3 Months Cloud DevOps Accelerated Training
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- 1000+ Students
- 3 Months
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- Training will equip you for a career in DevOps, a rapidly developing industry that connects software developers and operations.
- 4.7 (455 ratings)
- Work on real-world projects alongside industry experts
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- Enjoy flexible payment plans—up to 36 months
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- Benefit from pre- and post-interview coaching, as well as on-the-job support
- Receive mentorship from seasoned professionals
Cloud DevOps Training
MotivaLogic’s DevOps Training Programme equips you with the essential skills to bridge the gap between software development and IT operations. Covering key methodologies like CI/CD, Infrastructure as Code (IaC), automation, containerisation, and cloud deployment, this hands-on course prepares you for real-world DevOps challenges. You will gain expertise in industry-leading tools such as Docker, Kubernetes, Jenkins, Terraform, Ansible, and scripting with Linux and Python. The programme also covers version control and collaboration tools like Git and GitHub, enabling seamless teamwork and efficient code management. Designed for both beginners and professionals looking to upskill, this programme blends theoretical foundations with practical labs, real-world case studies, and industry best practices to ensure a comprehensive learning experience.
Courses
- The course begins with an introduction to the core concepts of cloud computing and DevOps. Students learn about the different cloud deployment models (public, private, hybrid) and service models (IaaS, PaaS, SaaS), enabling them to understand the flexibility and scalability of cloud platforms. The foundational principles of DevOps are also covered, including Continuous Integration (CI), Continuous Deployment (CD), and Infrastructure as Code (IaC). This week sets the stage for understanding the synergy between cloud computing and DevOps, emphasizing their role in modern IT infrastructure and software delivery.
Tech Stack: Foundational knowledge of cloud platforms like AWS; overview of DevOps tools like Jenkins, Docker, and Git.
- This week focuses on AWS compute services, with a deep dive into EC2 for provisioning and managing virtual servers. Students learn about EC2 instance types, creating key pairs for secure SSH access, and configuring security groups for controlled access. The Elastic Block Store (EBS) is introduced to demonstrate persistent storage for instances. The concept of snapshot is also introduced as a way to backup data stored in the EBS. This knowledge is critical for deploying scalable and flexible compute resources in the cloud.
Tech Stack: AWS EC2, AWS EBS, AWS EBS Volume, AWS EBS Snapshot, and AWS Management Console.
- SELF-STUDY- Introduction to Linux & Linux File Permission
This self-paced module introduces participants to Linux basics, including command-line operations and managing file permissions, which are essential for server administration.
Tech Stack: Linux (Ubuntu, Redhat), Shell/Bash scripting, Git Bash.
- Learners are introduced to the versatility of Amazon S3 for scalable object storage. Topics include creating and managing buckets, static website hosting, versioning, lifecycle policies, and securing data with bucket policies. The week also covers Identity and Access Management (IAM) to manage user access and permissions, along with configuring fine-grained access controls using policies, a cornerstone of AWS security. By the end of this week, students can manage storage solutions and secure AWS environments effectively.
Tech Stack: AWS S3, AWS IAM (User, User Group, Policy, Role), AWS CLI.
- Students learn about DNS and its implementation with AWS Route 53, configuring domains, and routing traffic based on latency, geolocation, or health checks. The serverless segment introduces AWS Lambda, teaching students how to build and deploy event-driven applications. By integrating Lambda with other AWS services like API Gateway and S3, students understand how to create scalable and cost-effective applications without managing underlying servers.
- SELF-STUDY- Intro to Networking and IP addresses
In a self-paced module, students explore networking fundamentals, including IP addressing, subnetting, and how data flows in a network. This foundational knowledge prepares them for advanced topics like VPCs and load balancing in subsequent weeks.Tech Stack: AWS Route 53, AWS Lambda, AWS Transcribe, AWS S3, AWS IAM Role.
- This week covers the creation and management of secure and isolated AWS networks using VPCs. Students configure subnets, route tables, NAT gateways, and internet gateways, understanding how to enable secure communication within and outside the VPC. They also learn to apply security group and network ACL configurations to enforce traffic rules.
