Cloudera Educational Services

One of the most critical functions of a data-driven enterprise is the ability to manage ingest and data flow across complex ecosystems.  Does your team have the tools and skill sets to succeed at this? Apache NiFi and this four-day course provides the fundamental concepts and experience necessary to automate the ingress, flow, transformation, and egress of data using NiFi. The course also covers tuning, troubleshooting, and monitoring the dataflow process as well as how to integrate a dataflow within the Cloudera CDP Hybrid ecosystem and external systems. Download full course description  What you'll learn During this course, you learn how to:  Define, configure, organize, and manage dataflows  Transform and trace data as it flows to its destination  Track changes to dataflows with NiFi Registry  Use the NiFi Expression Language to control dataflows  Optimize dataflows for better performance and maintainability Connect dataflows with other systems, such as Apache Kafka, Apache Hive, and HDFS Utilize the Data Flow Service What to expect This course is designed for developers, data engineers, administrators, and others with an interest in learning NiFi’s innovative no-code, graphical approach to data ingest. Although programming experience is not required, basic experience with Linux is presumed, and previous exposure to big data concepts and applications is helpful. December 8-11, 2025 Virtual Classroom, EMEA 9:00 - 17:00 (GMT+3 TIMEZONE) Read more

Welcome to our Introduction Series for Cloudera Education. The following contains excerpts from Admin:230 Administering Cloudera on premises, that is part of our full OnDemand Training Library.  The complete library is available for purchase. Upon completion you will see a path to continue your Cloudera training journey. Many courses include hands-on labs and the OnDemand library comes with 100 hands-on lab hours to practice the concepts and exercises taught. Please enjoy this section of your selected course to help you on your data journey. Disclaimer - The following descriptions and objectives are for the full course. Overview Lab environment is included with this course. Starting in lesson 04 you will be able to launch your environment. This course presents detailed explanation, comprehensive theory, key skills, and recommended practices for successful platform administration. Upon completion of this course a Cloudera Administrator will learn the full range of functionality and capability of Cloudera Manager. This course provides an in-depth explanation and skills to become highly productive with Cloudera Manager and the Cloudera platform. Cloudera Manager is a full featured and mature DevOps tool. It is used to install, configure, operate, troubleshoot, report, and upgrade Cloudera. Many Cloudera Administrators only use a fraction of the capabilities built into Cloudera Manager. This course teaches the architecture, deployment, configuration, logging, reporting, REST API, and much more. The course provides references for architecture and recommended practices used by enterprises around the globe. What to expect While this course is an entry point for aspiring Cloudera Administrators this course is detailed enough for more senior Cloudera Administrators to discover new functionality and capabilities. This course is intended for Linux Administrators who are taking up roles as Platform Administrators. We recommend a minimum of 2 years of system administration experience in industry. Students must have proficiency in Linux. Knowledge of Directory Services, Transport Layer Security, Kerberos, and SQL select statements is helpful. Students must have access to the Internet to reach Amazon Web Services. Read more

Welcome to our Introduction Series for Cloudera Education. The following contains excerpts from DSCI:272 - Predicting with MLOps on Cloudera AI, that is part of our full OnDemand Training Library. The complete library is available for purchase. Upon completion you will see a path to continue your Cloudera training journey. Many courses include hands-on labs and the OnDemand library comes with 100 hands-on lab hours to practice the concepts and exercises taught. Please enjoy this section of your selected course to help you on your data journey. Disclaimer - The following descriptions and objectives are for the full course.   Overview Enterprise data science teams need collaborative access to business data, tools, and computing resources required to develop and deploy machine learning workflows. Cloudera AI, part of the Cloudera platform, provides the solution, giving data science teams the required resources. This course covers machine learning workflows and operations using Cloudera AI. Participants explore, visualize, and analyze data. You will also train, evaluate, and deploy machine learning models. The course walks through an end-to-end data science and machine learning workflow based on realistic scenarios and datasets from a fictitious technology company. The demonstrations and exercises are conducted in Python (with PySpark) using Cloudera AI. ​ Course Length This course includes approximately 8.5 hours of video lectures and demonstrations.  You will need your own environment to work on the labs. The labs will take approximately 7 hours to complete.   What to expect The course is designed for data scientists who need to understand how to utilize Cloudera AI and the Cloudera platform to achieve faster model development and deliver production machine learning at scale. Data engineers, developers, and solution architects who collaborate with data scientists will also find this course valuable. Read more

About This Course Explore the core features of Cloudera AI and how they power modern AI and ML workflows. This course introduces Cloudera’s end-to-end AI capabilities—from data engineering and warehousing to model deployment—all built on a unified platform designed for enterprise-grade AI. You’ll gain foundational knowledge of tools like the Cloudera AI Workbench, AI Inference Service, Model Hub, AI Registry, and Private AI architecture, and understand how they come together to support scalable, secure, and efficient AI solutions.  Learn how the enterprise can Infuse, Build, and Run AI with Cloudera. Goal: By the end of this course, you’ll be able to identify the key components of Cloudera AI and explain how they support enterprise AI initiatives from data to deployment. TIME:  45 minutes Read more

Recovery Assistance Cloudera’s Recovery Assistance offering is available to help customers with time-sensitive Non-Break Fix (NBF) issues specifically targeting production down, environment-specific NBFs. Customer’s purchase, and Cloudera (Government Solutions) Inc.’s (CGSI) performance, of Recovery Assistance is governed by the terms and conditions of the existing Enterprise Subscription Master Agreement between CGSI and Customer, or between Customer and CGSI’s Authorized Partner, as applicable.  If no such agreement exists, the terms and conditions of the CGSI Enterprise Subscription Master Agreement at https://www.cloudera.com/legal/commercial-terms-and-conditions/cgsi-enterprise-subscription-master-agreement.html will apply. On a single incident per purchase basis, Cloudera will provide Recovery Assistance for an outage experienced by Customer in a Cloudera-based production system; provided that: (i) such production system was functioning properly prior to such incident; (ii) all Recovery Assistance is provided by Cloudera remotely and no personnel onboarding requirements are permitted; and (iii) Customer has submitted a Support Services ticket to Cloudera with respect to such incident and Cloudera Customer Support has determined the outage is due to one or more of the following items (which items are currently excluded from Cloudera’s Support Services under the Cloudera Support Policy): (a) the installation or removal of the Cloudera Products; (b) performance tuning; (c) information or assistance on technical issues related to the debugging, installation, administration, or use of Customer’s computer systems and enabling technologies including, but not limited to, databases, computer networks, communications, hardware, hard disks, networks, and printers; (d) Customer’s negligence or misuse of the Cloudera Products; and/or (e) any act or omission of Customer and/or any third party. Recovery Assistance is limited solely to the restoration of the Cloudera-based production system experiencing the outage. No new Cloudera Product functionality or documentation will be provided. The Recovery Assistance purchased hereunder must be used within 12 months of the Effective Date of purchase. Recovery Assistance not used within such 12 month period will expire and no refund will be given. In the event of any conflict between the terms of the Agreement and these terms, these terms will prevail, but only with respect to the Recovery Assistance described herein. Customer’s purchase of Recovery Assistance using a credit card indicates Customer’s acceptance of the terms and conditions provided above. Read more

DO NOT START THIS CERTIFICATION EXAM HERE! Once you have been enrolled, you will receive an email with additional instructions to schedule your exam. Read more