Welcome to Cloud DevOps Engineering Career Path
About this Career Path
Cloud DevOps engineering is a dynamic and rapidly growing career path that combines expertise in cloud computing and software development practices. DevOps engineers specialise in bridging the gap between development and operations teams, enabling efficient and continuous delivery of applications and services.
During this training, students will learn how to leverage cloud platforms and tools to automate infrastructure provisioning, deploy and manage applications, monitor performance, and ensure scalability and resilience. They will develop a diverse skill set and receive support in getting certificates in cloud platforms like AWS, Azure, or Google Cloud, proficiency in scripting and automation, knowledge of containerization technologies such as Docker and Kubernetes, and strong problem-solving and troubleshooting abilities. With the help of our instructors.
By the end of this training, students can expect to be familiar with various key topics. Firstly, they should have a strong understanding of cloud platforms, including services such as virtual machines, containers, serverless computing, and storage solutions. They will possess knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation to automate infrastructure deployment. Proficiency in configuration management tools like Ansible or Chef will enable them to manage software configurations effectively. Additionally, they will gain expertise in continuous integration and deployment (CI/CD) practices using tools like Jenkins or GitLab. Students can expect a combination of theoretical knowledge and hands-on practical experience to prepare them for real-world scenarios in cloud-based development and operations.
Professional Certificates
For 3-Modules
9 months training
For 3-Modules
Beginner to Advanced
No prior knowledge required
What you will learn
Cloud Computing Fundamentals: Gain a solid understanding of cloud computing concepts, including different cloud service models (IaaS, PaaS, SaaS), cloud providers (such as Amazon Web Services, Microsoft Azure, Google Cloud Platform), and cloud deployment models (public, private, hybrid).
Collaboration and Version Control: Students will develop skills in collaborating with team members using version control systems like Git. They will learn how to work effectively in a team environment, manage code repositories, handle merge conflicts, and utilize branching strategies.
Infrastructure as Code (IaC): Learn how to define and provide infrastructure resources using configuration management tools like Terraform, CloudFormation, or Azure Resource Manager templates.
Continuous Integration and Continuous Delivery (CI/CD): Students will explore the principles and practices of CI/CD, which involves automating the process of building, testing, and deploying applications. They will learn popular tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline to create automated pipelines that streamline software delivery.
Containerization and Orchestration: Students will delve into containerization technologies like Docker and container orchestration platforms like Kubernetes. They will understand how to package applications into containers, manage containerized environments, and scale applications effectively using container orchestration tools.
Monitoring and Logging: Students will learn about various monitoring and logging tools like Prometheus, Grafana, or CloudWatch. They will explore techniques to monitor the health, performance, and availability of cloud-based systems and gain insights from log data.
Security and Compliance: Students will understand cloud security best practices and gain knowledge about securing cloud infrastructure and applications. They will learn about identity and access management, encryption, network security, and compliance frameworks like GDPR or HIPAA.
Infrastructure Automation and Configuration Management: Students will become proficient in tools like Ansible, Chef, or Puppet to automate the configuration and management of cloud resources. They will learn how to maintain consistency, enforce policies, and manage infrastructure at scale.
Cloud-native Development: Students will explore the concepts of building cloud-native applications, including microservices architecture, serverless computing, and event-driven architectures. They will learn how to leverage cloud-native services like AWS Lambda.
Problem Solving and Troubleshooting: Students will acquire problem-solving and troubleshooting skills, including identifying and resolving issues in cloud environments, optimizing performance, and ensuring high availability of applications.
Skills you will gain
Our ultimate goal at Data2Bots Academy is to train students so that they can become highly sought-after data experts around the world. We do this because we know that human capital is the greatest asset.