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Cloud Computing and DevOps

The Cloud Computing and DevOps course provides participants with the essential knowledge and skills necessary for designing, deploying, and managing scalable cloud infrastructures while incorporating DevOps methodologies to enhance software delivery efficiency.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. The Cloud Computing and DevOps course provides participants with the essential knowledge and skills necessary for designing, deploying, and managing scalable cloud infrastructures while incorporating DevOps methodologies to enhance software delivery efficiency.

  2. It encompasses fundamental cloud computing principles, such as IaaS, PaaS, SaaS, and multi-cloud strategies, along with practical experience on platforms like AWS, Azure, and Google Cloud.

  3. The curriculum integrates core DevOps concepts, including CI/CD pipelines, containerization, orchestration, and infrastructure automation, equipping learners to tackle real-world challenges in cloud and DevOps settings.

  4. By merging cloud computing with DevOps, this course meets the increasing industry demand for professionals proficient in both domains. It covers critical subjects such as cloud architecture and deployment models, the DevOps lifecycle, tools like Docker, Kubernetes, Jenkins, and Terraform, as well as continuous integration, delivery, and deployment, and monitoring and scaling of cloud applications.

  5. This course is well-suited for IT professionals, software engineers, and individuals aiming to enhance their careers in cloud and DevOps fields.

CERTIFICATION:

  1. Upon finishing the course, participants will receive a Certificate in Cloud Computing and DevOps, which confirms their expertise in several key areas.

  2. These include the design and management of cloud infrastructure across platforms such as AWS, Azure, or Google Cloud, the automation of software delivery pipelines through DevOps methodologies, and the deployment and management of containerized applications utilizing Kubernetes and Docker.

  3. To qualify for certification, participants must complete all course modules and quizzes, submit a practical capstone project that showcases their cloud and DevOps skills, and achieve a minimum score of 70% on the final assessment.

  4. This certification significantly improves career prospects in fields such as cloud engineering, DevOps engineering, and IT operations.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. By the conclusion of the course, participants will possess the ability to comprehend fundamental principles of cloud computing, encompassing various deployment models such as public, private, and hybrid, as well as service models including IaaS, PaaS, and SaaS.

  2. They will be equipped to deploy, manage, and secure cloud environments utilizing prominent platforms like AWS, Azure, or Google Cloud. Participants will also learn to implement DevOps methodologies to streamline software development, testing, and deployment workflows.

  3. Additionally, they will be capable of establishing and overseeing CI/CD pipelines through tools like Jenkins, GitLab, or GitHub Actions, and utilizing containerization technologies such as Docker for application packaging and deployment.

  4. Furthermore, they will orchestrate containerized applications with Kubernetes, focusing on scaling and monitoring, automate infrastructure provisioning via Infrastructure as Code (IaC) tools like Terraform and Ansible, and monitor cloud applications and infrastructure with tools such as Prometheus, Grafana, and CloudWatch.

  5. Finally, they will design and carry out a capstone project that integrates cloud computing and DevOps practices to address a real-world challenge.

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Course Curriculum

Introduction to Cloud Computing
  1. What is Cloud Computing?
    • Definition, characteristics, and types (Public, Private, Hybrid).
    • Benefits and challenges of cloud computing.
  2. Cloud Service Models
    • Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS).
  3. Cloud Deployment Models
    • Understanding on-premise, cloud, and hybrid environments.
Cloud Service Providers
  1. Overview of Major Cloud Providers
    • AWS, Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud.
  2. Getting Started with AWS
    • AWS core services: EC2, S3, RDS, and Lambda.
    • Setting up an AWS account and understanding the AWS Management Console.
  3. Introduction to Microsoft Azure
    • Azure Virtual Machines, Blob Storage, and Azure App Service.
  4. Google Cloud Platform Basics
    • GCP Compute Engine, Cloud Storage, and BigQuery.
Introduction to DevOps
  1. What is DevOps?
    • Principles, practices, and benefits.
    • The DevOps lifecycle: Plan, Develop, Build, Test, Release, Deploy, Operate, Monitor.
  2. Key Tools in DevOps
    • CI/CD tools: Jenkins, GitHub Actions, GitLab CI/CD.
    • Configuration management tools: Ansible, Chef, Puppet.
    • Monitoring tools: Prometheus, Grafana, Nagios.
Version Control with Git and GitHub
  1. Version Control Systems
    • What is Git, and why use it for DevOps?
    • Installing and setting up Git.
  2. Using Git
    • Basic commands: init, add, commit, push, pull.
    • Branching, merging, and resolving conflicts.
  3. Collaboration with GitHub
    • Creating repositories, pull requests, and code reviews.
Continuous Integration and Continuous Deployment (CI/CD)
  1. Understanding CI/CD Pipelines
    • Benefits of automation in development workflows.
    • The role of CI/CD in DevOps.
  2. Implementing CI/CD
    • Setting up pipelines with Jenkins, GitHub Actions, and GitLab.
    • Automating builds, tests, and deployments.
Containerization and Orchestration
  1. Introduction to Containers
    • What are containers, and why use Docker?
    • Building and running Docker containers.
  2. Orchestrating Containers
    • Introduction to Kubernetes (K8s).
    • Managing pods, deployments, and services.
    • Scaling and monitoring Kubernetes clusters.
Infrastructure as Code (IaC)
  1. What is IaC?
    • Benefits of IaC in DevOps workflows.
  2. Using Terraform
    • Writing Terraform configurations for provisioning resources.
    • Deploying infrastructure on AWS, Azure, or GCP.
  3. Ansible Basics
    • Automating configuration management with Ansible playbooks.
Monitoring and Logging
  1. Monitoring in DevOps
    • Importance of monitoring applications and infrastructure.
  2. Tools for Monitoring
    • Setting up Prometheus and Grafana dashboards.
    • Using ELK (Elasticsearch, Logstash, Kibana) for centralized logging.
Capstone Project
  1. End-to-End Cloud and DevOps Project
    • Design and deploy a cloud-based application with a CI/CD pipeline.
    • Use Docker for containerization and Kubernetes for orchestration.
    • Implement monitoring, logging, and security best practices.

Training Features

Hands-on Projects

Work on real-world scenarios such as deploying web applications, container orchestration, and infrastructure automation.

Comprehensive Coverage

Covers all aspects of Cloud Computing and DevOps, from basics to advanced tools.

Interactive Learning

Virtual labs, coding exercises, and live project sessions.

Practical Tools and Techniques

Training on tools like AWS, Jenkins, Docker, Kubernetes, Terraform, and Prometheus.

Industry-Relevant Focus

Aligns with current trends and practices in cloud and DevOps roles.

Certification

Earn a professional certificate to validate your skills in Cloud Computing and DevOps.

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