Google Cloud: Google Cloud 2024 beginner
Technology:
Expertise:
- 5 Courses | 4h 42m 57s
- 1 Course | 1h 15m 50s
- 2 Books | 10h 14m
- 1 Course | 51m 32s
- 1 Book | 6h 50m
- 2 Courses | 4h 51m
- 2 Courses | 3h 46m 30s
- 14 Courses | 23h 17m 6s
- 15 Courses | 13h 54m 50s
- 2 Books | 13h 43m
- 19 Courses | 26h 56m 8s
- 2 Books | 6h 50m
- 16 Courses | 11h 36m 51s
- 3 Books | 20h 33m
- 2 Courses | 3h 10m 16s
- 2 Courses | 1h 50m 15s
- 1 Book | 6h 50m
- 35 Courses | 45h 36m 13s
- Includes Lab
- 52 Courses | 65h 16m 58s
Explore development for Google Cloud so you can build cloud solutions for all your business needs.
GETTING STARTED
Practical GCP for DevOps: Google Cloud Platform Basics
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55s
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10m 34s
GETTING STARTED
Working with Google Cloud SQL: An Introduction to Cloud SQL
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2m 1s
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11m 53s
GETTING STARTED
Google Cloud Digital Leader: Digital Transformation with the Cloud
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1m 33s
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12m 20s
GETTING STARTED
Serverless App Development: Implementation in Google Cloud Platform
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2m
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8m 58s
GETTING STARTED
CloudOps with Google Cloud Platform Tools
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1m 19s
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7m 53s
GETTING STARTED
Google Professional Cloud Developer: Cloud Applications & APIs
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1m 3s
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10m 52s
GETTING STARTED
Google Professional Cloud Architect: Cloud Architecture & System Design
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1m
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6m 18s
COURSES INCLUDED
User Management
Get acquainted with G Suite, and explore various user creation and configuration settings. Also, discover administrative task delegation and how to create custom roles.
20 videos |
1h 23m
Assessment
Badge
Group & OU Management
G Suite groups can be used for various reasons, such as forming mailing lists and assigning permissions. G Suite organizational units (OUs) contain users and devices that share similar settings. Explore G Suite groups and OUs.
13 videos |
46m
Assessment
Badge
Email & Calendar Management
Discover how G Suite mail settings, such as routing, whitelisting, and filtering, improves user experience. Also, explore how calendar sharing and creating calendar resources, such as conference rooms, makes scheduling efficient.
15 videos |
1h 5m
Assessment
Badge
Service Configuration & Management
Discover how G Suite service configuration settings control storage, sharing, and Chrome. Also, explore how audits and alerts can be used to notify administrators of service modifications.
9 videos |
38m
Assessment
Badge
Security, Service, & Mobile Device Management
Explore G Suite security settings, including working with exception groups and user authentication. Also, explore how G Suite provides centralized mobile device management.
11 videos |
49m
Assessment
Badge
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FREE ACCESS
COURSES INCLUDED
Google Cloud: Getting Started
Google Cloud Platform (GCP) provides cost-effective, scalable, high-performing, and secure solutions for business-critical workloads. Explore GCP's value, including storage, databases, big data, and identity and access management (IAM).
19 videos |
1h 15m
Assessment
Badge
COURSES INCLUDED
Instance Creation
Google Cloud SQL lets developers quickly create and manage instances of MySQL. Explore Cloud SQL and how to use the Google Developers Console to create Cloud SQL instances.
12 videos |
51m
Assessment
Badge
COURSES INCLUDED
Practical GCP for DevOps: Google Cloud Platform Basics
You can't build a house without tools and materials. Similarly, you can't build a DevOps infrastructure without the tools and materials needed to support developer needs. In this course, learn about the basics of the Google Cloud Platform (GCP). Explore how GCP compares to other cloud platforms and learn about different elements of the platform, such as computing, storage, and networking. Next, investigate tools and services like identity management, databases, analytics, and artificial intelligence. Finally, examine the relationships between the GCP and container technologies such as Docker, clustering container technologies such as Kubernetes, and orchestration technologies such as Jenkins. Upon completion, you'll be able to identify how elements of Google Cloud Platform (GCP) support a DevOps framework.
18 videos |
2h 9m
Assessment
Badge
Practical GCP for DevOps: Google Cloud DevOps Components
In order to be a competent practitioner of Google Cloud technologies, you will need to get up close and personal with the various tools used to create a DevOps infrastructure. In this course, you will discover the different components of the Google Cloud Platform (GCP). Begin by exploring the App Engine, Compute Engine, and Cloud VMware Engine. Then, learn how to enable and manage data storage such as Cloud Storage, Filestore, and databases such as Firebase, Bigtable, Datastore, and Firestore. You will delve into the mechanics of cloud networking using a content delivery network (CDN) and Cloud Router. Finally, investigate automation tools such as Cloud Build, as well as tools for monitoring and logging using Cloud Operations. After completing this course, you'll be able to implement the GCP elements that support a DevOps framework
20 videos |
2h 41m
Assessment
Badge
COURSES INCLUDED
Working with Google Cloud SQL: An Introduction to Cloud SQL
Google Cloud SQL is a cloud-hosted, fully-managed database service on Google Cloud Platform (GCP). With Cloud SQL, users focus on modeling and managing the data in the systems, and GCP takes care of the management of the infrastructure and platform. Through this course, learn about Cloud SQL's architecture and features and how to set up a MySQL instance on this service. Explore Cloud SQL and some of its significant features and use cases. Next, practice provisioning a MySQL database instance and connect to Cloud SQL from an external client. Finally, discover some important configuration options for a Cloud SQL instance. Upon completion, you'll be able to name Cloud SQL's features and use cases and provision a MySQL instance.
