DevOps with Multi Cloud
DevOps with Multi Cloud
Multi-Cloud DevOps with Hands-On Training
Master DevOps across Azure, AWS, and GCP with hands-on training in containerization, CI/CD, automation, and monitoring. Learn to deploy, manage, and optimize applications in multi-cloud environments using modern DevOps tools.
- Master Docker and Kubernetes for containers
- Automate cloud tasks with Python and Boto3
- Deploy apps across Azure, AWS, and GCP
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- Required Fields
- Learn DevOps with Gen AI
- 150+ Hours of live instructor-led training
- 100+ Hours of Practical Assignments
DevOps Essentials
Managing Source Code - Git and GitHub
Module 3
Advance Your Skills in Multi-Cloud DevOps
The DevOps with Multi-Cloud course offers in-depth training on modern DevOps practices across top cloud platforms—Azure, AWS, and Google Cloud (GCP). It is designed to equip you with practical skills for deploying and managing scalable applications in diverse environments. You’ll explore containerization using Docker and Kubernetes, build automated CI/CD pipelines with Jenkins, GitOps, and GitLab CI/CD, and use Python (Boto3) for cloud automation. The course also includes real-time logging and monitoring using Prometheus and Grafana. You’ll learn how to integrate popular DevOps tools like Ansible and Terraform to optimize delivery pipelines and manage infrastructure. Whether you’re migrating workloads or scaling applications, this course gives you the multi-cloud expertise to succeed in real-world DevOps scenarios. Perfect for professionals ready to advance their careers.
What You’ll Learn
By completing this course, you will be able to:
Apply modern DevOps methodologies within multi-cloud setups.
Design and execute strategies for cloud operations using Azure, AWS, and Google Cloud.
Deploy, manage, and scale applications using Docker and Kubernetes.
Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, and GitOps workflows.
Automate tasks and cloud services through Python scripting with Boto3.
Work seamlessly with key DevOps tools, including Ansible, Jenkins, and Terraform, for infrastructure and workflow automation.
Set up robust monitoring and logging solutions using Prometheus and Grafana for real-time insights.
Plan and carry out efficient cloud workload migrations while enhancing performance across cloud environments.
Who Should Join
To get the most out of this course, you should have:
A foundational knowledge of DevOps concepts and cloud services (Azure, AWS, or GCP).
Experience or familiarity with CI/CD practices and container tools like Docker.
Basic programming or scripting experience, ideally in Python.
Your Certificate Awaits
Industry Recognition
Connect with tech professionals and peers, enhancing your standing in the industry
Broad Visibility
Share your certificate easily across platforms to highlight your expertise
Recognised Achievement
Gain an officially recognized and verified certificate to showcase your skills
Professional Trust
Build trust with a globally recognized certificate that confirms your expertise
Significant Demand Growth Since 2020
DevOps training programs focus on bridging the gap between software development and IT operations to boost collaboration, efficiency, and software deployment speed. These courses typically explore key practices like continuous integration, infrastructure automation, and the use of industry tools such as Docker, Kubernetes, and Jenkins.
Career Transformation
Master DevOps. Transform Your Career.
Hands-on training, real projects, and expert guidance to launch you into the tech industry.
Enterprise Training That Drives Growth
Empower your teams with customized training programs designed to boost productivity, spark innovation, and build future-ready skills.
