This is a self-paced lab that takes place in the Google Cloud console. In this lab, Deploy Cloud IDS (Intrusion Detection System), a next-generation advanced intrusion detection service that provides threat detection for intrusions, malware, spyware and command-and-control attacks, to simulate multiple attacks and view the threat details.

In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.

The Accountant Connect Certification Program is designed to provide accounting professionals with the knowledge, skills, and expertise needed to become proficient in the use and application of Accountant Connect. THIS COURSE IS LIMITED TO LEARNERS IN THE UNITED STATES. Co-developed with Rootworks – the accounting profession’s premier firm improvement organization – and presented by its founder Darren Root, CPA, Accountant Connect product developer Rhonda Shurter, and experts from Wolters Kluwer – the self-study curriculum provides a thorough review of the key tasks and features of Accountant Connect that can help to modernize your firm’s payroll process, improve efficiency, and strengthen advisory services. Upon passing ADP's Accountant Connect certification exam, you’ll obtain an official certificate, 3 CPE Credits, as well as a digital badge, to help strengthen your firm’s marketing and showcase your expertise. Add it to your firm’s website and share it on social media with current and prospective clients to further solidify your role as their most trusted advisor. Important Note: We recommend that you are an active user of Accountant Connect to register for this certification program. If you are a RUN Partner/Wholesaler please access Accountant Connect through the RUN platform. You can otherwise, access the Accountant Connect tool at the following link: https://www.adp.com/logins/adp-accountant-connect.aspx. Certification Benefits: Upon successful completion of the program, you’ll unlock many valuable benefits that can help both your firm and your clients, including: • Recognition as a Certified Partner in ADP Accountant Connect • An expanded skillset to perform advanced tasks using Accountant Connect • Help to enhance your firm’s efficiency and earnings potential • Expanded career opportunities • Earn 3 CPE credits from Wolters Kluwer CPELink while earning your certification • Exclusive promotions and discounts made available throughout the year to Certified Partners Program Content: This 3-hour and 15-minute course reviews the key tasks and features of Accountant Connect and prepares you for the certification exam. Topics include adding and working with clients, automating reports and tax forms, advising clients with the analysis tools, and leveraging the products and services offered through Accountant Connect, including the Wolters Kluwer’s CCH Resource Library. Getting Started: In order to earn your Certified Partner in ADP Accountant Connect certification, at the end of this self-study curriculum here in Coursera, you must: • Register for the certification exam by clicking the link provided at the end of this course and following the instructions for purchase. The cost of the exam is $295. • Pass the certification exam.

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

By the end of this course you will be able to start writing your own Jenkins scripts either in the Jenkins UI or as Jenkinsfile over a multi-stage CD workflow.

This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more. Through a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as new Cloud Identity Administrators. Learning Objectives By the end of this course participants will be able to: • Establish a Cloud Identity domain for their organization or personal domain. • Add users in order to practice user lifecycle management. • Modify user permissions to gain an understanding of core Cloud Identity features. • Add mobile devices within the Google Mobile Management module. • Modify mobile management policy sets to gain familiarity with product options. • Navigate the Reports module, and practice running reports. • Explore and apply different security protocols to the domain. IMPORTANT - Before you enroll, you should be prepared to: • Sign up for a free 14 day trial of Cloud Identity. You will need to enter payment method information. We will show you step-by-step how to cancel your account if you wish to end your Cloud Identity instance at the end of training and avoid being charged. • Purchase a new domain or use one that you already own. The domain you use IS NOT included as part of the Cloud Identity trial.

This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation