This is a self-paced lab that takes place in the Google Cloud console. Managed Service for Microsoft Active Directory (AD) is a highly available, hardened Google Cloud service running actual Microsoft AD that enables you to manage authentication and authorization for your AD-dependent workloads, automate AD server maintenance and security configuration, and connect your on-premises AD domain to the cloud.

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn about effective questioning techniques that can help guide analysis. - Gain an understanding of data-driven decision-making and how data analysts present findings. - Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making. - Discover how and why spreadsheets are an important tool for data analysts. - Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions. - Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to use a bash script to download selected data from a large public data set that is available on the internet.

This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to filter explores with LookML

This is a self-paced lab that takes place in the Google Cloud console. Cloud SQL for PostgreSQL Database Observability and Tuning

This is a self-paced lab that takes place in the Google Cloud console. Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis. Watch the short video Dataprep: Qwik Start - Qwiklabs Preview.

This course explains why CICS is perfect for powering the next generation of enterprise applications and how you can help build them. IBM CICS is the trusted core of enterprise applications and transaction processing. You will experience writing, updating and running CICS applications as well as the new APIs, capabilities and functions that will allow you to modernize these applications to run as part of a hybrid cloud application. On successful completion of this course, the learners are eligible to claim a badge. More information can be found here: https://www.credly.com/org/ibm/badge/how-to-modernize-applications-with-ibm-cics

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to leverage additional management tools available with Cloud Volumes ONTAP for Google Cloud.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use Google Cloud Client Libraries for .NET to query BigQuery public datasets with C#.

Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses.​​ In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam. You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam. You will test your knowledge in a series of practice exams​ mapped to all the main topics covered in the AI-900 exam, ensuring you’re well prepared for certification success. You will prepare to pass the certification exam by taking practice tests with similar formats and content. You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AI-900 proctored exam. By the end of this course, you will be ready to sign-up for and take the AZ-900 exam.​ This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.