Tech Stack: AWS VPC, AWS Subnets, AWS Internet Gateway, AWS NAT Gateway, AWS Route Tables & Routes, AWS Security Group, AWS EC2, Apache Webserver & MySQL.
- This week sees students implementing Elastic Load Balancers to distribute traffic across multiple instances, ensuring high availability and fault tolerance. They learn to configure target groups, health checks, and listener rules to enhance application reliability and security.
Tech Stack: AWS VPC, AWS Subnets, AWS Internet Gateway, AWS Route Tables & Routes, AWS Security Group, AWS ELB, AWS EC2, Apache Webserver.
- Building on high availability, this week students explore Auto Scaling Groups to automatically adjust the number of EC2 instances based on traffic demands. They configure scaling policies and alarms using CloudWatch to ensure applications remain cost-effective and performant under varying loads.
Tech Stack: AWS VPC, AWS Subnets, AWS Internet Gateway, AWS Route Tables & Routes, AWS Security Group, AWS Auto Scaling Group, AWS EC2, AWS CloudWatch Apache Webserver, sha1sum tool.
- This week focuses on Git, the most widely used version control system. Students learn essential commands to track changes, manage branches, and collaborate on repositories. Advanced topics include resolving merge conflicts, using Git workflows, and integrating Git with remote repositories like GitHub for effective collaboration in DevOps pipelines.
Tech Stack: Git/GitHub, Git Bash.
- This week introduces Terraform, a leading IaC tool, enabling students to automate infrastructure deployment. They learn to write HCL (HashiCorp Configuration Language) to define AWS resources like EC2, S3, and VPCs declaratively. Integrating Terraform with VCS ensures version-controlled infrastructure changes, promoting collaboration and accountability. Learners will provision their first infrastruture using Terraform and then push the infrastructure code to a new GitHub repository.
Tech Stack: Terraform, AWS CLI, Git/GitHub.
- Students dive into Ansible for automating configuration management and application deployment. They create playbooks to define tasks declaratively and integrate Ansible with IaC tools like Terraform to streamline workflows. This week emphasizes the synergy between Ansible, VCS, and IaC for consistent and automated infrastructure management.
Tech Stack: Ansible, Terraform, AWS CLI, Git/GitHub.
- Jenkins takes center stage as students learn to create pipelines for automating CI/CD workflows. By integrating Jenkins with IaC and VCS, students automate tasks like building, testing, and deploying applications. They also explore advanced features like Jenkins agents and plugins to optimize pipeline execution.
Tech Stack: Jenkins, Java, Maven, Terraform, AWS CLI, Git/GitHub.
- This week focuses on containerization with Docker, teaching students to create, manage, and deploy containerized applications. Kubernetes is introduced for orchestrating containers, covering pods, deployments, and services. By integrating with IaC and VCS, students automate the deployment and scaling of containerized applications in production environments.
Tech Stack: Docker, Kubernetes, Java, Maven, Terraform, AWS CLI, Git/GitHub.
- Monitoring and observability are crucial topics this week. Students learn to monitor application and infrastructure performance using Prometheus and Grafana. They implement centralized logging with the ELK stack and explore advanced monitoring with New Relic. Integration with IaC ensures consistent monitoring configurations across environments.
Tech Stack: Prometheus, Grafana, Elasticsearch, Logstach, Kibana, File Beats, Java, Terraform, AWS CLI, Git/GitHub.
- The final week focuses on integrating security into the DevOps workflow, ensuring that students are equipped to build secure, compliant, and reliable systems. This week emphasizes the concept of DevSecOps, where security is treated as a shared responsibility and is embedded throughout the development and operations lifecycle. The curriculum covers key areas such as Software Composition Analysis (SCA), Static Application Security Testing (SAST), Infrastructure as Code (IaC) Scanning, and Dynamic Application Security Testing (DAST). These tools and methodologies help identify vulnerabilities at different stages of the software delivery pipeline. The week culminates in a capstone project, where students apply these principles to design and secure a complete cloud-based solution.
Tech Stack: Sonaqube, OWASP, OWASP ZAP, Trivy, Checkov.
Projects
This project equips learners with a deep understanding of designing and deploying scalable and resilient database architectures in AWS, an essential skill for cloud professionals. By working with Amazon RDS Multi-AZ and Read Replica setups, learners gain insight into achieving high availability and fault tolerance in production systems, which is critical for minimizing downtime and ensuring business continuity.
Learners will also develop the ability to optimize database performance by distributing read traffic through Read Replicas. This knowledge is crucial for applications with heavy read operations, as it enables better resource utilization and improves response times during peak loads. Additionally, understanding asynchronous replication helps learners grasp data consistency models and trade-offs in distributed systems.
Tech Stack Used: AWS RDS, Read Replica, AWS Console
This project focuses on configuring versioning in Amazon S3, one of AWS’s most widely used object storage services. Versioning is a powerful feature that allows users to preserve, retrieve, and restore every version of every object stored in a bucket. Learners will explore the critical role of versioning in data protection, disaster recovery, and change management for object storage.
By the end of the project, learners will have a hands-on understanding of enabling versioning, managing versioned objects, and integrating versioning into workflows for applications that depend on reliable data storage and retrieval. This experience builds a strong foundation in designing storage systems with robust data integrity and resilience.
Tech Stack Used: AWS S3 Bucket
This project focuses on migrating a MySQL database to Amazon Aurora, a fully managed, highly available relational database service on AWS, using the AWS Database Migration Service (DMS). Learners will gain hands-on experience in setting up and executing a seamless database migration process while ensuring data integrity and minimal downtime. This project highlights best practices for database migration and equips learners with the knowledge to handle real-world scenarios involving cloud-based database transitions.
This project focuses on migrating a MySQL database to Amazon Aurora, a fully managed, highly available relational database service on AWS, using the AWS Database Migration Service (DMS). Learners will gain hands-on experience in setting up and executing a seamless database migration process while ensuring data integrity and minimal downtime. This project highlights best practices for database migration and equips learners with the knowledge to handle real-world scenarios involving cloud-based database transitions.
Tech Stack Used: AWS Database Migration Service (DMS), Source MySQL Database, Amazon Aurora AWS Database Migration Service (DMS), Source MySQL Database, Amazon Aurora
This project demonstrates how to create and mount an Amazon Elastic File System (EFS) to one or more Amazon EC2 instances, enabling shared access to a file system across multiple instances. Amazon EFS is a scalable, fully managed, and elastic network file system designed for use with AWS Cloud services and on-premises resources. This project showcases how EFS facilitates shared storage, making it an ideal solution for use cases like content management, analytics, and application data sharing. By deploying two EC2 instances and mounting the EFS file system on both, learners gain practical experience in setting up shared, centralized storage. The project emphasizes security, scalability, and resilience while demonstrating the ease of managing storage in a cloud environment.
Tech Stack Used: Amazon Elastic File System (EFS), Amazon EC2, AWS Security Groups, Linux (Amazon Linux), EFS Mount Helper, AWS Management Console
This tutorial demonstrates how to migrate data from Amazon EBS to Amazon EFS, highlighting the benefits of each storage solution and providing step-by-step instructions for the transition process. Learners will understand the key differences between EBS and EFS, configure AWS resources, and migrate an existing directory from EBS to EFS.
Tech Stack Used: Amazon EBS, Amazon EFS, AWS EC2 Instances, nfs-kernel-server
This project demonstrates how to secure a webserver hosted on an Ubuntu instance using Nginx and Let’s Encrypt. Let’s Encrypt is a free, automated, and open certificate authority that provides SSL/TLS certificates, enabling secure HTTPS connections for websites. The project guides learners through installing and configuring Nginx, obtaining and applying SSL/TLS certificates using Certbot, and ensuring the certificates are automatically renewed.
By the end of the project, learners will have a fully operational and secure Nginx webserver accessible via HTTPS, meeting modern security standards for web applications. This ensures secure communication and boosts user trust by encrypting data between clients and servers.
Tech Stack Used: Nginx, Let’s Encrypt, Certbot, Ubuntu Instance on AWS, AWS Route 53, AWS Security Groups
This project demonstrates how to create scalable and serverless APIs using AWS Lambda functions, expose them to the internet via API Gateway, and optimize their global delivery with Amazon CloudFront. This approach is ideal for modern, globally distributed applications requiring low latency and high availability.
