Curriculum For This Course
Video tutorials list
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Google Cloud Associate Cloud Engineer Certification - Getting Started
Video Name Time 1. Step 01 - Introduction - Google Cloud Platform - GCP - Associate Cloud Engineer 4:00 2. Step 02 - Introduction to Cloud and GCP - Google Cloud Platform 6:00 3. Step 03 - Creating GCP - Google Cloud Platform - Account 2:00 -
Google Cloud Regions and Zones
Video Name Time 1. Step 01 - Why do we need Regions and Zones? 3:00 2. Step 02 - Understanding Regions and Zones in GCP - Google Cloud Platform 4:00 -
Google Compute Engine for Associate Cloud Engineer
Video Name Time 1. Step 01 - Getting started with Google Compute Engine - GCE 3:00 2. Step 02 - Creating your first Virtual Machine in GCP 6:00 3. Step 03 - Understanding Machine Types and Images in Google Compute Engine - GCE 6:00 4. Step 04 - Installing HTTP Webserver on Google Compute Engine Virtual Machine 7:00 5. Step 05 - Understanding Internal and External IP Addresses 5:00 6. Step 06 - Playing with a Static IP Addresses 5:00 7. Step 07 - Understanding Static IP Address in GCP - Google Cloud Platform 2:00 8. Step 08 - Simplifying Web Server setup with Compute Engine Startup Script 4:00 9. Step 09 - Simplifying VM creation with Instance Templates 6:00 10. Step 10 - Reducing Launch Time with a Custom Image 10:00 11. Step 11 - Troubleshooting Launch of Apache on GCP Virtual Machine 3:00 12. Step 12 - Playing with Google Cloud Platform (Web) Console 4:00 -
Google Compute - Optimization Costs and Perfomance in Google Cloud Platform
Video Name Time 1. Step 01 - Understanding Sustained Use Discounts in GCP - Google Cloud Platform 3:00 2. Step 02 - Understanding Committed Use Discounts in GCP - Google Cloud Platform 3:00 3. Step 03 - Saving Costs with Preemptible VMs 3:00 4. Step 04 - Understanding Billing for Google Compute Engine - GCE VMs 4:00 5. Step 05 - Achieving High Availability with Live Migration and Automatic Restart 4:00 6. Step 06 - Understanding Custom Machine Types 2:00 7. Step 07 - Exploring GPUs in Google Compute Engine - GCE 3:00 8. Step 08 - Quick Review - Virtual Machines in Google Cloud Platform 6:00 9. Step 09 - Best Practices - Virtual Machines in Google Cloud Platform 3:00 10. Step 10 - Scenarios - Virtual Machines in Google Cloud Platform 9:00 11. Step 11 - Quick Review - Google Compute Engine 2:00 -
Gcloud for Associate Cloud Engineer
Video Name Time 1. Step 01 - Getting Started with Gcloud 9:00 2. Step 02 - Playing with Gcloud config set 6:00 3. Step 03 - Managing Multiple Configurations in Gcloud 7:00 4. Step 04 - Understanding Command Structure in Gcloud to play with Services 9:00 5. Step 05 - Playing with Gcloud compute instances create 7:00 6. Step 06 - Setting Default Region and Zone for Compute Engine 3:00 7. Step 07 - Exploring Gcloud commands - list and describe 5:00 8. Step 08 - Playing with Compute Instances in Gcloud 2:00 9. Step 09 - Playing with Instance Templates in Gcloud 6:00 -
Getting Started with Instance Groups on Google cloud
Video Name Time 1. Step 01 - Getting Started with Instance Groups 6:00 2. Step 02 - Creating Managed Instance Groups (MIG) 11:00 3. Step 03 - Playing with Managed Instance Groups (MIG) 4:00 4. Step 04 - Updating a Managed Instance Groups (MIG) - Rolling Updates and Restart 8:00 5. Step 05 - Scenarios - Instance Groups 6:00 6. Step 06 - Using Gcloud to play with Managed Instance Groups (MIG) 12:00 7. Step 07 - Gcloud and MIG - Making Updates 6:00 8. Step 08 - Gcloud and MIG - Managing Template Updates 5:00 -
Load Balancing in Google Cloud Platform
Video Name Time 1. Step 00 - Getting Started with Cloud Load Balancing 3:00 2. Step 01 - Understanding HTTP, HTTPS, UDP and TCP Protocols 8:00 3. Step 02 - Creating a Load Balancer in GCP - Google Cloud Platform 10:00 4. Step 03 - Understanding Cloud Load Balancing Terminology in GCP 4:00 5. Step 04 - Exploring the Load Balancer in GCP - Google Cloud Platform 3:00 6. Step 05 - Choosing a Load Balancer in GCP - Google Cloud Platform 4:00 7. Step 06 - Exploring Features of Load Balancers 3:00 8. Step 07 - Scenarios - Cloud Load Balancing 2:00 -
Managed Services in Google Cloud Platform
Video Name Time 1. Step 01 - What are Managed Services? 1:00 2. Step 02 - Understanding IAAS and PAAS 5:00 3. Step 03 - Understanding Evolution to Containers and Container Orchestration 8:00 4. Step 04 - Understanding Serverless 2:00 5. Step 05 - Getting my perspective on Serverless 3:00 6. Step 06 - Exploring Google Cloud Platform GCP Compute Services 4:00 -
Getting Started with Google App Engine
Video Name Time 1. Step 01 - Getting Started with Google App Engine (GAE) 4:00 2. Step 02 - Understanding App Engine Environments - Standard and Flexible 4:00 3. Step 03 - Understanding App Engine Component Hierarchy 3:00 4. Step 04 - Comparing App Engine Environments - Standard vs Flexible 3:00 5. Step 05 - Scaling Google App Engine Instances 3:00 6. Step 06 - Playing with App Engine in GCP - Google Cloud Platform 15:00 7. Step 07 - Exploring App Engine in GCP - App, Services and Versions 7:00 8. Step 08 - Splitting Traffic between Multiple versions in App Engine 8:00 9. Step 09 - Create a New Service and Playing with App Engine 6:00 10. Step 10 - Understanding App Engine app.yaml 3:00 11. Step 11 - Understanding Request Routing in Google App Engine 4:00 12. Step 12 - Deploying New App Engine Versions without Downtime in GCP 2:00 13. Step 13 - Splitting Traffic Between App Engine Versions in GCP 2:00 14. Step 14 - Exploring App Engine and Gcloud - gcloud app 3:00 15. Step 15 - Exploring App Engine and Gcloud - gcloud app instances 3:00 16. Step 16 - Exploring App Engine and Gcloud - gcloud app services and versions 3:00 17. Step 17 - Creating Cron Jobs in App Engine 1:00 18. Step 18 - Exploring App Engine YAML files - dispatch and queue 1:00 19. Step 19 - Important Things to Remember - Google App Engine 2:00 20. Step 20 - Scenarios - Google App Engine 2:00 -
