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Career Switch to Cloud & DevOps : The Complete Guide

Name: Career Switch to Cloud & DevOps : The Complete Guide
Rating: 5.0 (13 reviews)

Master Google Cloud Plateform, Docker, CI/CD and Fullstack application Deployment

Created byOtmane Bahnini

Last updated 1/2025

English

What you'll learn

Understand the fundamentals of Docker and containerization
Build and deploy a complete fullstack web application using Docker and Docker Compose
Deploy and manage resources on Google Cloud Platform (GCP), including VMs, networking, cloud sql dabase, secrets and load balancers.
Implement Infrastructure as Code (IaC) using GCP Deployment Manager to automate VM, network, and resource deployments.
Create modular and reusable templates for advanced deployment automation using Jinja templates.
Automate deployments using bash scripts, including creating dynamic, concurrent deployments for multiple environments
Learn CI/CD concepts and implement GitLab CI pipelines to deploy fullstack application to production
Integrate quality assurance with Flake8 and unit testing in your CI/CD pipelines for robust code deployment
Build and push Docker images to the GitLab container registry and deploy applications using GitLab CI.
Use advanced GitLab CI features, such as parallel matrix jobs, secure files, and reading secrets from GCP Secret Manager.

Course content

9 sections • 63 lectures • 7h 57m total length

Introduction4:20

Demo application architecture5:03
Demo application deployment introduction1:11
Git installation1:10
Demo application frontend how nginx works4:09
Demo application frontend environment variables4:13
Demo application frontend deployment with docker9:07
Introduction to docker networking2:28
Illustrate docker's default bridge network isolation and how port mapping exposes host services. Emphasize inter-container communication using container IPs within the bridge network, not localhost.
Demo application database deployment7:37
Demo application backend-api deployment part-12:46
Demo application backend-api deployment part-29:08

Introduction to docker compose2:50
Define and manage multiple containers with docker compose by configuring services, ports, environments, and volumes in a single yaml file to simplify building, starting, and maintaining your map application.
Introduction to yaml format6:52
Create docker compose for fullstack demo application23:16
Optimize docker images size10:31
Learn to drastically reduce backend Docker images with multi-stage builds, from a Python 3.8 builder to a slim final image, and optimize security with a non-root user and minimal dependencies.
Optimize docker compose file5:36

Introduction to google cloud plateform1:39
Create new gcp account1:18
Global architecture of the infrastructure for fullstack demo app2:11
Deploy your first VMs on GCP18:42
Basics of networking in GCP5:08
Explore GCP networking basics, including VPCs and regional subnets, private service access and VPC peering, and firewall rules that enable internal communication to Cloud SQL via internal IPs.
Create and use cloud sql-database8:52
Create a Cloud SQL MySQL database with private IP in Europe West and enable high availability. Set up a user and database and connect Docker Compose to the internal IP.
Create Instance groups1:33
Create configure load balancer12:56

Introduction to CICD concepts3:16
Jobs and stages concept in gitlab-ci1:52
Learn how GitLab CI defines jobs and stages, uses artifacts and container environments, runs parallel jobs within a stage, and sequences build, test, and deploy in pipelines.
Create your first gitlab-ci-pipeline8:39
Code quality with flake89:55
Learn how code quality and code coverage tests drive reliable Python projects by using Flake8 to enforce pep8, catch errors, and measure cyclomatic complexity in a CI pipeline.
Unit test and code coverage7:00
Configure ssh to connect to gitlab5:58
Integrate quality tests and unit tests to gitlab-ci pipeline16:38
Learn to integrate code quality and unit tests into a gitlab ci pipeline by configuring a python 3.9 slim container, flake8 checks, complexity thresholds, coverage reporting, and artifacts.
Variables in gitlab-ci3:20
define variables in GitLab CI to set max complexity and min coverage, then reference predefined CI/CD variables and the GitLab Docker registry.
Gitlab runners2:38
Install and register gitlab-runners in gcp10:45
Build and push docker images to gitlab registry10:54
Deploy fullstack demo app using gitlab-ci9:33
Deploy a fullstack demo app using gitlab ci with images from the gitlab registry, docker compose, and load balancer and cloud sql configurations for a working deployment.
Use parallel matrix in gitlab-ci to deploy on multiple instances5:34
Create serviceaccount to read secrets from google cloud secret manager10:39
Use secure files gitlab-ci feature to retrieve secrets from secret manager6:06

