IT & Software > IT Certifications
31 h
£14.99 Free
Google Cloud Mastery: Hands-On GCP Projects for 2024
What you will learn:
- Master core Google Cloud Platform (GCP) concepts from the ground up.
- Gain hands-on experience through practical projects.
- Prepare for the Google Cloud Associate Cloud Engineer exam.
- Explore advanced GCP services and architectures.
- Get a head start on your cloud computing career path with a GCP focus.
Description
Dive into the world of Google Cloud Platform (GCP) with this comprehensive MasterClass designed for 2024! Whether you're a beginner or seasoned professional, this course equips you with the skills and knowledge to confidently navigate GCP's vast ecosystem.
Unlock a World of GCP Expertise:
- Master core GCP concepts from the ground up.
- Develop hands-on proficiency through practical projects mirroring real-world scenarios.
- Prepare for the prestigious Google Cloud Associate Cloud Engineer exam.
- Gain insights into advanced GCP services and architectures.
- Explore cutting-edge technologies like Kubernetes, BigQuery, and Dataflow.
- Get a head start on your career path with a GCP focus.
This course is your gateway to GCP mastery! Enroll today and transform your cloud skills.
Curriculum
Course Introduction
This introductory section sets the stage for your GCP journey. You'll gain an overview of the course structure, understand the importance of the Google Cloud Associate Cloud Engineer exam, and learn how to effectively engage with the course community. Dive into the exciting world of GCP with a clear roadmap for success.
Introducing Google Cloud Platform
This section provides a solid foundation for your GCP understanding. You'll explore the core concepts of cloud computing, delve into the diverse range of GCP services, navigate Google's robust network infrastructure, and grasp the intricacies of GCP regions and zones. You'll also get a clear grasp of the transparent and user-friendly pricing model employed by GCP.
Google Cloud Account Setup
Get your hands dirty and set up your own free tier GCP account. Learn to confidently navigate the Google Cloud Web Console, a central hub for managing your GCP resources. This section also includes a bonus glimpse into the powerful world of Jenkins, a widely-used continuous integration and continuous delivery (CI/CD) tool.
Google Cloud Shell
Experience the power of Google Cloud Shell, a browser-based command-line environment that grants you direct access to your GCP projects. You'll learn how to use it effectively, explore the Google Marketplace for ready-made solutions, and get a practical understanding of Deployment Manager for deploying and managing applications.
Google Cloud Compute Engine
Dive deep into Compute Engine, the foundation of Google Cloud's infrastructure. This section equips you with hands-on skills to create, manage, and modify virtual machines (VMs) in GCP. You'll explore the powerful capabilities of Kubernetes and Google Kubernetes Engine (GKE), learn about Docker, and gain practical experience through hands-on labs. You'll also learn about the App Engine service for deploying web applications seamlessly on GCP.
Disks on Google Compute Engine
Master the management of persistent storage for your VM instances in GCP. You'll learn about disk types, perform hands-on exercises to create and manage disks, and gain a deep understanding of the concept of snapshots for backups and data recovery.
Google Cloud Storage
Explore the world of Google Cloud Storage, a robust and scalable object storage solution. You'll learn about different storage options, work with storage buckets, utilize command-line tools, and gain practical experience with Transfer Services for moving data to and from GCP. This section also dives into custom encryption keys for enhanced security.
Managed Database Service in GCP
This section provides an overview of GCP's managed database services, emphasizing the importance of efficient database management in the cloud. You'll gain insights into the role of these services and understand their significance for your GCP projects.
Architect Relational Databases (RDBMS) In GCP
Learn how to design and implement relational databases on GCP. You'll gain a thorough understanding of Cloud SQL and Cloud Spanner, perform hands-on labs to create and manage databases, and learn about efficient bulk loading techniques for large datasets.
Virtual Private Cloud (VPC) Network in GCP
Master the intricacies of GCP's Virtual Private Cloud (VPC) network. You'll explore the concept of global networks, subnets, IP addressing, and routing within VPCs. You'll also learn about firewalls, VPNs, and cloud routers, essential for securing and managing your network infrastructure on GCP. Hands-on labs reinforce these concepts with real-world scenarios.
Instance Management & Load Balancing in GCP
Enhance your GCP skills by learning how to effectively manage and scale your VM instances. You'll become proficient with instance templates for creating consistent deployments, understand instance groups for managing sets of VMs, and delve into the powerful world of load balancing. This section includes hands-on labs to solidify your understanding and includes a bonus introduction to Kubernetes.
Google Cloud CDN
Gain valuable insights into Google Cloud CDN, a content delivery network service for optimizing website performance. You'll learn the fundamental concepts of CDN technology and how it enhances the user experience for your web applications.