Tech Stack Used: AWS Lambda, API Gateway, Amazon CloudFront, Postman
This project involves configuring a highly available load-balancing cluster using HAProxy and Keepalived. High availability ensures that applications remain operational without outages, a critical feature for production systems. HAProxy, a high-performance load balancer, distributes traffic across multiple backend servers, while Keepalived provides failover functionality by managing a virtual IP address that shifts between nodes during a failure. Together, these tools create a robust infrastructure capable of handling high traffic loads with fault tolerance and redundancy.
The project features two load balancer nodes configured with HAProxy and Keepalived, ensuring failover and failback capabilities. Backend web servers running Apache2 are deployed to serve application traffic. The virtual IP managed by Keepalived ensures continuity in case of node failures, seamlessly transferring traffic to the secondary load balancer.
Tech Stack Used: HAProxy, Keepalived, Apache2, Linux (Ubuntu), AWS EC2, Virtual IP Address (VIP)
This project demonstrates how to integrate Jenkins with Artifactory to automate the process of building, storing, and deploying Java applications using Maven. By connecting Jenkins with Artifactory, learners will create a continuous integration/continuous deployment (CI/CD) pipeline that builds Java artifacts (WAR/EAR/JAR files), stores them in Artifactory, and automatically deploys them to a Tomcat server using Ansible.
Through this project, learners will gain hands-on experience with several critical DevOps tools and practices, such as artifact repository management, automated build processes, deployment automation, and configuration management.
Tech Stack Used: Artifactory, Jenkins, Ansible, Docker, Tomcat Server, GitHub, AWS EC2
This project demonstrates how to configure Nexus Repository as a Docker registry to store Docker images and automate the deployment process using Jenkins and Ansible. It covers the installation and configuration of Nexus to host Docker images, integrating Jenkins to automate the build and deployment pipeline, and leveraging Ansible for managing Docker containers on the target host.
Learners will provision EC2 instances, configure the Nexus repository, set up Jenkins, and use Ansible playbooks to deploy Dockerized applications, making this a comprehensive hands-on project for DevOps automation.
Tech Stack Used: Nexus Repository, Jenkins, Ansible, Docker, GitHub, AWS EC2
This project simulates a real-world incident recovery scenario where a corporate website powered by WordPress becomes inaccessible due to database corruption. Learners are tasked with restoring the database using Amazon RDS’s point-in-time restore feature to recover the last known good state. The project begins by setting up a WordPress application with an AWS infrastructure created via Terraform, including a Virtual Private Cloud (VPC), EC2 instances, and an Amazon RDS database.
Using Terraform, learners provision a secure and scalable environment with two public and two private subnets, security groups, a bastion host, and an RDS database configured for automated backups. The WordPress application is deployed on an EC2 instance, and its database is connected to RDS. Once the application is live, a critical database table is intentionally corrupted, and learners must use an RDS snapshot to restore the database and bring the application back online.
Tech Stack Used: Terraform, AWS Services, WordPress, MySQL, Bash and MySQL Command Line
This project involves building a serverless architecture to handle CRUD (Create, Read, Update, Delete) operations through an API. This project introduces students to serverless architecture, an increasingly popular approach in modern application development. By building a CRUD API, learners gain a strong foundation in designing and implementing serverless solutions. They develop skills in using AWS Lambda for event-driven computing, API Gateway for managing and routing HTTP requests, and DynamoDB for scalable NoSQL data storage. This project emphasizes cost-efficiency and scalability, helping students understand how to build systems that can handle varying workloads without overprovisioning resources. Additionally, students learn to work with real-world tools like IAM for secure access and CloudWatch for monitoring, preparing them to design robust, efficient, and production-ready systems. This experience empowers learners with the expertise to create modern, serverless applications that meet industry demands.
Tech Stack Used: AWS Lambda, AWS API Gateway, Amazon DynamoDB, AWS IAM, CloudWatch Logs, Programming Language: Java for Lambda function code
This project involves configuring an Application Load Balancer (ALB) in AWS with session stickiness enabled, ensuring that user sessions are consistently routed to the same backend server. Learners will gain hands-on experience with traffic distribution and session management, crucial for applications that require user sessions to remain persistent across multiple requests.
