Cloudera Educational Services

Overview The Cloudera platform is intended to meet the most demanding technical audit standards. The significant improvements in Cloudera architecture and components make Cloudera “Secure by Design.” This four-day hands-on course is presented as a project plan for Cloudera administrators to build fully secured Cloudera clusters.   The course begins with implementing Perimeter Security by installing host level security and Kerberos. Next, students protect Data by implementing Transport Layer Security using Auto-TLS and data encryption using Key Management System and Key Trustee Server (KMS/KTS). Following this, in the third stage, students control access for users and to data using Apache Ranger and Apache Atlas. The fourth stage focuses on visibility practices, teaching students how to audit systems, users, and data usage. Finally, the course introduces Cloudera practices for Risk Management in a fully secured Cloudera platform. This course is 60% exercise and 40% lecture.   Who should take this course? This immersion course is designed for Linux Administrators transitioning to Cloudera Administrator roles. Students must have proficiency in Linux (e.g., navigating the file system, using basic commands) and Linux text editors (e.g., vi, nano). Familiarity with Directory Services, Transport Layer Security, Kerberos, and SQL select statements is recommended. Prior experience with Cloudera products is required. Students must have reliable internet access to connect to the classroom environments hosted on Amazon Web Services.   DATE: November 17-20, 2026 9:30 - 17:30 (GMT+8 SGT TIMEZONE) Virtual Classroom, APAC Read more

This 3-day course by Cloudera Education introduces participants to implementing enterprise data governance and lineage using Cloudera Data Governance and Cloudera Data Lineage. Learners will gain practical knowledge of how to manage, control, classify, and trace data across the enterprise while supporting regulatory and compliance requirements such as GDPR and HIPAA. The course covers key governance concepts including data classification, metadata management, data protection, lineage tracking, impact analysis, and policy enforcement to improve data transparency, regulatory compliance, and overall trust in enterprise data ecosystems.   DATE: Month, Day, Year 9:00 - 17:00 (TIMEZONE) Virtual Classroom, GEO 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: December 15-16, 2026 9:30 - 17:30 (GMT+8 SGT TIMEZONE) Virtual classroom, APAC Read more

This course introduces Apache Iceberg, a high-performance open table format for organizing petabyte-scale analytic datasets on a file system or object store, available on Cloudera Data Warehouse and Cloudera Data Engineering on both Private and Public Cloud. Combined with Cloudera Data Platform, Iceberg can enable users to build an open data lakehouse architecture for multi-function analytics and to deploy large-scale end-to-end pipelines. This course covers various aspects of Apache Iceberg, such as benefits, architecture, internal operation, read and write operations, and advanced functions, all while drawing comparisons to Hive and building on the students’ existing knowledge and experience. DATE: December 7-10, 2026 9:00 - 17:00 (GMT+1 TIMEZONE) Virtual Classroom, EMEA Read more

About This Training Generative AI (GenAI) and Large Language Models (LLMs) are extremely powerful new tools that are changing every industry. To fully take advantage of GenAI and LLMs, these new capabilities need to be combined with your existing enterprise data. This two-day course teaches how to use Cloudera AI to train, augment, fine tune, and host LLMs to create powerful enterprise AI solutions. What Skills You Will Gain Through lecture and Hands-On exercises, you will learn how to: Select the right LLM model for a use case Configure a Prompt for an LLM Use Retrieval Augmented Generation (RAG) Fine Tune an LLM Model with Enterprise Data Use the AI Model Registry and host an LLM Create an AI Agent with Crew AI Who Should Take This Course This course is designed for data scientists and machine learning engineers who need to understand how to utilize Cloudera AI to leverage the full power of their enterprise data, generative AI, and Large Language Models and deliver powerful business solutions.   DATE: November 30 - December 1, 2026 9:00 - 17:00 (GMT+1 TIMEZONE) Virtual Classroom, EMEA Read more

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 four-day 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. Download full course description     DATE: November 23-26, 2026 9:00. -17:00 (GMT+1 TIMEZONE) Virtual Classroom, EMEA Read more