Getting Started with Google Kubernetes Engine
Video Name Time 1. Step 01 - Getting Started with Google Kubernetes Engine GKE 3:00 2. Step 02 - Kubernetes Journey - Creating a GKE Cluster 5:00 3. Step 03 - Kubernetes Journey - Create a Deployment and a Service 9:00 4. Step 04 - Exploring GKE in GCP Console 6:00 5. Step 05 - Kubernetes Journey - Scaling Deployments and Resizing Node Pools 7:00 6. Step 06 - Kubernetes Journey - Autoscaling, Config Map and Secrets 7:00 7. Step 07 - Exploring Kubernetes Deployments with YAML Declarative Configuration 4:00 8. Step 08 - Kubernetes Journey - The End 4:00 9. Step 09 - Understanding Kubernetes Clusters - Google Kubernetes Engine GKE 6:00 10. Step 10 - Understanding Pods in Kubernetes 3:00 11. Step 11 - Understanding Deployments and Replica Sets in Kubernetes 7:00 12. Step 12 - Understanding Services in Kubernetes 5:00 13. Step 13 - Getting Started with GCR - Google Container Registry 1:00 14. Step 14 - Important Things to Remember - Google Kubernetes Engine GKE 5:00 15. Step 15 - Scenarios - Google Kubernetes Engine GKE 5:00 16. Step 16 - Quick Review - Command Line - gcloud container clusters 2:00 17. Step 17 - Quick Review - Command Line - kubectl workload management 2:00 18. Step 18 - Delete GKE Service, Deployment and Cluster 3:00 -
Getting Started with Google Cloud Functions
Video Name Time 1. Step 01 - Getting Started with Google Cloud Functions 2:00 2. Step 02 - Understanding Google Cloud Functions - Important Concepts 1:00 3. Step 03 - Creating your first Google Cloud Functions 6:00 4. Step 04 - Important Things to Remember - Google Cloud Functions 2:00 -
Google Cloud Run
Video Name Time 1. Step 01 - Getting Started with Google Cloud Run 8:00 2. Step 02 - Gcloud and Google Cloud Run 1:00 -
Encryption in Google Cloud with Cloud KMS
Video Name Time 1. Step 00 - Understanding Data States 3:00 2. Step 01 - Understanding Encryption - Symmetric and Asymmetric 4:00 3. Step 02 - Getting Started with Cloud KMS 2:00 4. Step 03 - Playing with Cloud KMS 5:00 -
Block and File Storage in Google Cloud Platform - GCP
Video Name Time 1. Step 01 - Exploring Block and File Storage in GCP 9:00 2. Step 02 - Exploring Block Storage in GCP - Local SSDs 4:00 3. Step 03 - Exploring Block Storage in GCP - Persistent Disks 1:00 4. Step 04 - Comparing Persistent Disks vs Local SSDs 1:00 5. Step 05 - Exploring Persistent Disk Types 3:00 6. Step 06 - Taking Snapshots for Persistent Disks 5:00 7. Step 07 - Playing with Persistent Disks and Snapshots in GCP 8:00 8. Step 08 - Playing with Machine Images 3:00 9. Step 09 - Comparing Snapshots vs Images vs Machine Images 3:00 10. Step 10 - Playing with Disks - Gcloud 6:00 11. Step 11 - Playing with Images - Gcloud 4:00 12. Step 12 - Scenarios - Persistent Disks 2:00 13. Step 13 - Exploring File Storage with Filestore 2:00 14. Step 14 - Exploring Global, Regional and Zonal Resources 2:00 15. Step 15 - Scenarios - Block and File Storage 2:00 -
Object Storage in Google Cloud Platform - Cloud Storage
Video Name Time 1. Step 01 - Playing with Object Storage in GCP - Cloud Storage 6:00 2. Step 02 - Exploring Cloud Storage in GCP 4:00 3. Step 03 - Understanding Cloud Storage - Objects and Buckets 2:00 4. Step 04 - Understanding Cloud Storage - Storage Classes 5:00 5. Step 05 - Understanding Cloud Storage - Uploading and Downloading Options 3:00 6. Step 06 - Understanding Cloud Storage - Versioning 2:00 7. Step 07 - Understanding Cloud Storage - Lifecycle Management 5:00 8. Step 08 - Understanding Cloud Storage - Encryption with KMS 3:00 9. Step 09 - Scenarios - Cloud Storage 3:00 10. Step 10 - Playing with gsutil - Cloud Storage from Command Line 8:00 -
Authentication and Authorization in Google Cloud woth Cloud IAM
Video Name Time 1. Step 01 - Getting started with Cloud IAM 3:00 2. Step 02 - Exploring Cloud IAM with an Example 4:00 3. Step 03 - Exploring Cloud IAM - Roles 3:00 4. Step 04 - Playing with IAM Roles - Predefined, Basic and Custom Roles 7:00 5. Step 05 - Exploring Cloud IAM - Members, Role and Policy 4:00 6. Step 05a - Demo - Playing with IAM 4:00 7. Step 05b - Demo - Playing with IAM - Command Line 12:00 8. Step 06 - Getting Started with Service Accounts 6:00 9. Step 06a - Demo - Playing with Service Accounts 8:00 10. Step 07 - Exploring Service Account Use Cases 8:00 11. Step 08 - Scenarios - Service Accounts 2:00 12. Step 09 - Exploring Cloud Storage - ACL (Access Control Lists) 4:00 13. Step 10 - Exploring Cloud Storage - Signed URLs 1:00 14. Step 11 - Exposing a Public Website using Cloud Storage 5:00 -
Choosing Database in Google Cloud Platform
Video Name Time 1. Step 01 - Getting Started with Databases 1:00 2. Step 02 - Understanding Database Fundamentals - Snapshot, Standby etc 4:00 3. Step 03 - Understanding Database Fundamentals - Availability and Durability 3:00 4. Step 03a - Understanding Database Fundamentals - Increasing Availability and Dur 2:00 5. Step 04 - Understanding Database Fundamentals - RTO and RPO 4:00 6. Step 05 - Understanding Database Fundamentals - Read Replicas 2:00 7. Step 06 - Understanding Database Fundamentals - Data Consistency 3:00 8. Step 06a - Understanding Database Fundamentals - Choosing Databases 4:00 9. Step 07 - OLTP Relational Databases in Google Cloud - Cloud SQL and Cloud Spanne 3:00 10. Step 08 - OLAP Relational Database in Google Cloud - BigQuery 4:00 11. Step 09 - NoSQL Databases in Google Cloud - Firestore, Datastore and BigTable 4:00 12. Step 10 - In memory Database in Google Cloud - Memorystore 1:00 13. Step 11 - Databases in Google Cloud Platform - A Quick Review 2:00 14. Step 12 - Databases in Google Cloud Platform - Scenarios 2:00 -
Exploring Database in Google Cloud Platform
Video Name Time 1. Step 01 - Getting started with Cloud SQL 3:00 2. Commands executed in this section 1:00 3. Step 01a - Demo - Playing with Cloud SQL 6:00 4. Step 01b - Demo - Playing with Cloud SQL - 2 6:00 5. Step 02 - Understanding Cloud SQL Features 3:00 6. Step 03 - Understanding Cloud SQL High Availability Features 1:00 7. Step 04 - Getting started with Cloud Spanner 2:00 8. Step 04a - Demo - Playing with Cloud Spanner 6:00 9. Step 05 - Getting started with Cloud Datastore and Cloud Firestore 2:00 10. Step 05a - Demo - Playing with Firestore 11:00 11. Step 06 - Getting started with Cloud BigTable 4:00 12. Step 07 - Getting started with Memorystore 1:00 13. Step 07a - Demo - Playing with Memorystore 3:00 14. Step 08 - Getting started with BigQuery 6:00 15. Step 09 - Playing with Cloud SQL, BigQuery and Big Table from Command Line 8:00 16. Step 10a - Importing and Exporting Relational Databases 9:00 17. Step 10b - Importing and Exporting NoSQL Databases 5:00 18. Step 11 - Databases in Google Cloud Platform - Summary 1:00 -
Asynchronous Communication in Google Cloud with Cloud Pub Sub
Video Name Time 1. Step 01 - Understanding Need for Asynchronous Communication 3:00 2. Step 02 - Getting Started with Cloud Pub Sub 4:00 3. Step 03 - Exploring Cloud Pub Sub - Publishing and Consuming a Message 2:00 4. Step 04 - Demo - Playing with Cloud Pub Sub 10:00 5. Step 05 - Playing with Cloud Pub Sub from Command Line 12:00 -
Private Networks in Google Cloud - Cloud VPC
Video Name Time 1. Step 01 - Understanding the Need for Google Cloud VPC - Virtual Private Cloud 3:00 2. Step 02 - Understanding the Need for VPC Subnets 3:00 3. Step 03 - Creating VPCs and Subnets in Google Cloud Platform 2:00 4. Step 03a - Understanding CIDR Blocks 4:00 5. Step 03b - Demo - Creating VPCs and Subnets in GCP 12:00 6. Step 04 - Understanding Firewall Rules in Google Cloud Platform 5:00 7. Step 05 - Getting Started with Shared VPC 1:00 8. Step 06 - Getting Started with VPC Peering 1:00 9. Step 07 - Implementing Hybrid Cloud with Cloud VPN and Cloud Interconnect 3:00 -
Operations in Google Cloud Platform - GCP
Video Name Time 1. Step 01 - Getting Started with Google Cloud Monitoring 4:00 2. Step 02 - Getting Started with Google Cloud Logging 3:00 3. Step 03 - Exploring Google Cloud Logging - Audit Logs 5:00 4. Step 04 - Exploring Google Cloud Logging - Routing Logs and Exports 5:00 5. Step 04a - Creating a Cloud Storage Bucket and Cloud Function 3:00 6. Step 04b - Demo - Playing with Cloud Logging 8:00 7. Step 04c - Demo - Playing with Cloud Monitoring 6:00 8. Step 05 - Getting Started with Google Cloud Trace 1:00 9. Step 06 - Getting Started with Google Cloud Debugger 1:00 10. Step 07 - Getting Started with Google Cloud Profiler 3:00 11. Step 09 - Scenarios - Operations in Google Cloud Platform 1:00 -
Organizations and IAM - Organizing Google Cloud Resources
Video Name Time 1. Step 01 - Organizing Google Cloud Resources - Projects, Folders and Organization 4:00 2. Step 02 - Exploring Billing Accounts 4:00 3. Step 03 - Understanding IAM Best Practices 3:00 4. Step 04a - Understanding User Identity Management in GCP 7:00 5. Step 04b - Exploring IAM Members and Identities 3:00 6. Step 04c - Understanding Organization Policy Service 3:00 7. Step 05 - Exploring IAM Policy at multiple levels - Resourcing Hierarchy 1:00 8. Step 06 - Exploring IAM Predefined Roles - Organization, Billing and Project 3:00 9. Step 07 - Exploring IAM Predefined Roles - Google Compute Engine 2:00 10. Step 08 - Exploring IAM Predefined Roles - Google App Engine 3:00 11. Step 09 - Exploring IAM Predefined Roles - Scenarios 1:00 12. Step 10 - Exploring IAM Predefined Roles - Google Kubernetes Engine 2:00 13. Step 11 - Exploring IAM Predefined Roles - Google Cloud Storage 1:00 14. Step 12 - Exploring IAM Predefined Roles - Google Cloud BigQuery 2:00 15. Step 13 - Exploring IAM Predefined Roles - Logging and Service Accounts 2:00 16. Step 14 - Other Important IAM Roles 2:00 17. Step 15 - SSHing into Linux VMs - 1 4:00 18. Step 16 - SSHing into Linux VMs - 2 5:00 19. Step 17 - Exploring IAM Scenarios 3:00 -
Pricing Calculator
Video Name Time 1. Step 01 - Getting Started with Google Cloud Pricing Calculator - GCE VMs 8:00 2. Step 02 - Playing with Google Cloud Pricing Calculator - Compute Options 4:00 3. Step 03 - Playing with Google Cloud Pricing Calculator - Databases 4:00 4. Step 04 - Playing with Google Cloud Pricing Calculator - Others 3:00 -
Other Important Services
Video Name Time 1. Step 01 - Getting Started with Cloud Deployment Manager 3:00 2. Step 02 - Understanding Cloud Deployment Manager 4:00 3. Step 03 - Getting Started with Cloud Marketplace 1:00 4. Step 04 - Demo - Cloud Marketplace and Deployment Manager 7:00 5. Step 05 - Getting Started with Cloud DNS 9:00 6. Step 06 - Getting Started with Cloud Dataflow 5:00 7. Step 07 - Getting Started with Cloud Dataproc 5:00 -
Getting Ready
Video Name Time 1. Step 01 - Get Ready - Google Cloud Associate Cloud Engineer Certification 4:00
Associate Cloud Engineer Certification Training Video Course Intro
Certbolt provides top-notch exam prep Associate Cloud Engineer certification training video course to prepare for the exam. Additionally, we have Google Associate Cloud Engineer exam dumps & practice test questions and answers to prepare and study. pass your next exam confidently with our Associate Cloud Engineer certification video training course which has been written by Google experts.
Master Google Cloud with Associate Cloud Engineer Certification Training: Your Complete Guide to GCP Skills and Career Growth
In today’s fast-paced technology landscape, cloud computing has become the backbone of modern businesses. Organizations across industries are increasingly relying on cloud platforms to deploy, manage, and scale applications efficiently. Google Cloud Platform (GCP) stands out as one of the leading cloud service providers, offering robust tools, scalable infrastructure, and enterprise-ready solutions. For professionals looking to advance their careers in cloud computing, the Associate Cloud Engineer Certification provides a credible and practical pathway to mastering GCP skills.
This comprehensive training series is designed to equip learners with the knowledge, hands-on experience, and confidence required to deploy applications, manage resources, and monitor cloud operations on Google Cloud Platform. Whether you are an IT professional, developer, system administrator, or aspiring cloud engineer, this course helps you gain practical skills while preparing for the Associate Cloud Engineer certification exam.
Throughout this series, you will explore everything from cloud computing fundamentals and GCP services to advanced deployment strategies, resource optimization, and security best practices. By the end of this training, you will be well-prepared to demonstrate your expertise, secure certification, and unlock career opportunities in a rapidly growing cloud computing ecosystem.
Course Overview
The Associate Cloud Engineer Certification training is designed to help professionals and aspiring cloud engineers gain the knowledge and skills necessary to deploy applications, monitor operations, and manage enterprise solutions on Google Cloud Platform (GCP). This course serves as a comprehensive introduction to cloud computing concepts and GCP services, guiding learners from foundational topics to more practical, hands-on experience. By enrolling in this program, participants will gain a clear understanding of how to navigate the Google Cloud Console, work with different services, and deploy solutions that align with industry best practices.
The course emphasizes practical learning and real-world applications, ensuring that students not only understand theoretical concepts but can also apply them in real scenarios. Learners will work through various modules that cover everything from setting up cloud environments to deploying scalable applications, managing resources, and securing cloud infrastructure. The Associate Cloud Engineer Certification is ideal for those looking to demonstrate their expertise in cloud computing on GCP and enhance their career prospects in an increasingly cloud-driven job market.
Throughout this training, students will engage with interactive labs, quizzes, and assignments that simulate real-life scenarios, providing them with a hands-on approach to cloud engineering. This structure ensures learners develop a deep understanding of Google Cloud services such as Compute Engine, Cloud Storage, Cloud IAM, Cloud Networking, and more. In addition, the program prepares candidates to successfully clear the Associate Cloud Engineer certification exam, which validates their ability to perform essential tasks on the Google Cloud Platform efficiently.
The course also covers best practices for deploying applications, optimizing resource usage, and maintaining cost-effective cloud infrastructure. Students will learn how to leverage automation tools to manage cloud resources, streamline workflows, and ensure reliability and scalability of applications. Emphasis is placed on understanding the principles of cloud architecture and gaining the confidence to implement solutions that meet organizational requirements while adhering to security and compliance standards.
By the end of the course, learners will have a comprehensive understanding of Google Cloud Platform services and tools, including how to deploy, manage, and monitor applications in cloud environments. This knowledge will equip them to take on cloud engineering roles, work on cloud migration projects, and contribute to enterprise-level cloud solutions. The course combines theoretical understanding, practical application, and exam-focused preparation, making it a well-rounded learning experience for anyone pursuing a career as a Google Associate Cloud Engineer.
What you will learn from this course
Understanding core cloud computing concepts and the advantages of using Google Cloud Platform
Navigating the Google Cloud Console and utilizing its features effectively
Deploying applications and services on GCP, including virtual machines and containerized applications
Managing cloud resources using identity and access management policies
Configuring networks, firewall rules, and cloud storage to support scalable solutions
Monitoring, logging, and troubleshooting cloud applications to ensure optimal performance
Implementing best practices for cloud security and compliance
Automating cloud operations using scripts and GCP tools
Managing projects, billing, and resource quotas within Google Cloud Platform
Preparing for and successfully passing the Associate Cloud Engineer certification exam
This course combines theoretical knowledge with hands-on exercises to ensure learners can translate their understanding into practical skills. Participants will not only learn how to use GCP tools but also develop problem-solving strategies for common challenges in cloud deployment and management. Through a structured curriculum, students will gain confidence in handling cloud resources efficiently, making them valuable assets for any organization leveraging cloud infrastructure.