14 videos |
1h 47m
Assessment
Badge
Working with Google Cloud SQL: Advanced Topics in Cloud SQL
Cloud SQL is a relational database service that has a lot to offer. Features such as high availability and more are built into the service, which has been widely adopted across industries. Through this course, learn about advanced Cloud SQL topics. Practice provisioning Cloud SQL instances that are running both PostgreSQL and MySQL database engines and configuring a Cloud SQL instance for high availability. Next, discover how to test a failover process and how read replicas can be provisioned. Finally, learn how to migrate from a VM MySQL database to a MySQL instance in Google Cloud SQL and integrate a Cloud SQL instance with App Engine and BigQuery. Upon completion, you'll be able to provision instances of Cloud SQL using different database engines.
14 videos |
1h 59m
Assessment
Badge
COURSES INCLUDED
Google Cloud Digital Leader: Digital Transformation with the Cloud
Digital transformation with the cloud involves leveraging cloud technologies to innovate, streamline operations, and enhance business agility. It enables organizations to adopt new business models, improve customer experiences, and drive significant efficiencies through scalable and flexible cloud solutions. In this course, you will learn about the Cloud Digital Leader certification, including an overview of the certification's requirements, exam details, and key topics. This will give you a clear understanding of the skills needed to achieve this certification. Next, you will explore the fundamentals of cloud computing, focusing on its core principles and benefits such as scalability, cost efficiency, and flexibility. You will also examine how cloud computing drives digital transformation, with case studies illustrating real-world applications and benefits. Finally, you will investigate different cloud deployment models, including private, public, hybrid, and multicloud environments and you will discover various cloud service models, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Digital transformation with the cloud involves leveraging cloud technologies to innovate, streamline operations, and enhance business agility. It enables organizations to adopt new business models, improve customer experiences, and drive significant efficiencies through scalable and flexible cloud solutions. In this course, you will learn about the Cloud Digital Leader certification, including an overview of the certification's requirements, exam details, and key topics. This will give you a clear understanding of the skills needed to achieve this certification. Next, you will explore the fundamentals of cloud computing, focusing on its core principles and benefits such as scalability, cost efficiency, and flexibility. You will also examine how cloud computing drives digital transformation, with case studies illustrating real-world applications and benefits. Finally, you will investigate different cloud deployment models, including private, public, hybrid, and multicloud environments and you will discover various cloud service models, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This course helps prepare learners for the Google Cloud Digital Leader certification exam.
12 videos |
1h 54m
Assessment
Badge
Google Cloud Digital Leader: Introducing Google Cloud Concepts
Google Cloud empowers users with a comprehensive suite of services, providing the tools necessary to innovate and optimize operations. By understanding the shared responsibility model, total cost of ownership, and Google Cloud's infrastructure, users can effectively navigate and utilize its ecosystem to enhance business agility and efficiency. In this course, you will learn about Google Cloud and its various services, including compute, storage, networking, AI, and big data. This will provide you with an overview of the vast capabilities and functionalities available within Google Cloud. Next, you will explore the shared responsibility model on the cloud, understanding the division of responsibilities between cloud providers and customers. You will also examine the total cost of ownership, gain insights into Google Cloud's global infrastructure, and learn about the Google Cloud Adoption Framework. Finally, you will dive into fundamental Google Cloud concepts and the resource hierarchy within the platform. You will create a project on Google Cloud, access various products and services, and become familiar with Cloud Shell and the Cloud Shell Editor. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
14 videos |
2h 11m
Assessment
Badge
Google Cloud Digital Leader: Compute on the Google Cloud
Google Cloud's compute capabilities provide robust tools for optimizing performance and cost, with flexible configurations and advanced management features. In this course, you will learn about the compute capabilities of Google Cloud, focusing on the specifics of Compute Engine configuration. You will explore various options and settings to optimize performance and cost, gaining a comprehensive understanding of managing compute resources within Google Cloud. Next, you will navigate to the Google Compute Engine page to create instances and configure regions, zones, and machine types. You will complete virtual machine (VM) configurations by specifying the boot disk, setting up service accounts, and viewing networking, management, and other options. You will also practice connecting to VMs using Secure Shell (SSH) for effective management and interaction. Finally, you will use the gcloud command line tool to manage instances, run a simple website on a VM, configure startup scripts, and create snapshots. These hands-on activities will provide you with practical experience needed to effectively manage and deploy applications on Google Cloud. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
12 videos |
1h 35m
Assessment
Badge
Google Cloud Digital Leader: Working with Data
Managing diverse data types effectively is crucial for modern organizations to drive informed decision-making and optimize operations. Understanding the characteristics and storage solutions for different data types enables businesses to harness the full potential of their data assets. In this course, you will learn about the historical challenges of working with data, including difficulties accessing, managing, and analyzing large volumes of diverse information. You will explore the characteristics of structured, semi-structured, and unstructured data, and the problem with data silos. Next, you will investigate the characteristics of various data storage systems, including relational databases for structured data with complex relationships, key-value stores for simple lookups, and document databases for semi-structured data. Then you will examine data warehouses and data lakes. Finally, you will discover how to choose the right storage paradigm based on specific use-cases and data requirements. You will examine the distinctions between first-, second-, and third-party data, analyze the data value chain, and learn about data governance. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
17 videos |
2h 5m
Assessment
Badge
Google Cloud Digital Leader: Storage Options for Unstructured Data