Requirements

No prior DevOps or programming experience needed.
Basic Computer Knowledge

Description

Transform your career with hands-on DevOps and cloud engineering skills that employers actually want. This isn't just another theory-heavy course – it's your practical journey to becoming a confident DevOps engineer.

Why This Course Stands Out

Forget abstract concepts and endless slides. In this course, you'll build a complete full-stack application from scratch and deploy it to production using the exact tools and practices that modern tech companies rely on. Every step is practical, purposeful, and designed to give you real-world experience.

What You'll Build

Through three comprehensive sections, you'll master the complete deployment lifecycle:

Local Development & Containerization

Master Docker fundamentals and build optimized container images
Orchestrate multi-service applications with Docker Compose
Understand frontend-backend architecture and REST API implementation
Learn essential networking concepts and volume management

Cloud Infrastructure with Google Cloud Platform

Set up professional cloud infrastructure using your $300 free GCP credits
Deploy and manage Virtual Machines, VPC Networks, and Load Balancers
Implement secure practices with Cloud SQL and Secrets Manager
Automate infrastructure provisioning using Deployment Manager
Master infrastructure-as-code and bash scripting for automation

CI/CD Implementation with GitLab

Implement professional testing strategies including unit tests and code coverage
Build automated CI/CD pipelines
Configure and manage GitLab runners on cloud instances
Deploy to production with confidence using GitLab CI

Real-World Problem Solving

Throughout the course, you'll develop crucial troubleshooting skills:

Debug deployment issues in real-time
Solve common cloud infrastructure challenges
Learn to read logs and identify root causes
Master the problem-solving mindset that DevOps engineers need daily

What Makes This Course Different

Learn by doing: Build everything yourself with step-by-step guidance
Real-world focus: Every concept is tied to practical, industry-relevant examples
Complete understanding: Learn not just the "how" but the "why" behind each decision
Production-ready skills: Graduate with experience in tools actually used by tech companies

By The End of This Course, You'll Have:

✓ A production-deployed full-stack application for your portfolio ✓ Hands-on experience with Docker, Google Cloud, and GitLab CI/CD ✓ The ability to automate infrastructure deployment ✓ Confidence to tackle DevOps engineer interview questions ✓ Real problem-solving experience in cloud environments

Perfect For:

Developers looking to transition into DevOps roles
IT professionals wanting to modernize their skill set
Students aiming for their first DevOps position
Anyone interested in cloud engineering and automation

Your Investment in Your Future

Who this course is for:

Career Switchers in Tech: Aspiring professionals looking to transition into cloud and DevOps roles, with basic computer skills and no prior advanced technical background.
Beginner developers preparing for cloud DevOps positions or looking to enhance their technical skills with modern cloud deployment and containerization technologies.
Students and Self-Learners: Computer science students or self-taught learners wanting to gain practical, industry-relevant skills in Docker, Google Cloud Platform, and infrastructure management without complex prerequisites.

Career Switch to Cloud & DevOps : The Complete Guide

What you'll learn

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Course content

Introduction1 lecture • 4min

Docker Fundamentals & Containerization7 lectures • 36min

Fullstack Demo Application Deployment with Docker10 lectures • 47min

Fullstack Demo Application Deployment with Docker Compose5 lectures • 49min

Google Cloud Platform (GCP)8 lectures • 52min

Infrastructure as Code (IaC) with Deployment Manager8 lectures • 1hr 9min

Advanced Deployment with Template Modules4 lectures • 44min

Deployment Automation with Bash Script5 lectures • 1hr 3min

CI/CD with GitLab CI15 lectures • 1hr 53min

Requirements

Description

Who this course is for: