Cloud Operations and Automation Tools

Self Paced

Online

Rating

Enrolled

Modules

Unlocking Efficiency: An Introduction to Cloud Operations and Automation Tools

In today's fast-paced technology landscape, mastering cloud operations and automation tools is essential for IT professionals. This training will cover an extensive range of cloud services, including deployment strategies, resource management, and automation best practices. Participants will gain hands-on experience with tools like Terraform, AWS CloudFormation, and Azure DevOps, which enable seamless cloud infrastructure management. By the end of the training, attendees will be equipped to enhance operational efficiency and reduce costs, all while maintaining the agility needed in cloud environments.

Skills Covered

SQL

Python

Data Mining

Tableau

Power BI

Docker

Kubernetes

AWS

Teraform

Linux

AWS

Deep Dive into Cloud Operations and Automation Tools: Strategies for Success

This comprehensive training program aims to equip IT professionals with the necessary skills to efficiently manage cloud operations using the latest automation tools. The curriculum is designed to cover essential topics beginning with cloud fundamentals, moving into the intricate details of various cloud service models, including IaaS, PaaS, and SaaS. Participants will learn about best practices in cloud architecture and the importance of scalability and security. A significant focus will be placed on automation techniques utilizing tools such as Terraform for infrastructure as code, enabling attendees to automate their environments, thus reducing manual labor and error rates. Additionally, the course will delve into AWS CloudFormation and Azure DevOps, providing participants with the expertise to build, deploy, and manage cloud resources effectively. Furthermore, participants will engage in hands-on labs, allowing them to create and deploy automated workflows that simulate real-world operations. By integrating Continuous Integration/Continuous Deployment (CI/CD) pipelines within their cloud infrastructures, they will learn how to streamline deployments and enhance development cycles. With an emphasis on real-world applicability, case studies will illuminate common challenges faced by organizations in cloud operations, and how automation can mitigate these issues. Ultimately, this training will empower professionals to leverage cloud technologies effectively, driving innovation and ensuring their organization remains competitive in the digital space.

Who is this Program Designed for?

Mid Level Manager
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What You Will Learn

Understanding AI Fundamentals

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Meet your coaches:

Smiling young man working in a tech startup

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Understanding AI Fundamentals

Meet your coaches:

Understanding AI Fundamentals

Meet your coaches:

Requirements

No prior knowledge of the subject is required

Examples of leadership experiences would be helpful to draw on

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Benefits of our Training Approach

Industry Expert

Expert-led courses designed by industry leading professionals

Learning Formats

Flexible formats: online, in-person, and blended options.

Industry Coverage

Covers a wide range of industries and skills.

Tailored Programs

Customizable programs to meet your company’s specific needs.

Engaging Learning

Interactive experiences designed to boost retention.

Team Scalability

Scalability to accommodate teams of any size

ICT50220 Diploma of Cloud Operations

Upon successful completion, you will receive the nationally recognized ICT50220 Diploma of Cloud Operations qualification. This course may include specializations in Cloud Networking, Server Management, and Automation Tools, which will be reflected on your testamur.

Employees Love Our Training

John M.

Christina streamlined our cloud infrastructure. Her DevOps expertise saved us a lot of time!

John M.

She automated our deployments seamlessly. Excellent work!

John M.

Christina is highly skilled in Kubernetes and Docker. Great to work with!

John M.

Her CI/CD solutions were spot on. I highly recommend her for any cloud project!

FAQs

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