Effectively managing unstructured data is essential for organizations to optimize their storage solutions and ensure data accessibility and protection. Leveraging Google Cloud Storage allows businesses to utilize scalable, cost-effective storage options while implementing robust data management practices and advanced features. In this course, you will discover the various storage options for unstructured data, focusing on Google Cloud Storage (GCS). You will navigate through the Google Cloud Console, familiarize yourself with its interface and capabilities, and study the properties of buckets. Then you will explore different storage classes, such as standard, coldline, and archive, and analyze the tradeoffs between storage and access costs. Next, you will learn how to view objects and their metadata within GCS, and practice working with objects using the gsutil command line tool. You will investigate bucket-level retention policies and the importance of placing holds on objects to prevent accidental deletion or modification. Finally, you will examine generation and metageneration, object lifecycle rules, object versioning, and the soft delete feature. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
13 videos |
1h 34m
Assessment
Badge
Google Cloud Digital Leader: Storage Options for Structured Data
Managing structured data in the cloud is crucial for ensuring reliable and scalable database operations. Leveraging services like Cloud SQL, AlloyDB, and Cloud Spanner allows organizations to optimize their data management practices, enhance performance, and integrate seamlessly with other cloud services for comprehensive data solutions. In this course, you will explore storage options for structured data, focusing on the features of Cloud SQL. You will gain hands-on experience in provisioning a Cloud SQL instance, managing users, configuring settings, and ensuring security. Then you will learn how to connect to a Cloud SQL instance using various tools and methods. Next, you will learn about high availability (HA) for Cloud SQL, the benefits of choosing Cloud SQL for different use cases, and Cloud SQL Studio. Finally, you will discover advanced database solutions, like AlloyDB, a fully managed PostgreSQL-compatible database service designed for high performance and scalability, and Cloud Spanner, which is ideal for transactional data, offering global consistency and horizontal scalability. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
12 videos |
1h 17m
Assessment
Badge
Google Cloud Digital Leader: Enterprise Data Warehouses
Managing large-scale analytics and diverse data types is essential for organizations to derive valuable insights and optimize performance. Leveraging Google Cloud solutions like BigQuery, Bigtable, Firestore, and Looker enables businesses to efficiently handle analytical and semi-structured data, while gaining powerful business intelligence. Discover how to leverage BigQuery for large-scale analytics to manage and analyze extensive datasets effectively. You will explore Bigtable for semi-structured data and Firestore for real-time capabilities and ease of use. Next, you will learn how to choose the right storage solution for structured data. Then you will investigate the process of migrating databases to the cloud and the best practices for a smooth transition. Additionally, you will learn how to derive business intelligence and insights using Looker. Finally, you will focus on practical aspects of managing data in BigQuery to create datasets and tables, run queries, and optimize data management processes, use Looker Studio to visualize data, and practice command line operations with the bq tool. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
14 videos |
1h 53m
Assessment
Badge
Google Cloud Digital Leader: Data Processing Pipelines
Optimizing data processing and analytics is crucial for organizations to effectively manage and derive insights from their data. Leveraging Google Cloud's suite of tools enables businesses to build robust, scalable data pipelines and facilitate real-time analytics and workflow automation. In this course, you will explore batch and stream analytics, focusing on their distinct advantages and use cases. You will examine the processes involved in extract, transform, load (ETL) and extract, load, transform (ELT) pipelines. Next, you will investigate the characteristics of Dataproc, which simplifies big data processing on the cloud, as well as various Google Cloud services for ETL, such as Dataflow, which offers real-time stream and batch data processing capabilities. Finally, you will discover real-time messaging with Pub/Sub, Google's service for ingesting event data from multiple sources, supporting real-time analytics and data integration. You will learn about Cloud Composer, a fully managed workflow orchestration service, along with other data-related technologies, gaining insights into how they facilitate the management and automation of complex data workflows. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
8 videos |
52m
Assessment
Badge
Google Cloud Digital Leader: AI & ML on Google Cloud
Leveraging artificial intelligence (AI) and machine learning (ML) is essential for powering innovation and data-driven decision-making. In this course, you will explore the foundational concepts of AI and ML, including features, models, and training, and you will contrast AI/ML with business intelligence. Next, you will discover generative AI's capabilities and the attributes of good data, emphasizing quality, diversity, and relevance for effective machine learning. Additionally, you will delve into responsible AI, learning ethical considerations and best practices for developing fair, transparent, and accountable AI systems. Finally, you will examine Google Cloud's Vertex AI platform, perform machine learning on Google Cloud using tools like AutoML for automated training and custom training for tailored solutions, and take a look at TensorFlow, BigQuery ML, and pre-trained application programming interfaces (APIs) for common use cases such as vision, video, and speech. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
14 videos |
1h 54m
Assessment
Badge
Google Cloud Digital Leader: Managing Infrastructure on Google Cloud
Digital transformation with the cloud involves using cloud technologies to drive profound and positive organizational change. Getting on to the cloud is the first step. By learning about migration strategies, virtual machines, and containerized environments, organizations can achieve better scalability, cost savings, and performance. In this course, you will learn about migration strategies, such as lift and shift and improve and move. You will become familiar with essential cloud migration terms, follow the cloud migration path, and explore various migration tools to move workloads to the cloud efficiently. Next, you will discover the benefits of running workloads on the cloud, including scalability, cost-efficiency, and enhanced performance, dive into running compute on virtual machines, and investigate Google Compute Engine, you will explore running compute on containers, learn the principles of the microservices architecture, manage containers using Kubernetes, and study the architecture of a Kubernetes cluster. Finally, you will work with Google Kubernetes Engine, learning how to deploy, manage, and scale containerized applications efficiently. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
15 videos |
2h 4m
Assessment
Badge
Google Cloud Digital Leader: Modern Applications on Google Cloud
Cloud services offer a wide range of compute options, from Infrastructure as a Service (IaaS) to Platform as a Service (PaaS) offerings. Understanding serverless computing, managed instance groups, load balancing, and application programming interfaces (APIs) enables organizations to combine these options effectively to build scalable, reliable, and integrated applications. In this course, you will explore serverless computing, including Cloud Functions, Cloud Run, and App Engine to deploy and manage applications without provisioning servers. Next, you will discover managed instance groups for automating the creation and management of identical virtual machine instances, and load balancing for distributing traffic across multiple instances, improving the reliability and performance of applications. Finally, you will evaluate the uses of APIs, learn how APIs facilitate communication between different software systems to enable integration and functionality extension, and examine running hybrid and multicloud workloads, gaining insights into managing applications across diverse cloud environments. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
15 videos |
1h 42m
Assessment
Badge
Google Cloud Digital Leader: Trust & Security on Google Cloud
Securing cloud environments involves understanding key security principles and implementing robust control measures. This approach ensures organizations can protect their resources, manage identities effectively, and maintain the integrity and availability of their data. In this course, you will discover privileged access, the principle of least privilege (POLP), and the CIA Triad, which are essential components of a robust security framework. Next, you will explore various security measures to protect cloud resources. You will compare on-premises security with cloud security and examine the different cybersecurity threats that organizations face today. Additionally, you will gain insights into the security infrastructure of Google Data Centers and how they ensure the safety and reliability of their services. Finally, you will dive into Google Cloud's Identity and Access Management (IAM) service and study the different types of principals in Cloud IAM and the various roles they can assume. By differentiating between basic, predefined, and custom roles, you will learn how to manage identities and access effectively. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
14 videos |
1h 34m
Assessment
Badge
Google Cloud Digital Leader: Networks on Google Cloud
Network management on the cloud is very different from that in the on-premises world and involves very different tools and building blocks. Understanding Google Cloud networking technologies and their specific use cases enables organizations to build scalable, reliable, and secure cloud systems. In this course, you will discover Virtual Private Cloud (VPC) on Google Cloud, shared VPCs, and VPC peering. Then, you will explore Cloud Interconnect, Chrome Enterprise Premium, and BeyondCorp, Google's Zero Trust security model. Next, you will investigate immutable infrastructure to ensure systems are not altered after deployment. You will also take a look at Infrastructure as Code (IaC), as well as Cloud Deployment Manager and Terraform to manage infrastructure through code, enhancing automation and consistency. Finally, you will examine Cloud Armor to protect against DDoS and other cyberattacks. You will learn about Cloud Data Loss Prevention to identify and protect sensitive data and you will integrate security practices into the operations workflow with security operations (SecOps), enhancing overall security posture. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
8 videos |
49m
Assessment
Badge
Google Cloud Digital Leader: Compliance & Operations on Google Cloud
Google has comprehensive trust principles and support for various international standards and regulations related to trust and safety. Enterprises can also leverage Google Cloud Support and services to ensure sound cloud cost management and operations. In this course, you will learn about the Google trust principles and data sovereignty considerations, ensuring data security and compliance with international regulations. You will explore Google Cloud compliance resources and financial governance on the cloud, including best practices for managing cloud finances. Then you will discover Google Cloud resource hierarchies for effectively organizing and managing resources, as well as cost management tools, such as the Google Cloud Billing Calculator, to control cloud consumption and optimize expenses. Next, you will build knowledge in Cloud Reliability with DevOps and basic reliability concepts in cloud environments. You will learn about observability tools on Google Cloud, including logging, monitoring, profiling, tracing, and error reporting. Finally, you will investigate Google Cloud customer care, support services, and the life cycle of a support ticket. This course helps prepare learners for the Google Cloud Digital Leader certification exam.
14 videos |
1h 46m
Assessment
Badge
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FREE ACCESS
COURSES INCLUDED
Platform Fundamentals
Google Cloud Platform offers several solutions to streamline any enterprise while keeping costs low. Explore these benefits, including how to navigate GCP and choose between the various data processing products it provides.
9 videos |
43m
Assessment
Badge
Storage & Analytics
Google Cloud Platform (GCP) offers several services for analytics and storage. Explore the storage, compute, and analytics concepts and how they are tied together.
13 videos |
1h 7m
Assessment
Badge
Deeper through GCP Analytics & Scaling
The big data industry is getting bigger, and GCP has several management tools designed for common use cases. Explore common concepts and use cases, including analytics tools and operations.
10 videos |
38m
Assessment
Badge
GCP Network Data Processing Models
You can create and manage an assortment of data processes and network models using GCP. Explore the various types, including using a GPU and TensorFlow to create and manage GPU and instances.
10 videos |
35m
Assessment
Badge
Dataproc
GCP provides fully managed cloud services for running Apache Spark and Hadoop. Explore the concepts of cluster management with Dataproc, including machine types and workers.
10 videos |
35m
Assessment
Badge
Dataproc Architecture
Dataproc can be used to perform several operations when integrating platforms, including Pig and Hive. Explore Dataproc architecture while introducing the use of Pig and Hive.
10 videos |
40m
Assessment
Badge
Dataproc Operations
Executing Dataproc implementations with big data can provide a variety of methods. Examine Dataproc implementations with Spark and Hadoop using the cloud shell and introduce BigQuery PySpark REPL package.