Learning objectives
By the end of the Associate Cloud Engineer Certification training, learners will be able to:
Demonstrate a solid understanding of cloud computing principles and the Google Cloud ecosystem
Set up and manage Google Cloud projects, including resource allocation and billing configuration
Deploy and manage scalable applications using Compute Engine, App Engine, and Kubernetes Engine
Configure and maintain cloud networking components such as VPCs, subnets, and firewall rules
Implement identity and access management (IAM) roles to secure cloud resources
Monitor application performance using Google Cloud’s monitoring and logging tools
Troubleshoot issues in cloud deployments efficiently and apply best practices for optimization
Understand cost management strategies and apply them to ensure efficient resource usage
Prepare thoroughly for the Associate Cloud Engineer certification exam with practical exercises and mock tests
Develop a career-ready skill set for cloud engineering roles in various industries
These learning objectives are designed to guide learners through a logical progression from foundational knowledge to hands-on expertise. Each module builds on previous concepts, ensuring students develop a holistic understanding of GCP services and how to leverage them in real-world scenarios. The focus on both conceptual learning and practical application helps learners gain confidence in performing cloud engineering tasks effectively.
Requirements
To get the most out of this Associate Cloud Engineer training, learners should ideally have:
Basic understanding of cloud computing concepts and IT infrastructure
Familiarity with operating systems, networking, and virtualization
Fundamental knowledge of programming or scripting languages such as Python, Bash, or JavaScript
Experience working with web applications or software deployment processes
A Google Cloud Platform account to practice hands-on exercises and labs
Curiosity and willingness to explore cloud technologies and solve real-world challenges
While no advanced experience is required, a foundational understanding of technology and cloud concepts will help learners grasp the course material more efficiently. Students with prior experience in IT operations, software development, or systems administration will find it easier to connect the theoretical aspects of cloud computing with practical applications. However, even beginners with a strong interest in cloud technologies can successfully complete the course with dedication and consistent practice.
The course is structured to accommodate learners of varying skill levels. Beginners will start with foundational concepts and gradually move into more complex topics, while intermediate learners can focus on applying their existing knowledge in practical exercises. This flexible approach ensures that all participants gain valuable insights and skills that can be applied directly in their professional roles or certification preparation.
Course Description
The Associate Cloud Engineer Certification course provides a structured and comprehensive pathway for individuals aiming to become certified Google Cloud professionals. It covers the essential services and tools offered by GCP, focusing on practical applications and real-world scenarios. Students will learn how to deploy, manage, and monitor applications on the cloud while adhering to best practices for security, scalability, and cost management.
The course begins with an introduction to cloud computing, covering key concepts such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Learners will explore the advantages of cloud adoption, including increased flexibility, scalability, and cost efficiency. This foundational knowledge sets the stage for more advanced topics, ensuring that students understand the broader context of cloud technologies.
Subsequent modules focus on GCP-specific services, including Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Cloud IAM, and networking components. Learners will gain hands-on experience with these services through guided labs, exercises, and projects. The course also emphasizes automation, monitoring, and troubleshooting, equipping students with the skills needed to manage cloud environments efficiently and effectively.
An essential aspect of the training is exam preparation. The curriculum is aligned with the Associate Cloud Engineer certification objectives, providing students with the knowledge and confidence to succeed in the exam. Practice tests, quizzes, and scenario-based exercises help learners reinforce their understanding, identify gaps, and track their progress. This exam-focused approach ensures that participants are well-prepared to earn their certification and demonstrate their expertise to potential employers.
The course also highlights best practices for managing cloud resources, including optimizing performance, controlling costs, and implementing robust security measures. Learners will explore real-world case studies and examples, helping them understand how GCP services can be applied to solve business challenges. By combining theory, practical exercises, and exam preparation, the course offers a well-rounded learning experience that prepares students for both professional success and certification achievement.
Target Audience
The Associate Cloud Engineer Certification course is designed for a diverse audience, including:
IT professionals seeking to transition into cloud computing roles
Developers and software engineers looking to gain expertise in Google Cloud Platform
System administrators and DevOps engineers aiming to enhance their cloud management skills
Students and recent graduates interested in pursuing a career in cloud computing
Business professionals and project managers who want to understand cloud deployment and management
Organizations seeking to train employees in cloud technologies and achieve certified teams
The course caters to individuals at various stages of their career. Beginners can build foundational knowledge and gain hands-on experience, while experienced IT professionals can enhance their skills, stay updated with the latest cloud technologies, and prepare for certification. The target audience is characterized by a desire to learn, adapt to cloud environments, and demonstrate proficiency in deploying and managing applications on Google Cloud Platform.
The program is particularly valuable for those who aim to pursue further certifications in cloud computing, such as Professional Cloud Architect or DevOps Engineer, as it lays a strong foundation in GCP services and cloud best practices. By focusing on practical applications and exam readiness, the course ensures that learners can immediately apply their skills in professional settings and contribute to cloud adoption initiatives within their organizations.
Prerequisites
While the Associate Cloud Engineer Certification course is designed to be accessible to learners with varying levels of experience, certain prerequisites can help participants succeed:
Basic understanding of computer networks, operating systems, and virtualization concepts
Familiarity with command-line interfaces and basic scripting skills
Fundamental knowledge of software development or IT operations
A Google Cloud Platform account to access hands-on labs and exercises
Willingness to engage with interactive learning materials and practice exercises
Commitment to dedicating time to study, complete assignments, and prepare for the certification exam
These prerequisites ensure that learners have the foundational knowledge needed to understand and apply cloud concepts effectively. While prior experience in cloud computing is not mandatory, having a background in IT or software development can accelerate learning and provide context for advanced topics covered in the course. Students who meet these prerequisites are better positioned to take full advantage of the hands-on labs, practice exams, and real-world scenarios included in the curriculum.
The course structure is designed to accommodate learners from diverse backgrounds, providing introductory modules for beginners while offering advanced exercises for those with prior experience. By following the recommended prerequisites, learners can maximize their understanding, gain practical skills, and confidently progress toward achieving the Associate Cloud Engineer certification.
Course Modules/Sections
The Associate Cloud Engineer Certification training is divided into well-structured modules designed to guide learners through the concepts and practical applications of Google Cloud Platform (GCP). Each module focuses on specific areas of cloud computing, providing a step-by-step approach that combines theory, hands-on practice, and exam preparation. This modular structure ensures learners build a comprehensive understanding of GCP services while gradually developing the skills needed for real-world cloud engineering tasks.
The first module introduces learners to cloud computing fundamentals, including core concepts, benefits, and the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Students will explore the advantages of cloud adoption, such as cost savings, scalability, and improved resource management. This foundation sets the stage for deeper exploration of GCP services and tools, allowing learners to connect theoretical concepts to practical applications.