Tech Stack Used: Amazon Application Load Balancer (ALB), AWS EC2 Instances, AWS Management Console
Through this project, students explore the critical concept of database replication, a cornerstone of database scalability and reliability. By setting up MySQL Master-Slave replication, learners understand how to offload read operations to slave nodes, a technique used to enhance application performance. They gain insight into ensuring data redundancy and availability, which are vital for disaster recovery and fault-tolerant systems. Deploying this setup on AWS familiarizes students with managing cloud-based databases, including setting up secure communication and monitoring replication health. This experience equips them with the skills to design and maintain scalable database architectures, making them more effective in roles that require database optimization and management.
Tech Stack Used: AWS EC2, AWS RDS (MySQL), AWS Security Groups, MySQL WorkBench, Linux Operating System, Bash Scripting
This project provides a comprehensive guide to deploying a monitoring stack using Grafana for visualization, Prometheus for data collection, and Node Exporter for gathering system metrics. The setup involves three primary components: a Grafana server for creating rich dashboards, a Prometheus server for scraping and storing metrics, and Node Exporter for collecting system-level metrics from a target machine.
By the end of this project, learners will have a fully functional monitoring solution capable of providing detailed insights into system and application performance. This setup can be extended to monitor multiple servers or applications, making it an invaluable skill for DevOps professionals and system administrators.
Tech Stack Used: Grafana, Prometheus, Node Exporter, AWS EC2 Linux (Ubuntu)
This project involves creating a Jenkins infrastructure pipeline with build parameters, allowing users to customize the build process based on various input values. By incorporating build parameters, learners will enable dynamic control over the pipeline execution, facilitating use cases like multi-environment deployments, version control, and conditional steps. The project will help learners configure and automate infrastructure deployments, making it easier to handle different configurations within a single Jenkins pipeline.
Tech Stack Used: Jenkins, Jenkins Pipeline, AWS EC2
This project introduces learners to the distributed build architecture of Jenkins by configuring a master-slave setup using AWS EC2 instances. The master node orchestrates build tasks, while the slave nodes handle the actual execution, enabling efficient scaling for large and complex CI/CD workloads. This project equips learners with the foundational knowledge required to manage distributed Jenkins architectures. By setting up master-slave communication, students learn how to scale build environments horizontally, enabling parallel execution of jobs and significantly reducing build times. This skill is critical for organizations managing multiple, resource-intensive CI/CD pipelines.
Tech Stack Used: AWS EC2, Jenkins, Security Groups (AWS), Jenkins Plugins, Linux Operating System
This project focuses on implementing a Jenkins master-slave architecture in a containerized environment using Docker. By deploying Jenkins in Docker containers, learners explore the flexibility and portability of containerized CI/CD pipelines. The project highlights how to use Docker to simplify the provisioning and management of Jenkins nodes while maintaining scalability and efficiency.
The hands-on experience of working with Docker reinforces foundational concepts like container networking, volume management, and image creation. Students also gain practical knowledge in designing scalable Jenkins architectures by dynamically adding or removing slave nodes as Docker containers based on workload requirements. Additionally, learners explore how containerization enhances resource efficiency and reduces setup complexity. By avoiding the need for dedicated virtual machines or physical servers, they gain a cost-effective approach to deploying Jenkins in modern environments.
Tech Stack Used: Jenkins, Jenkins Plugins, Docker, AWS EC2, Security Groups (AWS), Linux Operating System
This project guides learners through setting up an automated CI/CD pipeline to deploy a Java Enterprise Application to a Tomcat server hosted on AWS. The infrastructure is provisioned using Terraform, with Jenkins handling the build and deployment processes. This project showcases the integration of Jenkins, Tomcat, and AWS services, enabling a seamless deployment pipeline for enterprise-grade applications.
Learners will gain hands-on experience in creating infrastructure as code, configuring Jenkins to build and deploy applications, and managing servers with SSH and plugins. By the end of this project, learners will have a fully automated deployment pipeline capable of handling real-world application lifecycles.
Tech Stack Used: Terraform, AWS Services, Jenkins, Tomcat Server, Java, Maven.
This project focuses on deploying a WordPress application and a MySQL database on a Kubernetes cluster using Helm, a package manager for Kubernetes. Helm simplifies the management of Kubernetes resources by using charts, which are reusable, declarative templates for defining Kubernetes applications. Learners will create separate Helm charts for WordPress and MySQL, configure them, and deploy them to the Kubernetes cluster.
This project not only introduces learners to Helm but also demonstrates how to connect applications to supporting databases in a Kubernetes environment. By the end, learners will have a functional WordPress site running on Kubernetes, backed by a MySQL database.
Tech Stack Used: Kubernetes, Helm, WordPress, MySQL, YAML, AWS EC2 (Ubuntu)
This project walks learners through the process of upgrading a Kubernetes cluster deployed with Kubeadm from version 1.26 to version 1.27. The upgrade ensures that the cluster remains up-to-date, secure, and compatible with the latest Kubernetes features. The process is divided into two major phases: upgrading the control plane (master node) and then upgrading the worker nodes. This step-by-step documentation provides a systematic approach to upgrading each component of the cluster while minimizing downtime and preserving workloads.
Through this project, learners gain a deep understanding of cluster management and the importance of regular upgrades for security, performance, and feature enhancements in Kubernetes.
Tech Stack Used: Kubernetes (Kubeadm), kubectl, AWS Linux (Ubuntu)
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Technologies You Will Learn
Configuration Management
Cloud Infrastructure
Version Control
Monitoring
CICD Pipeline
Infrastructure As Code
Containerization
Container Orchestration
Linux OS
Monitoring Dashboard
Log Aggregation
Kubernetes Package Manager
Maven
Tomcat
Apache
Checkov
Nginx Ingress
ArgoCD
Our Success Stories
MotivaLogic is an EdTech boot camp with fast-paced, immersive learning environments that provide UK DevOps Certification courses. Our team comprises leading DevOps professionals with decades of experience with DevOps practices. We use unique teaching methodologies to help students master the skills and knowledge of software development and IT operations. Our cloud DevOps accelerated training will equip you for a career in a rapidly growing DevOps industry that connects software developers and operations.
Career Scope in DevOps
DevOps (Development Operations) is the combination of software development and IT operations that emphasises communication and collaboration between these two groups in an organisation. It is a unique approach that is not defined as a product or framework but rather focuses on eight key principles to form a productive work culture. Currently, there are numerous DevOps-related job openings, and top companies are constantly looking for certified DevOps professionals.
MotivaLogic has designed a hands-on DevOps certification course crafted to guide you towards becoming a certified practitioner by implementing best practices in continuous development, configuration management, continuous integration, and, ultimately, continuous monitoring of software throughout its development life cycle.
The programme aims to impart practical insights into the various phases of the software development life cycle, offering a real-world understanding of its elements. Structured to cater to both beginners with no prior IT background and experienced professionals seeking to enhance their skills, the course illustrates the seamless integration of tools within the DevOps toolkit. It addresses the cultural aspects of software development and provides real-world experience with essential tools, specialisations, and job-ready.
Course Benefits and Features
- Self-Paced
- Recorded Sessions
- Access on mobile and TV
- Certificate of Completion
Once you complete the course, you’ll become a specialist in the ideas of continuous development and deployment, configuration management automation, inter-team communication, and IT service agility, all while utilising DevOps technologies like Git, Docker, Jenkins, and others. Here is what is covered in the course:
- Build Automation (Maven)
- Code Analysis (SonarQube)
- Source control (Git)
- Continuous integration (Jenkin)
- Infrastructure as Code (Terraform)
- Configuration Management (Ansible)
- Containerisation (Docker)
- Orchestration (Kubernetes)
- Continuous Testing (Junit and Selenium)
- Continuous Monitoring (NewRelic, Prometheus, and Grafana)
Whether you are a beginner with no previous IT background or an experienced professional looking for how to integrate all the tools in the DevOps toolkit, it covers the cultural aspect of software developers and real-world experience with all the important tools, specialisations, and job-ready skills. Join today and learn DevOps online from industry experts at your own pace. Enrol in our cloud DevOps accelerated training today to master Git, Jenkins, Docker, Ansible, and more.
