in information science and investigation, first off. Customers regularly demand that secret examples be separated from their informational indexes. In AI and man-made reasoning, it is additionally suggested. Python is a top choice among information researchers. Furthermore, we figured out how Python is used in web advancement, work area applications, information examination, and organization programming in our article on Python applications. Python Job Profiles With Python on your resume, you might wind up with one of the accompanying situations in a presumed organization: 1. Programmer Investigate client necessities Compose and test code Compose functional documentation Counsel customers and work intimately with other staff Foster existing projects 2. Senior Software Engineer Foster excellent programming engineering Mechanize assignments by means of prearranging and different apparatuses Survey and troubleshoot code Perform approval and confirmation testing Carry out form control and configuration designs 3. DevOps Engineer Send refreshes and fixes Break down and resolve specialized issues Plan systems for support and investigating Foster contents to mechanize representation Convey Level 2 specialized help 4. Information Scientist Recognize information sources and mechanize the assortment Preprocess information and dissect it to find patterns Plan prescient models and ML calculations Perform information representation Propose answers for business challenges 5. Senior Data Scientist Manage junior information experts Construct logical devices to create knowledge, find designs, and foresee conduct Execute ML and measurements based calculations Propose thoughts for utilizing had information Impart discoveries to colleagues While many significant firms are as yet utilizing Java, Python is a more seasoned yet at the same time well known innovation. Python's future is splendid, on account of: 1.Artificial Intelligence (AI): Machine knowledge is alluded to as man-made consciousness. This is as a conspicuous difference to the regular astuteness that people and different creatures have. It is one of the most up to date advances that is clearing the globe. With regards to AI, Python is one of the main dialects that rings a bell; truth be told, it is probably the most ideally equipped language for the work. We have different structures, libraries, and devices devoted to permitting AI to swap human work for this objective. It supports this, however it additionally further develops productivity and precision. Discourse acknowledgment frameworks, self-driving vehicles, and other AI-based advancements are models. The accompanying devices and libraries transport for these parts of AI: AI – PyML, PyBrain, scikit-learn, MDP Toolkit, GraphLab Create, MIPy General AI – pyDatalog, AIMA, EasyAI, SimpleAI Neural Networks – PyAnn, pyrenn, ffnet, neurolab Normal Language and Text Processing – Quepy, NLTK, genism 2. Enormous Data Enormous Data is the term for informational collections so voluminous and complex that conventional information handling application programming is insufficient in managing them. Python has assisted Big Data with developing, its libraries permit us to break down and work with a lot of information across groups: Pandas scikit-learn NumPy SciPy GraphLab Create IPython Bokeh Agate PySpark Dask 3. Systems administration Python additionally allows us to design switches and switches, and perform other organization mechanization undertakings cost-viably. For this, we have the accompanying Python libraries: Ansible Netmiko NAPALM(Network Automation and Programmability Abstraction Layer with Multivendor Support) Pyeapi JunosPyEZ PySNM Paramiko SSH Python Course

Real-World Challenges for students of the tools that enable the DevOps Practice

This is a 30day DevOps All Stars Challenge where there is big dive into the world of AWS and build real-world cloud project

This repository tracks my 40-day DevOps learning challenge, where I upload daily practice, notes, and hands-on tasks. The goal is to build strong DevOps fundamentals through consistent learning and real-world tooling.

The Cloud Resume Challenge is a hands-on project designed to help you bridge the gap from cloud certification to cloud job. It incorporates many of the skills that real cloud and DevOps engineers use in their daily work.

The Cloud Resume Challenge is a hands-on project designed to help you bridge the gap from cloud certification to cloud job. It incorporates many of the skills that real cloud and DevOps engineers use in their daily work.

The Cloud Resume Challenge is a hands-on project designed to help you bridge the gap from cloud certification to cloud job. It incorporates many of the skills that real cloud and DevOps engineers use in their daily work.

Daily hands-on DevOps tasks from the 100 Days DevOps Challenge by KodeKloud, documented as a real-world learning portfolio.

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Challenge for DevOps

This repository contains the 100 days challenge for devops real-tasks

The 30 Days DevOps Challenge is a focused, hands-on journey designed to quickly build your DevOps skills. Each day, you’ll tackle essential tools and practices, gaining the confidence to apply DevOps in real-world projects.

The AWS cloud resume challenge is a series of tasks designed to help aspiring cloud/devops engineers work on a proejct that mirrors some real world challenges they would face in the workplace. It

100 Days of KodeKloud – AWS Cloud Challenge This repository documents my journey through the 100 Days of KodeKloud Cloud Challenge, focusing on AWS services, hands-on labs, DevOps practices, and real-world cloud projects.

This project is DAY 3 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 1 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 7 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 6 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 4 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 2 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This project is DAY 5 of 7 - Day DevOps Challenge to build CI/CD pipeline using AWS tools and automate the testing and deployment process of a real application.

This repository documents my progress in the 100 Days of DevOps challenge by KodeKloud. Each day includes practical labs, scripts, configurations, troubleshooting scenarios, and real-world DevOps implementations covering Linux, Networking, Containers, Kubernetes, Infrastructure as Code, Automation, and Cloud technologies.

Welcome to the DevOps Hackathon repository! This repository is a hub for real-life use case scenario-based problems and solutions, focusing on DevOps practices. The challenges provided in the "problems.md" files are designed to enhance your skills in deploying, managing, and optimizing various aspects of modern applications.