Google Cloud Monitoring and Logging
Ensure the health and efficiency of your GCP applications with a comprehensive understanding of StackDriver, Google's monitoring and logging platform. You'll master StackDriver monitoring and logging concepts, perform hands-on labs to practice real-world scenarios, and learn how to create alerts for proactive issue detection. You'll also explore Deployment Manager for automating infrastructure deployments.
Google Cloud Access and Identity Management
Secure your GCP resources with a thorough understanding of Cloud IAM, Google's identity and access management system. You'll become familiar with the different components of Cloud IAM, including members, roles, policies, and service accounts. This section also emphasizes best practices for securing your cloud environment.
Google Virtual Machine and Images
Dive deeper into the world of virtual machines (VMs) in GCP. This section explores the concept of live migration for seamless VM movement, provides a detailed overview of GCP VM types, and offers hands-on labs to experiment with different VM configurations. You'll also learn about custom images for pre-configuring your VM instances and understand the various billing models associated with machine types.
Compute Services Overview
This section offers a comprehensive guide to help you decide the best deployment strategy for your applications on GCP. You'll learn how to effectively choose the right compute services based on your project's specific needs and requirements.
Google Cloud BigTable
Unlock the power of BigTable, Google's NoSQL database service for managing massive datasets. You'll explore the BigTable model and architecture, understand the concept of columnar databases, and gain insights into BigTable's performance characteristics. Hands-on labs allow you to apply these concepts in practical scenarios.
Google Cloud DataStore
Discover Google Cloud DataStore, a scalable NoSQL database specifically designed for web and mobile applications. This section delves into its introduction, common applications, and explores the key differences between Firestore Native and DataStore Mode.
Google Cloud BigQuery
Master the art of data analytics with BigQuery, Google's serverless data warehousing solution. You'll explore BigQuery's applications, learn about its case studies, and gain hands-on experience with handling CSV and JSON data in practical labs. This section also covers using BigQuery via the command line.
DataFlow in Google Cloud
This section delves into DataFlow, GCP's managed service for processing large datasets using Apache Beam. You'll learn how to run DataFlow pipelines using Python and Java, providing you with the flexibility to choose the language that best suits your needs.
DataProc in Google Cloud
Explore the capabilities of DataProc, a fully managed service for running Apache Hadoop and Apache Spark clusters on GCP. You'll learn how to create and manage DataProc clusters, access them from local and cloud machines, execute PySpark jobs, and utilize the command line for cluster provisioning.
Pub/Sub for Data Streaming in Google Cloud
This section covers Pub/Sub, a robust messaging service for real-time data streaming in GCP. You'll gain an understanding of Pub/Sub's functionalities, work with Pub/Sub in hands-on labs, and explore the use of command-line tools and Python for efficient message handling.
GCP Professional Cloud Architect - Starts Here
This section marks the beginning of your journey towards becoming a GCP Professional Cloud Architect. You'll gain a clear understanding of the role of a GCP Architect and explore the essential components of the Professional Cloud Architect exam.
Cloud Resource Manager
Manage and organize your GCP resources effectively using Cloud Resource Manager. This section covers the GCP resource hierarchy, introduces project IDs and names, explores the concept of labels for organizing resources, and provides practical demonstrations on using resource quotas to control resource consumption.
Concept of GCP Billing
Get a comprehensive understanding of GCP's billing structure. This section provides an overview of the billing process, guides you through practical demonstrations on exploring billing information, and showcases how to export billing data for analysis in BigQuery.
Operations in GCP
This section focuses on essential GCP operational aspects. You'll explore Cloud Logging for troubleshooting and auditing, gain hands-on experience with Cloud Monitoring for monitoring application performance and health, and learn about trace, error reporting, and debugging tools for identifying and resolving issues.
Big Data, Machine Learning, and Data Lifecycle
This section provides an overview of Google's big data services, including BigQuery, Cloud Dataflow, and Cloud Dataproc. You'll also gain insights into machine learning capabilities in GCP and understand the complete data lifecycle, from data ingestion to analysis and utilization.
Planning Your Cloud Transition
This section guides you through the process of planning a successful transition to Google Cloud. You'll learn how to make a compelling case for cloud adoption, optimize costs for efficient cloud resource utilization, and architect cloud applications tailored to GCP's strengths.
Migrating to Google Cloud
This section focuses on the practical aspects of migrating your workloads to Google Cloud. You'll gain insights into planning a successful migration, master the Storage Transfer Service for data movement, and explore best practices for ensuring a smooth transition.
Resilient Cloud Solution Infrastructure
Ensure the reliability and availability of your GCP solutions with this section on disaster recovery. You'll learn about disaster recovery strategies for applications, explore various backup and recovery methods, and gain the knowledge needed to create resilient cloud infrastructure.
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