10 videos |
52m
Assessment
Badge
Implementations with BigQuery for Big Data
You can query big data using the BigQuery tool in the Google Cloud Platform. Discover the concepts of using BigQuery, including querying data and using the Google API.
11 videos |
1h 11m
Assessment
Badge
Fundamentals of BigQuery
BigQuery is an essential tool for any data analyst using Google Cloud Platform. Explore BigQuery and examine several operations including multiple table queries, nested and repeated fields and building BigQueries.
10 videos |
1h 13m
Assessment
Badge
APIs & Machine Learning
Machine learning and ML APIs are part of the Cloud ML engine. Explore the various ML APIs and how to implement an app that uses the Vision API.
9 videos |
59m
Assessment
Badge
Dataflow Autoscaling Pipelines
Apache Beam, Cloud Dataflow, and Cloud Dataprep can be used to create data pipelines. Explore how areas of Beam, Apache Beam SDK, Cloud Dataflow, and Cloud Dataprep assist in pipeline management.
10 videos |
37m
Assessment
Badge
Machine Learning with TensorFlow & Cloud ML
Cloud ML combines the Google Cloud Platform with TensorFlow to create models at scale. Explore concepts behind TensorFlow and scaling, as well as training models locally and in the cloud.
14 videos |
1h 19m
Assessment
Badge
GCP Engineering & Streaming Architecture
Feature engineering can be an essential tool in applied machine learning when enhancing a dataset. Explore concepts of feature engineering, including areas of streaming architecture and implementations.
12 videos |
1h 9m
Assessment
Badge
Streaming Pipelines & Analytics
Streaming data pipelines require operations that are very different from batch operations. Explore data stream operations, analytics, and the Google Data Studio visualization tool.
12 videos |
1h 2m
Assessment
Badge
GCP Big Data & Security
Complex operations require more managed and secure systems. Explore the use of Cloud Spanner and Bigtable to create more complex data service configurations and managing secure data infrastructure.
11 videos |
1h 7m
Assessment
Badge
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FREE ACCESS
COURSES INCLUDED
Serverless App Development: Implementation in Google Cloud Platform
Google Cloud Platform (GCP) offers several tools for serverless application development and deployment. Use this course to learn how to take advantage of GCP serverless compute, storage, and app services. Investigate the GCP tools for hosting applications and examine how Google Cloud Functions and App Engine work. Explore the pros and cons of Firebase, the benefits of using Cloud Run, the use cases of Cloud Datastore, and the GCP serverless products for building apps for analytics. Moving along, explore GCP serverless microservices and how serverless deployments can improve DevOps productivity. Finally, learn how to deploy Node.js Cloud Functions, applications to App Engine, and containers from a Container Registry repository to Cloud Run. Store and query data in Firestore in Datastore mode and create streaming pipelines. When you're done, you'll be able to use GCP tools to develop scalable serverless applications efficiently and successfully.
22 videos |
2h 22m
Assessment
Badge
Serverless Applications in the Cloud: Implementation Using Cloud Run
Cloud Run on the Google Cloud Platform (GCP) enhances the experience of building and deploying scalable serverless applications. Use this course to become familiar with using Cloud Run on a GCP-powered, fully managed serverless platform. Explore Cloud Run architectures, the role of Knative, and how Cloud Run and Cloud Run for Anthos differ. Investigate the lifecycle of a Cloud Run container, services for defining serverless service workflows, and GCP's load balancing and autoscaling capabilities. Differentiate between Cloud Tasks and Cloud Scheduler and outline best practices for designing, implementing, testing, and deploying Cloud Run services. After completing the course, you'll be able to package a simple Node.js application into a container image, deploy it to Cloud Run, use Cloud Build triggers to automate builds and deployments to Cloud Run, set up Cloud Code extension on IntelliJ, and create Cloud Run services using Cloud Code's starter templates.
14 videos |
1h 20m
Assessment
Badge
Google Associate Cloud Engineer: Google Cloud Platform Ecosystem
Google Cloud Platform is a suite of cloud services that provides reliable and highly scalable cloud computing services that help its users store data, build, test, and deploy apps. It provides computing services for backend, mobile and web solutions using the internet. You'll begin with exploring Google Cloud Platform and the various Google Cloud services available matching them to business needs, such as Virtual Machines, Kubernetes and Cloud Functions. You'll learn how to create a GCP account and navigate the console, create a billing account, establish budgets and alerts, setup billing exports, link accounts to Google Cloud projects and use the GCP pricing calculator. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
12 videos |
52m
Assessment
Badge
Google Associate Cloud Engineer: Configuring Google Cloud
Google Cloud Platform reduces costs while increasing agility and capturing new opportunities. In this course, you'll begin by learning how to use using Google Cloud Shell. You'll explore how to install and use Cloud tools, the gcloud CLI, Google Cloud SDK, and other utilities that come pre-installed. Next, you'll learn about various Google Cloud database services such as Cloud SQL, which provides a cloud-based alternative to local MySQL, PostgreSQL, and SQL Server databases. You'll examine Cloud Spanner, a fully managed relational database with unlimited scale. You'll move on to learn about Cloud Bigtable, a NoSQL wide-column store for large scale, low latency workloads. Finally, you'll learn about BigQuery, Dataproc, and Cloud Marketplace. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
14 videos |
1h 16m
Assessment
Badge
Google Associate Cloud Engineer: Google Cloud Resource Manager
Google Cloud Resource Manager allows you to hierarchically manage resources by project, folder, and organization. In this course, you'll learn about Google Cloud Resource Manager and the resource hierarchy, as well as how to set up an organization resource to ensure projects will follow the organization's life cycle on Google Cloud. You'll then examine how to create and manage a Google Cloud project and an organization. You'll explore how to create labels and tags, move and migrate projects, and enable APIs within projects. Next, you'll learn how to manage Google Cloud folders by learning how to set roles and permissions, create folders, configure access, and create a project in a folder. Finally, you'll learn to enable and view audit logs, and set up and manage Cloud Identity. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
17 videos |
1h 27m
Assessment
Badge
Google Associate Cloud Engineer: Google Cloud Load Balancing
Google Cloud Load Balancer is a fully distributed, software-defined managed service that offers a single IP address to serve as the front end, and automatic intelligent autoscaling of the back end. This means you don't need to manage physical load balancing infrastructure. In this course, you'll learn about Google Cloud Load Balancer, how to identify the key components and choose which one is best for your implementation, and how to manage access control using Identity and Access Management. You'll also explore how to run and scale services behind internal and external IP addresses, use a network load balancer to distribute traffic, distribute SSL and TCP traffic, and distribute traffic to applications running on back-end instances. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
13 videos |
1h 18m
Assessment
Badge
Google Associate Cloud Engineer: Implementing Google Compute Engine
Google Cloud gives you compute and hosting options, and you can work in a serverless environment, use a managed application platform, leverage container technology, or build your own cloud-based infrastructure for the most control and flexibility. In this course, you'll begin by learning about Virtual Machine instances and the instance life cycle, as well as how to create different instances such as preemptible and Windows Server instances. Next, you'll examine how to provision sole-tenant nodes, generate SSH keys, connect to Linux and Windows VM instances using Google Cloud Console, and use the gcloud command-line tool with SSH keys. Finally, you'll learn how to create a managed instance group and an instance template. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
14 videos |
1h 11m
Assessment
Badge
Google Associate Cloud Engineer: Managing Google Compute Engine
Google Cloud Engine is the Infrastructure as a Service component of the Google Cloud Platform. It is built on the same infrastructure that runs Google's search engine, Gmail, and even YouTube. In this course, you'll start by learning how to setting up Virtual Machine Manager. You'll explore how to manage a VM instance by going through its life cycle, including starting, stopping, suspending, and resuming an instance. You'll then learn how to update an instance by using gcloud or API, as well as how to connect to it by using Secure Shell and Remote Desktop Protocol. You'll also examine how to create a VM with attached GPUs. Next, you'll learn to setup and use OS inventory management, create and view snapshots and images, and use instance groups and templates. Finally, you'll explore how to query the metadata server to retrieve information, and how to access and request quota increases. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
14 videos |
1h 19m
Assessment
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Google Associate Cloud Engineer: Implementing Google Kubernetes Engine
Google Cloud is the birthplace of Kubernetes, an open-source system used to deploy, scale, and manage containerized applications. In this course, you'll begin by learning about Google Kubernetes Engine, the different modes of operations, and the types of clusters that can be created. Next, you'll examine how to create different GKE clusters and explore Kubernetes pods and different types of controller objects. You'll examine GKE security features, the different aspects of GKE networking, and the storage options for applications running on GKE. Finally, you'll learn to deploy a GKE cluster and a Docker container image on a GKE cluster, create a Google Cloud service account, and configure GKE monitoring and logging. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
15 videos |
1h 26m
Assessment
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Google Associate Cloud Engineer: Managing Google Kubernetes Engine
Google Kubernetes Engine is a secured and fully-managed Kubernetes service that features autopilot mode of operation, pod and cluster autoscaling, and enterprise-ready containerized solutions. Use this course to get familiar with using the Google Kubernetes Engine dashboard. Start by learning how to manage clusters and controlling access to them. Next, you'll examine the use of the dashboard to perform other operations, such as creating and using volumes with deployments, creating secrets to store sensitive data, and using Config Connector for Kubernetes. You'll also explore how to view the container image repository, manage node pools, and implement pod deployments. You'll then discover the creation of StatefulSets, DaemonSets, and a ConfigMap. Finally, you'll learn to use Persistent volumes and dynamic provisioning to manage durable storage in your clusters. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
15 videos |
1h 8m
Assessment
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Google Associate Cloud Engineer: Implementing Google App Engine
Google App Engine is a Platform as a Service and a cloud computing platform that provides web app developers and enterprises with scalable hosting services. In this course, you'll learn about the different Google App Engine environments that are available, as well as Google App Engine feature deprecations and how to install SDKs. Next, you'll explore how to setup a Cloud Run environment and Cloud Functions. You'll then examine how to deploy App Engine using gcloud, deploy a container image to Cloud Run, and deploy Cloud Functions from your local machine, GitHub, and Bitbucket. Finally, you'll learn how to deploy an app that receives Google Cloud events and setup Pub/Sub notifications for Cloud Storage. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
11 videos |
54m
Assessment
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Google Associate Cloud Engineer: Managing Google App Engine
Google App Engine is a fully managed serverless environment that manages infrastructure concerns by provisioning servers and scaling your instances based on demand, allowing you to focus on code. You'll begin by learning how to use traffic splitting to distribute traffic across multiple services, use Traffic Migration to route requests, map custom domains to your apps, and secure your custom domain with SSL. Next, you'll learn how to manage your app resources, update your scaling configurations, set parameters with the API, and deploy versions of your app to App Engine. Finally, you'll learn how to create and view a Cloud Run service, and view a list of revisions to a service. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
12 videos |
1h 5m
Assessment
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Google Associate Cloud Engineer: Implementing Google Cloud Storage
Google Cloud Storage is an infrastructure as a service (IaaS) public cloud storage platform that can house large unstructured data sets. Use this course to learn more about Google Cloud Storage along with its features and functions. Start your journey by exploring Object Lifecycle Management, different Cloud Storage options, and the best practices associated with cloud storage. You'll then examine storage buckets and how they are used. You'll also learn to identify the naming guidelines, locations, and requirements for domain-named buckets. Finally, you'll discover how to create a storage bucket using Google Cloud console and the gsutil tool, change the storage class of objects as well as buckets, and migrate a database to Cloud SQL. After you have completed this course, you'll have the skills and knowledge to implement Google Cloud storage and prepare for the Google Cloud Associate Cloud Engineer certification.