The second module focuses on the Google Cloud Platform environment, providing learners with the skills to navigate the Google Cloud Console, manage projects, and configure cloud resources. This section covers essential tools such as Cloud Shell, Cloud SDK, and APIs that enable effective resource management and automation. Participants will learn how to create, organize, and manage projects while understanding quotas, billing, and resource allocation.
The third module delves into Compute Engine and App Engine services, teaching learners how to deploy virtual machines, web applications, and containerized workloads. Students will gain hands-on experience in configuring instances, managing load balancers, and ensuring high availability. Additionally, the module covers the use of Kubernetes Engine for container orchestration, enabling learners to deploy scalable and resilient applications in cloud environments.
The fourth module addresses storage and database services, including Cloud Storage, Cloud SQL, Cloud Spanner, and BigQuery. Learners will understand how to choose the appropriate storage solution for specific use cases, manage access controls, and optimize performance. Real-world scenarios and hands-on labs allow students to practice implementing storage strategies, ensuring they can apply these skills effectively in professional settings.
The fifth module emphasizes networking and security in GCP, covering Virtual Private Cloud (VPC) configuration, subnet creation, firewall rules, and network policies. Learners will explore identity and access management (IAM), role-based permissions, and security best practices. This section equips students with the knowledge needed to secure cloud resources and maintain compliance while managing complex network architectures.
The sixth module focuses on monitoring, logging, and troubleshooting. Students will learn to use tools such as Stackdriver Monitoring and Logging, Cloud Audit Logs, and Error Reporting to track application performance, detect anomalies, and resolve issues efficiently. Emphasis is placed on proactive monitoring, automation of alerts, and effective problem-solving strategies, enabling learners to maintain reliable and optimized cloud deployments.
The final module prepares learners for the Associate Cloud Engineer certification exam. It includes practice questions, scenario-based exercises, and exam-focused tips to help participants build confidence and reinforce their knowledge. By combining practical experience with theoretical understanding, this module ensures learners are fully prepared to demonstrate their expertise and achieve certification.
Key Topics Covered
The course covers a wide range of topics essential for mastering Google Cloud Platform and succeeding as an Associate Cloud Engineer. These topics are carefully selected to align with certification objectives and real-world cloud engineering responsibilities.
Introduction to cloud computing concepts, models, and benefits
Overview of Google Cloud Platform, projects, and organization structure
Navigating Google Cloud Console, using Cloud Shell, and managing resources with SDKs and APIs
Compute Engine: deploying virtual machines, configuring instances, and managing workloads
App Engine: deploying web applications and understanding scalable application architecture
Kubernetes Engine: container orchestration, deployment strategies, and scaling applications
Cloud Storage and Databases: choosing storage solutions, managing access controls, and optimizing performance
Cloud Networking: VPCs, subnets, firewall rules, load balancing, and network policies
Identity and Access Management (IAM): roles, permissions, and security best practices
Monitoring and Logging: Stackdriver Monitoring, Cloud Audit Logs, Error Reporting, and troubleshooting strategies
Cost management and resource optimization: understanding billing, quotas, and cost-saving practices
Automation tools and scripting: using GCP tools to manage resources efficiently
Exam preparation: practice questions, scenario-based exercises, and tips for certification success
These key topics provide a solid foundation for learners to gain practical skills in deploying, managing, and securing cloud infrastructure. The emphasis on hands-on experience ensures students can apply theoretical concepts in realistic scenarios, enhancing their ability to work confidently as cloud engineers.
Teaching Methodology
The teaching methodology employed in this Associate Cloud Engineer Certification training combines theoretical instruction with practical, hands-on learning. The course is designed to be interactive and engaging, allowing learners to apply concepts immediately and gain confidence in their skills. Each module is structured to provide a balance between explanation, demonstration, and practice, ensuring that learners can internalize the material and develop competence in cloud operations.
Lectures and instructional videos introduce core concepts, providing clear explanations and real-world examples to illustrate their relevance. These sessions are complemented by demonstrations that showcase how to perform key tasks on Google Cloud Platform, such as deploying applications, configuring networks, and managing resources. By observing these demonstrations, learners gain insight into best practices and operational workflows.
Hands-on labs are a central component of the course, allowing students to apply what they have learned in a controlled environment. These labs simulate real-world scenarios, such as deploying a multi-tier application, configuring IAM roles, and setting up monitoring and alerts. By completing these exercises, learners develop practical experience and the confidence to handle similar tasks in professional settings.
Interactive quizzes and exercises are integrated throughout the course to reinforce learning and provide immediate feedback. These assessments help learners gauge their understanding of the material and identify areas that require further study. Scenario-based exercises also encourage critical thinking, problem-solving, and decision-making skills, which are essential for successful cloud engineering.
The course emphasizes self-paced learning, allowing participants to progress according to their individual needs and schedules. However, it also provides structured guidance and support, including access to instructors, discussion forums, and community resources. This combination of self-directed study, guided instruction, and collaborative learning ensures that all students can achieve mastery of the material, regardless of their prior experience.
Practical projects form an important part of the methodology, as they require learners to integrate multiple concepts and services into complete solutions. These projects may involve deploying web applications, configuring storage and databases, securing cloud environments, and monitoring performance. By completing such projects, learners demonstrate their ability to perform end-to-end cloud engineering tasks, bridging the gap between theoretical knowledge and practical application.
The teaching methodology also incorporates exam preparation techniques, including practice tests, review sessions, and exam strategies. Learners are guided through the types of questions they may encounter on the Associate Cloud Engineer certification exam, helping them build confidence and familiarity with the exam format. This approach ensures that students are not only skilled in cloud engineering but also well-prepared to achieve certification.
Assessment & Evaluation
Assessment and evaluation in the Associate Cloud Engineer Certification training are designed to measure both knowledge acquisition and practical competence. The course employs a variety of assessment methods to ensure learners have a thorough understanding of Google Cloud Platform services and the ability to apply them effectively in real-world scenarios.
Quizzes are integrated into each module to test comprehension of core concepts, terminology, and procedures. These quizzes provide immediate feedback, allowing learners to identify areas where they need additional study. By regularly testing knowledge, students reinforce their learning and gain confidence in their understanding of cloud computing principles.
