The Cloud Engineer course at SpireTec Solutions empowers learners with essential skills to excel in cloud computing. This comprehensive program covers key topics such as cloud architecture, data storage, and networking, enabling participants to understand and implement effective cloud solutions. The learning objectives include mastering Google Cloud Platform (GCP) tools, deploying applications, and managing cloud resources efficiently. Participants will engage in hands-on projects that illustrate real-world applications, ensuring they can tackle challenges faced by businesses today. By the end of the course, students will be equipped with the knowledge and confidence to pursue a successful career in cloud engineering, making them valuable assets to their organizations.
Cloud Engineer Certification Overview
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This one-day instructor-led course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam.
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The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications.
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Through lectures, demos, and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.
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An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions.
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With a shortage of cloud expertise in the job market, which is projected to last for the next several years, Google Cloud certifications can differentiate you from others and prove that you have not only the technical knowledge but also the skills required to do the job.
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This course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.
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It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs to prepare for the exam, so they can formulate their own personal study plan.
Course Prerequisites
To successfully undertake the Cloud Engineer course, we recommend having the following minimum required knowledge:
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Basic understanding of cloud concepts and services
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Familiarity with Linux command-line interface
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Some experience with networking concepts, such as IP addresses and DNS
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Knowledge of at least one programming language (e.g., Python, Java, or similar) is beneficial but not mandatory
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Understanding of fundamental database concepts and experience with SQL is helpful
Having this foundational knowledge will help you fully engage with the course material and maximize your learning experience. We look forward to welcoming you to the Cloud Engineer course!
Target Audience
The Cloud Engineer course equips professionals with the skills to design, develop, and manage applications on the Google Cloud Platform, targeting individuals aiming to advance in cloud computing careers.
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Cloud Engineers
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DevOps Engineers
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Systems Administrators
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IT Architects
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Solutions Architects
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Software Developers
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Data Analysts
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Network Administrators
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IT Managers
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Database Administrators
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Technical Project Managers
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Business Intelligence Developers
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Cloud Security Specialists
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IT Support Professionals
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Technology Consultants
Course Outline
Module 1: Preparing for Your Associate Cloud Engineer Journey
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Introduction
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Setting Up a Cloud Solution Environment
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Planning and Configuring a Cloud Solution
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Deploying and Implementing a Cloud Solution
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Ensuring Successful Operation of a Cloud Solution
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Configuring Access and Security
Module 2: Google Cloud Fundamentals: Core Infrastructure
Theory
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Introducing Google Cloud
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Resources and Access in the Cloud
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Virtual Machines and Networks in the Cloud
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Storage in the Cloud
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Containers in the Cloud
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Applications in the Cloud
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Developing and Deploying in the Cloud
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Logging and Monitoring in the Cloud
Hands-On
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A Tour of Google Cloud Hands-on Labs
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Compute Engine: Qwik Start - Windows
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Getting Started with Cloud Shell and gcloud
Module 3: Essential Google Cloud Infrastructure: Foundation
Theory
Hands-On
Module 4: Essential Google Cloud Infrastructure: Core Services
Theory
Hands-On
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Cloud Storage: Qwik Start - Cloud Console
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Cloud Storage: Qwik Start - CLI/SDK
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Cloud IAM: Qwik Start
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Cloud Monitoring: Qwik Start
Module 5: Elastic Google Cloud Infrastructure: Scaling and Automation
Theory
Hands-On
Module 6: Reliable Google Cloud Infrastructure: Design and Process
Theory
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Introduction
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Defining Services
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Microservice Design and Architecture
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DevOps Automation
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Choosing Storage Solutions
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Google Cloud and Hybrid Network Architecture
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Deploying Applications to Google Cloud
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Designing Reliable Systems
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Security
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Maintenance and Monitoring
Hands-On
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Cloud Functions: Qwik Start - Console
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Google Cloud Pub/Sub: Qwik Start - Console
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Google Cloud Pub/Sub: Qwik Start - Command Line
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Deployment Manager - Full Production [ACE]
Module 7: Getting Started with Google Kubernetes Engine
Theory
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Introduction to Google Cloud
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Introduction to Containers and Kubernetes
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Kubernetes Architecture
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Introduction to Kubernetes Workloads
Hands-On
Module 8: Getting Started with Terraform for Google Cloud
Theory
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Introduction to Terraform for Google Cloud
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Terms and Concepts
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Writing Infrastructure Code for Google Cloud
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Organizing and Reusing Configuration with Terraform Modules
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Introduction to Terraform State
Hands-On
Live Online Training (Duration : 8 Hours)
