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DevOps Engineer Master's Program Certification

Length
6 months
Price
1,650 EUR
Next course start
Start when you want, at your own pace! See details
Course delivery
Blended
Length
6 months
Price
1,650 EUR
Next course start
Start when you want, at your own pace! See details
Course delivery
Blended

Course description

DevOps Engineer Master's Program Certification

Accelerate your career with AVC’s comprehensive DevOps Engineer Certification Course in collaboration with IBM. This program features the perfect mix of theory, case studies, and extensive hands-on practice to prepare you for a fast-growing field that bridges the gap between software development and operations.

You’ll delve into version control and collaborative software development practices with Git and GitHub to manage code repositories, containerization with Docker to deploy applications at scale, and continuous integration and deployment (CI/CD) with Jenkins to automate, build, deploy, and test processes. This course will help you get equipped with essential skills and knowledge in Docker, Ansible, Terraform, Kubernetes & more.

Key Features

  • 6 months online bootcamp and eLearning (self-paced)
  • Access self-learning content by IBM
  • Earn industry-recognized IBM course certificates
  • 20+ in-demand tools and skills
  • 8X higher live interaction with live online classes by industry experts
  • Microsoft Learn portal access and an MS-branded certificate
  • Engage in capstone projects in 3 domains
  • Curriculum aligned to Amazon Web Services
  • Powered by Google Cloud Hands-on Labs

Program Outcomes

  • Understand the fundamentals of DevOps engineering and be fully proficient with DevOps terminologies, concepts, benefits, and deployment options to meet your business requirements
  • Obtain complete knowledge of the “version control system” to effectively track changes augmented with Git and GitHub training
  • Have a detailed overview of continuous integration and container ecosystem by learning tools such as Jenkins and Docker
  • Be able to deliver change requests from customers rapidly and effectively by adding new (and updating existing) features
  • Develop a sound understanding of security and performance testing to safeguard releases from vulnerabilities
  • Successfully transition from a software engineer to a DevOps engineer

Target Audience

This program caters to those who are hoping to enter the world of DevOps as it is designed and structured to accommodate various professional backgrounds. Although there are no prerequisites for taking up this training program, individuals in the following roles and disciplines are ideal for this course:

  • Fresh graduates who are intent on taking the plunge into the cloud job market
  • Professionals with less than 2 years of experience who are working in either technical or non-technical job roles and wish to build successful careers in the cloud computing domain
  • People working in the following roles will benefit the most from the DevOps Master’s Program:
    • DevOps or Platform Engineer
    • Site Reliability Engineer (SRE)
    • Build Engineer
    • DevOps Evangelist
    • Security Engineer
    • Automation Architect
    • DevOps Software Developer
    • DevOps Product Manager
    • DevOps Data Analyst

Learning Path

1. DevOps Foundations: Version Control and CI/CD with Jenkins

Understand the principles and benefits of DevOps and the limitations of traditional approaches. Explore DevOps architecture, lifecycles, and hands-on practices leveraging essential tools such as Jenkins, GitHub Actions, and version control systems. Master DevSecOps principles and its best practices through case studies for practical experience

Key Learning Objectives

  • Understand the core principles, benefits, and challenges of adopting a DevOps approach
  • Explore the fundamental principles and best practices of DevSecOps for integrating security into the DevOps lifecycle
  • Develop practical skills in leveraging DevOps tools and technologies, including Jenkins, GitHub Actions, and version control systems

Course Curriculum

  • Lesson 01 - Introduction to DevOps
  • Lesson 02 - Basics of Version Control Systems with Git
  • Lesson 03 - Exploring Advanced Concepts in Git
  • Lesson 04 - CI/CD Pipeline with Jenkins
  • Lesson 05 - Jenkins Jobs and Plugins
  • Lesson 06 - Jenkins Build Tools and Build Triggers
  • Lesson 07 - Jenkins Integrations
  • Lesson 08 - Jenkins Pipeline
  • Lesson 09 - Jenkins Administration
  • Lesson 10 - CI/CD Pipeline with GitHub Actions

2. Configuration Management using Ansible and Terraform

Learn to manage and automate infrastructure with Ansible and Terraform to ensure efficiency and scalability. Master Ansible's features and benefits compared to Puppet and Chef and apply them in real-world scenarios. Understand Terraform's role in IT automation, compare it with CloudFormation and Pulumi, and harness it for efficient infrastructure management.