Hands-on labs serve as a critical component of assessment, evaluating learners' ability to execute tasks on GCP. These labs simulate real-world scenarios, such as deploying applications, managing resources, configuring networks, and implementing security measures. Successful completion of these labs demonstrates practical proficiency and ensures that learners can perform cloud engineering tasks independently.
Assignments and projects are designed to assess problem-solving skills and the ability to integrate multiple services into cohesive solutions. Learners may be asked to deploy multi-tier applications, configure storage and networking solutions, or develop automation scripts to manage cloud resources. These assignments encourage critical thinking, creativity, and effective use of GCP services.
Performance on practice exams is also a key aspect of evaluation. Learners are provided with sample certification questions and mock tests that mirror the structure and difficulty of the actual Associate Cloud Engineer exam. By completing these practice exams, students can gauge their readiness, identify knowledge gaps, and refine their exam strategies. This iterative process of testing and review helps ensure a high level of preparedness for certification.
Continuous feedback is provided throughout the course, with instructors and automated systems offering guidance on performance, areas for improvement, and best practices. This feedback loop supports learner growth, encourages reflection, and promotes mastery of both theoretical and practical skills. Participants are empowered to take ownership of their learning, track their progress, and make informed decisions about areas that require further focus.
Evaluation criteria are aligned with the skills and competencies required for successful cloud engineering. Learners are assessed not only on their knowledge of GCP services but also on their ability to apply that knowledge in practical contexts, troubleshoot problems, optimize resources, and adhere to best practices for security and compliance. This holistic approach ensures that students graduate from the course with a well-rounded skill set and are fully prepared to take on professional responsibilities as Google Cloud engineers.
The assessment and evaluation strategy also emphasizes continuous improvement, encouraging learners to revisit topics, practice repeatedly, and engage with supplementary materials. This iterative learning process helps reinforce knowledge, build confidence, and ensure that learners are fully prepared for the Associate Cloud Engineer certification exam. By combining quizzes, hands-on labs, assignments, projects, and practice exams, the course provides a comprehensive evaluation framework that supports success in both learning and certification achievement.
Benefits of the course
Enrolling in the Associate Cloud Engineer Certification training offers numerous benefits for individuals seeking to advance their careers in cloud computing and IT infrastructure. One of the primary advantages is the ability to gain a comprehensive understanding of Google Cloud Platform services and tools. Learners acquire practical experience in deploying, managing, and monitoring applications in cloud environments, which builds confidence and prepares them for real-world challenges. This hands-on exposure is invaluable for those looking to transition into cloud engineering roles or enhance their current skill set.
Another key benefit is professional recognition. Earning the Associate Cloud Engineer certification demonstrates to employers that a candidate has the knowledge and skills required to perform essential tasks on GCP efficiently. This certification validates cloud expertise, increases credibility in the job market, and opens the door to career advancement opportunities. Professionals with certification are often preferred by organizations that are adopting or expanding their use of cloud services, giving learners a competitive edge.
The course also emphasizes best practices for security, compliance, and cost management. Learners gain insight into how to implement secure cloud environments, optimize resource usage, and control expenditures effectively. Understanding these practices ensures that certified professionals can manage cloud infrastructure responsibly while maintaining organizational standards. These skills are increasingly critical in an era where cloud adoption is accelerating across industries and organizations must prioritize security and operational efficiency.
Additionally, the training fosters problem-solving and analytical skills. Through scenario-based exercises, hands-on labs, and real-world projects, learners develop the ability to troubleshoot issues, optimize workflows, and implement effective solutions. These skills are directly transferable to professional roles, allowing participants to contribute meaningfully to cloud projects from the outset. By blending theoretical knowledge with practical application, the course ensures that learners are well-prepared for both certification and professional responsibilities.
Networking and collaboration are further benefits of participating in this training. Many courses provide access to online communities, discussion forums, and instructor support, enabling learners to connect with peers, share insights, and seek guidance. Engaging with a community of cloud professionals can help expand professional networks, encourage knowledge exchange, and provide opportunities for mentorship and collaboration. This support network adds significant value to the learning experience and enhances long-term career growth.
Finally, the course offers flexible learning opportunities. Participants can often complete modules at their own pace, revisit challenging topics, and integrate study into their existing schedules. This flexibility accommodates working professionals, students, and those with other commitments while ensuring consistent progress toward certification. By balancing accessibility with comprehensive content, the Associate Cloud Engineer Certification training provides a high-quality learning experience that delivers tangible career benefits.
Course Duration
The duration of the Associate Cloud Engineer Certification training typically varies depending on the mode of delivery, learning pace, and prior experience of the participant. For a structured instructor-led course, the training usually spans four to six weeks, with dedicated sessions covering all key modules and hands-on exercises. This timeframe allows learners to absorb concepts thoroughly while engaging in practical activities that reinforce their understanding of Google Cloud Platform services.
For self-paced learning, participants can complete the course over a period of six to eight weeks or longer, depending on their schedule and availability. Self-paced courses provide flexibility, enabling learners to study at a comfortable pace, revisit topics as needed, and practice hands-on exercises repeatedly. This approach is particularly beneficial for working professionals or individuals managing multiple commitments, as it allows for personalized learning without compromising on the depth or quality of the material.
Each module is designed to be comprehensive yet manageable within a few days to a week, depending on the learner’s familiarity with cloud computing concepts. The introductory modules focus on foundational topics, gradually progressing to more advanced services and hands-on projects. This progression ensures that learners build confidence and competence step by step, reducing the risk of being overwhelmed while maximizing knowledge retention.
In addition to formal sessions or self-paced study, learners are encouraged to dedicate extra time for practice labs, review exercises, and mock exams. These activities are essential for reinforcing concepts, developing practical skills, and preparing for the Associate Cloud Engineer certification exam. By integrating structured study with practice and review, participants can optimize learning outcomes and ensure readiness for both certification and real-world cloud engineering tasks.
Overall, the course duration is designed to balance thorough coverage of GCP services with practical application and exam preparation. Whether learners choose an instructor-led or self-paced approach, the training provides sufficient time to develop expertise, build hands-on experience, and achieve certification successfully. This duration ensures that participants are well-prepared to meet the demands of cloud engineering roles and contribute effectively to organizational cloud initiatives.
