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DevOps with Linux is a comprehensive course that equips learners with the skills to implement DevOps practices on Linux-based systems. You will learn how to automate infrastructure provisioning, configuration management, and software deployment using various DevOps tools and technologies.
11 Lessons
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DevOps with Docker and Containerization is a comprehensive course that equips learners with the skills to build, deploy, and manage containerized applications using Docker. You will learn how to create Docker images, run containers, and orchestrate containerized applications effectively.
12 Lessons
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DevOps with Infrastructure as Code (IaC) Using Terraform is a comprehensive course that equips learners with the skills to automate the provisioning and management of infrastructure using Terraform. You will learn how to define and manage infrastructure resources as code, enabling consistent and repeatable deployments.
11 Lessons
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DevOps with Kubernetes for Container Orchestration is a comprehensive course that equips learners with the skills to implement container-based infrastructure and orchestration using Kubernetes. You will learn how to deploy, manage, and scale containerized applications efficiently, leveraging the benefits of Kubernetes for automation, scalability, and portability.
14 Lessons
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DevOps with CI/CD Using Jenkins is a comprehensive course that equips learners with the skills to implement continuous integration and continuous delivery (CI/CD) pipelines for software development projects using Jenkins, a popular open-source automation server. The course covers various aspects of DevOps, including version control, build automation, testing, deployment, and monitoring. By the end of the course, learners will be able to effectively use Jenkins to automate the software development lifecycle and deliver high-quality software products efficiently.
16 Lessons
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Machine Learning is a subset of artificial intelligence that enables computers to learn from data and improve their performance on a specific task without being explicitly programmed. It involves training algorithms on large datasets to identify patterns, make predictions, and solve complex problems. Sources and related content
59 Lessons
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MLOps is a set of practices and tools for deploying and managing machine learning models in production environments. It combines DevOps principles with machine learning to ensure efficient and reliable model deployment and maintenance.
31 Lessons
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Our DevOps solution revolutionizes software development by combining automated CI/CD pipelines, collaborative environments, and security integration. It enables seamless scalability through containerization, orchestrates deployments efficiently, and fosters continuous feedback loops. Embracing a DevOps culture, it empowers organizations to accelerate delivery, enhance collaboration, and ensure agile, high-quality software releases.
47 Lessons
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Building Web Applications using Python allows you to create dynamic and interactive websites. This course covers essential concepts like web frameworks, database integration, and front-end development, empowering you to craft robust and engaging web solutions with Python's versatility. Dive into the world of Flask or Django, harness the power of Python for backend logic, and bring your web development skills to new heights. Elevate your programming journey with hands-on projects and real-world applications.
95 Lessons