Key Learning Objectives

  • Develop a comprehensive understanding of configuration management and Infrastructure as Code (IaC) concepts, enabling efficient orchestration and automation of complex IT environments.
  • Gain expertise in Terraform’s IT automation role, compare it with CloudFormation and Pulumi and harness its power for efficient infrastructure management.
  • Master Ansible’s features and benefits, compare it with Puppet and Chef and apply it in real-world scenarios.
  • Acquire practical hands-on experience with Ansible and Terraform, ensuring proficiency in their usage for configuration management and infrastructure automation.

Course Curriculum

  • Lesson 01 - Getting Started with Configuration Management
  • Lesson 02 - Ansible Setup and Ad-hoc Commands
  • Lesson 03 - Yet Another Markup Language (YAML)
  • Lesson 04 - Ansible Inventories, Modules, and Plugins
  • Lesson 05 - Securing Ansible Environment with Vault, Roles, and DevSecOps
  • Lesson 06 - Terraform Fundamentals
  • Lesson 07 - Terraform Core Concepts
  • Lesson 08 - Infrastructure as Code Best Practice

3. Containerization with Docker

Learn Docker basics, including architecture, images, and registries. Understand Docker networking and orchestration with Swarm and Kubernetes. Explore Docker storage, microservices, and security best practices.

Key Learning Objectives

  • Gain a thorough understanding of Docker essentials, including its architecture, image management, and registry usage, laying the groundwork for proficient containerization. Install and deploy Kubernetes cluster
  • Explore advanced Docker topics, including storage mechanisms, microservices architecture, and security best practices, ensuring robust and secure containerized environments
  • Develop proficiency in Docker networking principles and orchestration techniques using Swarm and Kubernetes, facilitating efficient management of containerized applications.
  • Implement Docker security best practices and deploy effective security measures within containerized environments, enhancing your skills in container security.

Course Curriculum

  • Lesson 01 - Docker Introduction
  • Lesson 02 - Image Management and Registry
  • Lesson 03 - Storage and Volumes
  • Lesson 04 - Orchestration
  • Lesson 05 - Networking
  • Lesson 06 - Security
  • Lesson 07 - Microservices Architecture
  • Lesson 08 - Docker Enterprise and Docker Kubernetes Service

4. Container Orchestration with Kubernetes

Learn the basics such as architecture, container runtime, and key components like Kubelets. Develop deployment strategies, workload scaling, self-healing pods, and application configuration. Explore networking models, services, load balancing, security measures like RBAC, secrets management, and network policies.

Key Learning Objectives

  • Develop a comprehensive understanding of Kubernetes fundamentals, including its architecture, container runtimes, and key components such as Kubelet, etc., which is crucial for effective container orchestration
  • Explore Kubernetes networking models, services, load balancing strategies, and security measures like RBAC, secrets management, and network policies, enhancing your knowledge of networking and security in Kubernetes environments.
  • Learn deployment strategies, workload scaling techniques, self-healing pod mechanisms, and application configuration management within Kubernetes, ensuring smooth deployment and efficient management of containerized applications.

Course Curriculum

  • Lesson 01 - Overview of Kubernetes
  • Lesson 02 - Core Components of Kubernetes
  • Lesson 03 - Kubernetes Cluster Fundamentals
  • Lesson 04 - Advanced Kubernetes Cluster Management
  • Lesson 05 - Workloads
  • Lesson 06 - Managing Applications in Kubernetes
  • Lesson 07 - Scheduling
  • Lesson 08 - Advanced Scheduling Techniques
  • Lesson 09 - Services, Load Balancing, and Network
  • Lesson 10 - Networking and Ingress Management
  • Lesson 11 - Storage

5. Monitoring and Logging in DevOps

Understand core concepts, and set up Prometheus for metrics and Grafana for visualization. Learn centralized logging with Elasticsearch, Logstash, and Kibana. Integrate logging with CI/CD, apply security measures, and leverage advanced analytics for insights.

Key Learning Objectives

  • Gain proficiency in DevOps monitoring essentials, including core concepts, setting up Prometheus for metric collection, and Grafana for visualization to ensure visibility and performance in DevOps environments.
  • Master centralized logging with the ELK Stack, incorporating Elasticsearch, Logstash, and Kibana for efficient log management and analysis in DevOps workflows.
  • Understand advanced log analytics, integrate logging with CI/CD pipelines, implement security measures, and leverage advanced analytics for actionable insights to improve monitoring and logging practices in DevOps workflows.

Course Curriculum

  • Lesson 01 - Introduction to Monitoring and Prometheus
  • Lesson 02 - Implementing Monitoring with Prometheus
  • Lesson 03 - Advanced Concepts of Prometheus in Monitoring
  • Lesson 04 - Visualization in Monitoring using Grafana
  • Lesson 05 - Logging in DevOps using Kibana

6. DevOps Capstone Project

This DevOps capstone project will give you an opportunity to implement the skills you learned throughout this program. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned problem. This project is the final step in the learning path and will enable you to showcase your expertise in DevOps to future employers.

Key Learning Objectives

  • Demonstrate your ability to solve realworld scenarios through hands-on practice in capstone projects, effectively applying learned DevOps principles and tools.
  • Develop proficiency in addressing industryoriented problem statements, showcasing expertise in deploying DevOps practices to solve challenges encountered in professional settings.
  • Showcase your knowledge and project achievements to employers, strengthen professional connections and enhance opportunities for career advancement in the DevOps field.

Electives

Linux Training

Master the important concepts of the Linux operating system from command line tools and utilities to concepts such as virtualization through this Linux Training Course.

A Walkthrough of DevOps using Google Cloud

In this course, you will delve into containerization and learn how to leverage the power of Google Kubernetes Engine (GKE) to streamline your software development and deployment process

Microsoft Azure Fundamentals (AZ 900)

This module will familiarize you with the main principles of cloud computing and how they are implemented on Microsoft Azure. This Azure course will get you up to speed on Azure services, security, privacy, compliance, trust, pricing, and support.

Microsoft Certified DevOps Engineer (AZ 400)

In this course, you’ll learn how to implement DevOps on Azure. You’ll also develop security and compliance plans while configuring distributed computing architecture using Azure Service Fabric.

Docker with IBM

Learn how to use containers for your applications. Create and run your first Docker container. Then, learn how to run containers in production and solve orchestration problems such as high availability, service discovery, and reconciliation.

Kubernetes with IBM

This course introduces the core concepts of Containers and Kubernetes and explains how containers differ from virtual machines. It also covers the importance of containers in cloud computing and the emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, Istio and Knative

Program Projects

Project 1: ASI Insurance

Create a microservice application architecture for an insurance company through a DevOps pipeline and deployment on Docker.

Project 2: Orbit Bank

Deploy a banking application on a Kubernetes cluster from Docker Hub to help private banking clients manage their accounting activities.

Project 3: Hotel-Side Hospital

Create an automated provisioned infrastructure using Terraform, EKS cluster, EC2 instances, and Jenkins server.

Upcoming start dates

1 start date available

Start when you want, at your own pace!

  • Blended
  • Online
  • English
Adding Value Consulting AB
4-12 Regent Street
SW1Y 4PE London

Adding Value Consulting (AVC)

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