This is a self-paced lab that takes place in the Google Cloud console. In this lab, you configure Private Google Access and Cloud NAT for a VM instance that doesn't have an external IP address. Then, you verify access to public IP addresses of Google APIs and services and other connections to the internet.

By the end of this project, you will be able to create a simple Gantt Chart using Google Sheets. You will have a better understanding of how to use this tool to help track and present project schedules. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam. At the end of this course you will have all the knowledge and tools to help you identity your strengths and weaknesses in each certification domain areas that are being tested on the certification exam. The AWS Certified Solutions Architect – Associate exam is intended for individuals who perform in a solutions architect role. The exam validates a candidate’s ability to design secure and robust solutions by using AWS technologies. The exam also validates a candidate’s ability to complete the following tasks: Design a solution by using appropriate AWS services and by following architectural principles based on requirements. Provide implementation guidance based on best practices to the organization throughout the workload lifecycle. This course covers material specific to the SAA-C03 version of the AWS Certified Solutions Architect - Associate exam. In the new version of the exam, many of the domains and task statements were reordered or renumbered; however, most of the content is the same. Only one task statement for the new version of the exam is NOT included in this course: Domain 3: Design High-Performing Architectures, Task Statement 5: Determine high-performing data ingestion and transformation solutions. At the end of the course materials, you will find a new section (“SAA-C03 Updates”) that contains additional information about differences between the exam versions: SAA-C02 versus SAA-C03 SAA-C03 New Material

By the end of this project you will have used LibreOffice to create a variety of reports for displaying data that originates in relational tables. A report provides a way for users to view only the data they need, and in the format that makes data analysis most effective. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Did you know that you can use Azure Machine Learning to help you analyze data? In this 1-hour project-based course, you will learn how to display descriptive statistics of a dataset, measure relationships between variables and visualize relationships between variables. To achieve this, we will use one example diabetes data. We will calculate its descriptive statistics and correlations, train a machine learning model and calculate its feature importance to see how features affect the label and visualize categorical data, as well as relationships between variables, in Jupyter notebook. In order to be successful in this project, you will need knowledge of Python language and experience with machine learning in Python. Also, Azure subscription is required (free trial is an option for those who don’t have it), as well as Azure Machine Learning resource and a compute instance within. Instructional links will be provided to guide you through creation, if needed, in the first task. If you are ready to learn how to analyze data, this is a course for you! Let’s get started!

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.

This course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. You will explore incident response methodologies and security models. You will learn to recognize and categorize key types of vulnerabilities and associated attacks against today's organizations. You will explore in depth several past and recent breaches to learn how they were detected and what was done or could have been done to reduce the threat risk to the organization. Finally, you will explore the costs of data breaches through research studies and well known breaches. This course requires you to select and research a cybersecurity breach in the news today and apply your knowledge and skills from this course and previous cybersecurity courses to analyze the type of attack, attack timeline, vulnerable systems, and any missed opportunities. This project will be graded by your peers in the course. This course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the seventh and final course in a series of courses to acquire the skills to work in the Cybersecurity field as a Cybersecurity Analyst. The completion of this course also makes you eligible to earn the Cybersecurity Capstone: Breach Response Case Studies IBM digital badge. More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/cybersecurity-breach-case-studies . In this course, you will learn to: ● Apply incident response methodologies. ● Research and describe a watering hole attack. ● Research and describe ransomware threats and the consequences to organization. ● Research and describe 3rd party breaches and how they affect an organization. ● Research and describe the effects of a phishing attack. ● Research and describe a point of sale attack and approximate cost of data breaches. ● Perform a case study on a current cyber attack and breach.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to use Cloud Profiler on GCP by downloading a sample Go program then exploring the captured data in the Profiler console.

This is a self-paced lab that takes place in the Google Cloud console. Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short videos Bigtable: Qwik Start - Qwiklabs Preview and Handle Massive Worklo…