Cloudera Educational Services

This four-day course teaches the architecture, deployment, and configuration of Cloudera Data Services on Embedded Containerized Services (ECS). Cloudera Data Services provide a state-of-the-art, low- code platform that unifies the entire data lifecycle, reducing development costs and accelerating the development and deployment of use cases.   The course starts by covering best practices for managing Docker images and containers. Students will then build a Docker private registry. This Docker private registry will be used to deploy a Data Services cluster on ECS. Students will install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Through hands-on exercises, students will gain experience with Kubernetes, install a Private Cloud Embedded Container Service (ECS), and deploy Cloudera Data Services. Additionally, the course covers networking and hardware requirements and explains how Kubernetes pods dynamically scale to support Cloudera Data Services. Who should take this course This immersive course is designed for Cloudera Administrators transitioning to managing Cloudera Data Services on premises. Students should have at least 3 to 5 years of system administration experience. Students must have proficiency in the Linux Command Line Interface and knowledge of Identity Management, including Transport Layer Security and Kerberos. Familiarity with SQL select statements is recommended. Prior experience with Cloudera products is required. Students need reliable internet access to connect to the Amazon Web Services environment used in this course. Recommended prerequisite courses • ADMIN-230: Administering Cloudera on premises • ADMIN-332: Securing Cloudera on premises   DATE: March 8-11, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

Cloudera is a fully integrated edge to AI product set. Cloudera Manager is purposely built as the DevOps tooling for building and managing the Cloudera platform. This four-day hands-on 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.   DATE: March 8-11, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

This instructor-led course provides hands-on experience with building agentic AI workflows using Cloudera AI. Participants will learn how to work with Cloudera AI Agent Studio, configure large language models, connect tools and MCP servers, build multi-agent workflows, and apply guardrails for secure and reliable AI applications. Through practical use cases, participants will explore how agentic AI can be used to orchestrate tasks, interact with enterprise data and tools, and build intelligent workflows on Cloudera. This course is designed for AI/ML Engineers, Data Scientists, Data Engineers, MLOps Engineers, Solution Architects, Platform Engineers, and other technical professionals who want to build and deploy agentic AI solutions using Cloudera AI.   _________________________________________________ DATE: March 1-2, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

This four-day Analyzing with Data Warehouse course will teach you to apply traditional data analytics and business intelligence skills to big data. This course presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages. Download full course description What you'll learn Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the ecosystem, learning how to: Use Apache Hive and Apache Impala to access data through queries Identify distinctions between Hive and Impala, such as differences in syntax, data formats, and supported features Write and execute queries that use functions, aggregate functions, and subqueries Use joins and unions to combine datasets Create, modify, and delete tables, views, and databases Load data into tables and store query results Select file formats and develop partitioning schemes for better performance Use analytic and windowing functions to gain insight into their data Store and query complex or nested data structures Process and analyze semi-structured and unstructured data Optimize and extend the capabilities of Hive and Impala Determine whether Hive, Impala, an RDBMS, or a mix of these is the best choice for a given task Utilize the benefits of CDP Public Cloud Data Warehouse   What to expect This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity.   DATE: March 1-4, 2026 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

This three-day course provides participants with a comprehensive understanding of the Cloudera platform and its integrated services, including Cloudera Data Warehouse, Cloudera Data Engineering, Cloudera Data Flow, and Cloudera AI. Participants will gain hands-on experience in designing, implementing, and optimizing data workflows and analytics solutions within the Cloudera ecosystem. The course emphasizes practical strategies for building scalable, secure, and efficient data-driven solutions tailored to enterprise needs. Key topics include data ingestion and processing, stream management, query optimization, machine learning integration, and managing resource performance in production environments. Download full course description   DATE: February 22-24, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more

Overview Apache NiFi 2.0 is revolutionizing data flow automation. This course provides in-depth knowledge of NiFi 2.0's enhanced capabilities, empowering you to build intelligent, efficient, and governed data pipelines for today's most demanding data challenges. You'll explore AI integration, advanced flow management features, and streamlined Python scripting, enabling you to create data solutions that are not only powerful but also adaptable and maintainable. Learn to build more intelligent and efficient NiFi workflows leveraging the new GenAI and Python processors along with the flow governance tools.   What you'll learn During this course, you learn how to:  Integrate Generative AI with Apache NiFi 2.0, including practical use cases.  Understand the key changes in NiFi 2.0 compared to NiFi 1.x, such as deprecated processors and their new replacements.  Clarify the differences between open-source NiFi 2.0 and Cloudera CFM4 with NiFi 2.0, with a focus on Cloudera-specific processors for GenAI.  Perform a migration from NiFi 1.x to NiFi 2.0 and effectively monitor your new NiFi 2.0 instance.  Who Should Take This Course? 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. Prerequisites Participants should have a foundational understanding of data flow concepts and experience with Apache NiFi. Familiarity with Python programming is beneficial but not mandatory.   DATE: February 22, 2027 9:00 - 17:00 (CET TIMEZONE) Virtual Classroom, EMEA Read more