In this quest you will learn how to use several BQML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, leverage regression to estimate the time it will take for a ticket to be solved with the help of an automated agent developed using Dialogflow, and see how to use BQML for a classification task that predicts the likelihood of a website visitor making a purchase.

Earn a skill badge by completing the Optimize Costs for Kubernetes Engine, where you learn about the following tools and techniques to help optimize resource usage and eliminate unnecessary costs on Google Kubernetes Engine (GKE): create and manage a multi tenant cluster, monitor resource usage by namespace, configure cluster and pod autoscaling, configure load balancing, and set up liveness and readiness probes. The videos and labs in this quest explore best practices for running cost-optimized Kubernetes applications on GKE.

A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

Earn a skill badge by completing the Automating Infrastructure on Google Cloud with Terraform quest, where you will learn how to write infrastructure as code with Terraform. In this quest, you will get hands-on experience building, changing, and destroying infrastructure, managing local and remote state, importing infrastructure, and building your own modules.

A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.

Prisma™ Cloud by Palo Alto Networks is a cloud native security platform that enables cloud security posture management (CSPM) and cloud workload protection platform (CWPP) for comprehensive visibility and threat detection across your organization’s hybrid, multi-cloud infrastructure. Prisma Cloud is driven by APIs and deployed agents called Defenders. Because Prisma Cloud supports any Kubernetes platform, organizations gain a consistent security posture across on-premises, cloud and multi-cloud environments. In this quest, you will learn how Prisma Cloud provides organizations with unmatched visibility and defense-in-depth for workloads and applications running on Google Cloud Platform.

This advanced-level quest offers hands-on practice with migrating MySQL data to Cloud SQL using Database Migration Service. You will start with an introductory lab that briefly reviews how to get started with Cloud SQL for MySQL, including how to connect to Cloud SQL instances using the Cloud Console, then continue with two labs focused on migrating MySQL databases to Cloud SQL using different job types and connectivity options available in Database Migration Service. The quest ends with migrating MySQL user data when running Database Migration Service jobs.

In dieser grundlegenden Quest sammeln Sie praktische Erfahrungen mit Explainable AI, einer Reihe von Tools und Plattformen, mit denen Sie integrative und interpretierbare Modelle für maschinelles Lernen entwickeln und diese vertrauensvoll einsetzen können. Schließen Sie diese Quest ab, einschließlich des Challenge Lab am Ende, um ein exklusives digitales Google Cloud-Abzeichen zu erhalten.

Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event driven applications and big data pipelines on Google Cloud Platform. In this Quest, you will first learn how to deploy and create a streaming data pipeline with Apache Kafka. You will then perform hand-on labs on the different functionalities of the Confluent Platform such as deploying and running Apache Kafka on GKE, building a Cloud Run Streaming Application with Apache Kafka on Anthos or developing a Streaming Microservices Application.

Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.