Cloud Digital Leader: Google Cloud Digital Leader
- 14 Courses | 23h 17m 6s
Explore Google Cloud products and cloud computing basics and how they benifit organizations as you preoare for the Cloud Digital Leader certification exam.
GETTING STARTED
Google Cloud Digital Leader: Digital Transformation with the Cloud
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1m 33s
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12m 20s
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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