14 videos |
1h 27m
Assessment
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Google Associate Cloud Engineer: Managing Google Cloud Storage
Google Cloud Storage is a service for storing and retrieving your objects in Google Cloud. It can be used for serving web site content, archival and disaster recovery, and distributing large data objects. In this course, you'll begin by exploring how to list Cloud Storage buckets in a project and how to move objects between them. You'll learn to label and convert buckets, setup lifecycle management policies, and execute queries. Next, you'll examine how to use BigQuery to estimate storage and query costs, restore and back up an instance using Cloud SQL Data Management, and use the managed export and import service. Finally, you'll learn how to use Dataproc, the Dataflow monitoring interface, and BigQuery to review the status of jobs. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
14 videos |
1h 19m
Assessment
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Google Associate Cloud Engineer: Google Virtual Private Cloud
Google Virtual Private Cloud provides virtualized network functionality to Google Compute Engine virtual machine instances, Google Kubernetes Engine clusters, and the Google App Engine flexible environment. You'll begin by learning about Virtual Private Cloud and the creation of VPC networks and subnets. You'll learn how to launch Google Compute Engine instances with custom network configurations and configure Private Google Access. Next, you'll discover how to assign tags to VMs, create and manage routes, create ingress and egress firewalls, and use Cloud VPN to create a VPN between Google VPC and external networks. Finally, you'll learn how to create and launch Deployment Manager templates, add subnets to existing VPCs, use gcloud to expand subnets, and reserve new static IP addresses. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
15 videos |
1h 47m
Assessment
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Google Associate Cloud Engineer: Google Cloud Operations Suite
Google Cloud's operations suite, formerly Stackdriver, is used to monitor, log, diagnose, and improve application performance on your Google Cloud environment. In this course, you'll learn about Cloud Monitoring, including how to install the Cloud Monitoring agent on a VM, manage the agent on multiple VMs, and create custom metrics. Next, you'll explore how to create a resource group, use the dashboard to manage alert policies, create a workspace to organize, and manage the monitor information. You'll learn about Cloud Logging and logs-based metrics, as well as how to create charts and alerts using the Google Cloud Console, view and filter logs in Logs Explorer, and search logs with Legacy Logs Viewer. Finally, you'll examine how to create and manage log sinks, use the Cloud Error Reporting console, use Cloud Trace and Cloud Debugger, and view the Google Cloud status dashboard. This course is one of a collection of courses that prepares learners for the Google Cloud Associate Cloud Engineer certification.
18 videos |
2h 2m
Assessment
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Google Associate Cloud Engineer: Google Identity & Access Management (IAM)
Google Cloud Identity and Access Management (IAM) is an indispensable tool for Cloud Engineers. It offers centralized access control and visibility of all Google Cloud resources, providing a unified view of security policies across the entire organization. Use this course to explore how IAM works in general and in Google Cloud. Learn how to manage IAM user roles, view IAM role assignments, and identify grantable roles. Practice working with custom roles, service accounts, and IAM audit logs. Lastly, examine identity federation in IAM. Learn how to access resources using workload identity and configure conditional access. By the end of the course, you'll be able to manage all resource authorization using Google Cloud IAM. This course is part of a collection that prepares learners for the Google Cloud Associate Cloud Engineer certification.
16 videos |
1h 40m
Assessment
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Serverless App Development: Applications with Google Cloud Functions
With the serverless execution environment Google Cloud Functions, application code executes in a fully managed environment, removing the need to provision infrastructure or manage servers. Using this course, explore the use of Google Cloud Functions, the runtimes it supports, and its frameworks. Examine the features of Cloud Firestore and Firebase Realtime Database along with some common Cloud Functions tests. Create HTTP functions using Node.js, Python, Java, and Go and deploy Cloud Functions from your local machine, source repository, and GCP console. Moving along, write background Cloud functions using Cloud Pub/Sub and Cloud Storage triggers and unit tests for the HTTP-triggered and event-driven functions. Use Log Explorer for a variety of tasks and integrate Cloud functions with ReactJS-based applications. When you're done, you'll be able to use Google Cloud Functions to write simple, single-purpose functions attached to events emitted from cloud infrastructure and services.
18 videos |
1h 40m
Assessment
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Serverless App Development: Implementation with Google App Engine
App Engine is a fully managed serverless platform that provides a managed environment and custom runtimes to build highly scalable applications in Node.js, Java, Ruby, C#, Go, Python, and PHP without any infrastructure concerns. Use this course to become familiar with using Google App Engine. Learn how to deploy multiple API versions to the same App Engine version and structure the services and related resources of applications for App Engine. Explore the different methods for splitting traffic in App Engine, the various mechanisms for securing web applications on App Engine, and the key features of Google Cloud's operations suite. Finally, work with web apps, data, and testing in App Engine and configure monitoring and logging for Google Serverless applications. When you're done with this course, you'll know when and how to use App Engine during serverless implementation.
14 videos |
1h 13m
Assessment
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COURSES INCLUDED
Container, Compute, & App Engine
Google Cloud Platform (GCP) is a cloud computing suite offering services, such as machine learning, storage, big data, analytics, IoT, and DevOps. Explore GCP's Container Engine, Compute Engine, App Engine, and basic networking services.
20 videos |
1h 13m
Assessment
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Storage Solutions
Google Cloud Platform (GCP) offers several storage and database solutions based on varying workloads and business needs. Explore some of these solutions, including Cloud Datastore, Cloud Storage, Cloud SQL, Cloud Bigtable, and BigQuery.
17 videos |
1h 5m
Assessment
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Google Cloud Architect: Cloud Basics
Discover the characteristics that define cloud computing. Explore cloud types such as public and community, and also common cloud service models.
11 videos |
40m
Assessment
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Google Cloud Architect: Cloud Design
Explore cloud design considerations related to storage, networking, and virtual machines, as well as high availability, load balancing, and cloud migration options.
10 videos |
44m
Assessment
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Google Cloud Architect: Network Components
Cloud networking borrows from traditional on-premises network configurations. Explore and configure Google Cloud network components.
12 videos |
56m
Assessment
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Google Cloud Architect: Web Applications & Name Resolution
Explore web application, content delivery networks, and DNS name resolution will be covered. You'll also learn about cloud network connections through VPNs and dedicated links.
9 videos |
43m
Assessment
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Google Cloud Architect: Data Storage
Cloud storage is easily and rapidly provisioned in Google Cloud. In this module storage types are discussed along with methods of getting data into the cloud.
12 videos |
58m
Assessment
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Google Cloud Architect: Virtual Machine Deployment
Discover Windows and Linux virtual machine (VM) deployment and explore how to connect to these VM instances for management purposes.
6 videos |
33m
Assessment
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Google Cloud Architect: Virtual Machine Configuration
There are differnet methods for deploying virtual machines (VMs) Discover virtual machine deployment methods such as snapshots and templates, and explore VM cloning and instance groups.
13 videos |
48m
Assessment
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Google Cloud Architect: Security
Discover security concepts and how they apply to Google Cloud. Explore physical data center security, intrusion detection, security testing, and auditing.
10 videos |
42m
Assessment
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Google Cloud Architect: Identity Management
Discover how to create and manage Google Cloud users and groups with Identity and Access Management.
10 videos |
37m
Assessment
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Google Cloud Architect: Programmatic Access
Automation is the key to running repetitive management tasks. Explore Google APIs, PowerShell cmdlets and the gcloud command line tool.
7 videos |
33m
Assessment
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Google Cloud Architect: Monitoring & Logging
Cloud resource use must be monitored to ensure proper functionality and use. Examine monitoring, alerts, and notifications through Stackdriver as well as how to view and export logs.
9 videos |
30m
Assessment
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Google Cloud Architect: Solution Management & Testing
Cloud solutions should follow a structured approach throughout their lifetime. Explore SDLC phases, ITIL, and various testing techniques.
8 videos |
28m
Assessment
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Google Cloud Architect: Troubleshooting
Troubleshooting problems with deployed cloud services should be done with a structured approach. Discover a structured troubleshooting methodology for troubleshooting common problems.
6 videos |
30m
Assessment
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Google Cloud Architect: CLI Cloud Resource Management
The gcloud and gsutil CLI tools can be used to deploy and manage Google Cloud resources and automate repetitive administrative tasks. Explore these Google Cloud tools.
10 videos |
31m
Assessment
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COURSES INCLUDED
CloudOps with Google Cloud Platform Tools
Explore the features, benefits, and solutions provided by Google Cloud Platform (GCP) for end-to-end CloudOps implementation in this 14-video course, which examines features of Cloud Build and how to work with Cloud Build to automate workflows and application deployment. Learn how to create a source code repository by using Google Cloud Console and gcloud command line tool. Also, learn how to build and implement delivery pipelines with tools and services provided by GCP by exploring the technical, process, measurement, and cultural capabilities of GCP that drive high software delivery with CloudOps, along with the prominent solutions, benefits, and approaches of implementing end-to-end GCP CloudOps. Examine features provided by GCP's Cloud Build, along with how to use Cloud Build and cloud source repositories and GitHub to automate App Engine deployment, the prominent tools provided by GCP, and how to build configuration management workflows in GCP. Finally, discover how to create continuous delivery pipelines by using Google Kubernetes Engine, cloud source repositories, Cloud Build, and Spinnaker for Google.
14 videos |
1h 18m
Assessment
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GCP DevOps: CloudOps with Google Cloud Platform
In this 18-video course, learners explore features of Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), best practices for operating containers, and how to build cloud-native applications with CloudOps methodology. First, compare Google Cloud Source Repository with GitHub, and see how automated deployment capabilities of Google Cloud Deployment Manager compare with Terraform. Then delve into GCP's machine learning (ML), artificial intelligence, and analytical capabilities and essential design patterns for connecting GCP with other cloud platforms. Discover how to create and configure GKE clusters; deploy applications across multiple Kubernetes clusters; create repositories and manage code with Google Cloud Source Repository; and deploy applications from Cloud Source Repository to App Engine. Next, learn how to automate the configuration of GCP resources and application deployment with Google Cloud Deployment Manager, create virtual machine (VM) instances on GCP; build applications with Terraform; and configure AutoML and BigQuery to manage large volumes of data and build ML models. Finally, learners discover how to set up fully-managed real-time messaging environments, and transfer data between GCP and other Cloud Service providers.