Tools & Resources Required
To successfully complete the Associate Cloud Engineer Certification training, learners need access to specific tools and resources that support hands-on practice and theoretical understanding. The primary requirement is a Google Cloud Platform account, which enables participants to explore services, deploy applications, and practice configuration and management tasks. A GCP account is essential for engaging in practical labs, projects, and scenario-based exercises that form a core part of the course.
Familiarity with web browsers and basic computer operations is also necessary, as the training often involves navigating the Google Cloud Console, using Cloud Shell, and accessing online learning platforms. Learners should have access to a reliable internet connection to participate in video lectures, download resources, and complete online labs without interruption. A stable environment ensures smooth learning and consistent engagement with course materials.
Basic knowledge of command-line interfaces (CLI) is highly recommended, as many GCP tasks can be executed using commands in Cloud Shell or through scripts. Understanding scripting languages such as Python, Bash, or PowerShell enhances learners’ ability to automate tasks, manage resources efficiently, and implement solutions effectively. While advanced programming skills are not mandatory, familiarity with basic scripting concepts is beneficial for hands-on exercises.
Supplementary learning resources, including official Google Cloud documentation, study guides, and online forums, are valuable tools for reinforcing understanding. These resources provide additional explanations, examples, and troubleshooting tips that support learning beyond the structured course content. Engaging with community resources and peer discussions can also enhance problem-solving skills, encourage collaboration, and deepen comprehension of complex topics.
Software tools such as integrated development environments (IDEs), code editors, and virtualization platforms may be useful for certain labs or projects. Depending on the exercises included in the course, learners may need to interact with APIs, configure containers, or deploy applications using local development environments. Having these tools readily available ensures seamless execution of practical tasks and enhances the overall learning experience.
By combining access to GCP, familiarity with basic computing and scripting, and supplemental learning resources, participants are equipped to fully engage with the Associate Cloud Engineer Certification training. These tools and resources provide the foundation for hands-on practice, practical application, and exam preparation, ensuring that learners develop the skills necessary for success in cloud engineering roles.
Career opportunities
Completing the Associate Cloud Engineer Certification opens a wide range of career opportunities in cloud computing, IT infrastructure, and software development. Certified professionals are in high demand as organizations increasingly adopt Google Cloud Platform and other cloud technologies. The certification demonstrates validated expertise in deploying, managing, and monitoring applications on GCP, making candidates attractive to employers seeking skilled cloud engineers.
One common career path is the role of an Associate Cloud Engineer, where professionals are responsible for setting up cloud projects, managing resources, deploying applications, and ensuring operational reliability. In this position, certified individuals work closely with development and operations teams to implement scalable, secure, and cost-effective cloud solutions. The role offers opportunities for growth, as experience gained in this capacity often leads to advanced cloud engineering or architecture positions.
Another potential career opportunity is that of a Cloud Operations Engineer or DevOps Engineer. These roles involve managing cloud infrastructure, automating deployment pipelines, monitoring performance, and troubleshooting issues. With the skills acquired in the Associate Cloud Engineer training, professionals can contribute to DevOps initiatives, optimize workflows, and enhance collaboration between development and operations teams. Certification provides a strong foundation for these responsibilities and helps professionals stand out in competitive job markets.
System administrators and IT managers can also benefit from this certification, as it equips them with the knowledge needed to manage cloud-based infrastructure, implement security measures, and optimize resource usage. Professionals in these roles can leverage GCP services to streamline operations, improve efficiency, and support organizational objectives. The certification serves as proof of competence and positions individuals for leadership or specialized cloud-focused roles within IT departments.
In addition, software developers and engineers can enhance their career prospects by obtaining the Associate Cloud Engineer certification. The training equips developers with the ability to deploy applications, manage cloud resources, and integrate cloud services into their solutions. This expertise is highly valued in organizations developing cloud-native applications or migrating existing software to cloud environments, opening doors to roles such as Cloud Developer, Solutions Engineer, or Cloud Architect in the long term.
Freelancers and consultants can also benefit from this certification by offering cloud implementation and management services to clients. Certified professionals are well-positioned to provide expertise in GCP deployment, resource optimization, security, and performance monitoring. The certification adds credibility to freelance offerings, enabling professionals to secure projects, expand their client base, and establish themselves as trusted cloud experts.
Overall, the Associate Cloud Engineer Certification serves as a gateway to diverse career opportunities across industries and roles. By demonstrating proficiency in GCP services, cloud deployment, and resource management, certified professionals are well-equipped to pursue careers that align with their skills, interests, and aspirations. The training provides a strong foundation for ongoing growth, continuous learning, and advancement in the dynamic field of cloud computing.
Enroll Today
Enrolling in the Associate Cloud Engineer Certification training is a strategic step for individuals seeking to advance their careers and gain expertise in cloud computing. The course provides comprehensive coverage of Google Cloud Platform services, hands-on experience, and practical skills needed to succeed as a cloud engineer. By participating in the training, learners can develop confidence, build a portfolio of real-world projects, and position themselves for certification success.
The enrollment process is typically straightforward, with options for instructor-led sessions, self-paced learning, or blended approaches. Participants can choose the format that best suits their schedule, learning style, and professional commitments. Once enrolled, learners gain access to course modules, hands-on labs, practice exercises, and supplementary resources, ensuring a well-rounded and immersive learning experience.
Enrolling in this training also provides access to support networks, including instructors, peers, and online communities. Learners can engage in discussions, ask questions, and collaborate on exercises, fostering a sense of community and enhancing the learning experience. These interactions not only provide guidance but also create opportunities for professional networking and knowledge sharing.
The training is designed to equip learners with the skills required to perform cloud engineering tasks effectively and to pass the Associate Cloud Engineer certification exam. With structured modules, practical projects, and exam-focused preparation, participants gain the knowledge, confidence, and credentials needed to advance their careers. Enrolling today allows individuals to begin their journey toward professional growth, cloud expertise, and career opportunities in a rapidly evolving technology landscape.
By enrolling in the Associate Cloud Engineer Certification training, learners take an important step toward mastering cloud technologies, building a strong foundation in Google Cloud Platform, and unlocking new career possibilities. The skills acquired in this course are relevant, in-demand, and applicable across industries, providing long-term value and professional development opportunities. This training represents a commitment to learning, growth, and success in the cloud computing field.
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