Cloudera Educational Services

Overview This five-day course provides the in-depth explanation and skills to become highly productive with Kubernetes by teaching its architecture, deployment, configuration, logging, reporting, and more. Kubernetes's complexity is due to its extensive feature set and intricate object model, which includes concepts like Pods, Deployments, and Services. It also relies on YAML configuration files and requires managing a distributed system across multiple nodes. The course provides references for architecture and recommended practices used by administrators. Download full course description   What you'll learn Understand the architecture of Kubernetes and its components. Deploy and manage applications on Kubernetes. Utilize Kubernetes features for scaling and self-healing. Implement best practices for security and networking. Troubleshoot common issues in Kubernetes environment   Who Should Take This Course? This course is an immersive training for a full range of Kubernetes users, from administrators to DevOps to developers. This course is intended for senior technicians with strong skills in Linux and application lifecycle. Students must have proficiency in Linux CLI. Students must have access to high-speed Internet to download various public Git repositories. The classroom environment is a four-node cluster running on Linux.   DATE: December 14-18, 2026 9:30 - 17:30 (Seoul TIMEZONE) Onsite Classroom, APAC Read more

Overview This five-day course provides the in-depth explanation and skills to become highly productive with Kubernetes by teaching its architecture, deployment, configuration, logging, reporting, and more. Kubernetes's complexity is due to its extensive feature set and intricate object model, which includes concepts like Pods, Deployments, and Services. It also relies on YAML configuration files and requires managing a distributed system across multiple nodes. The course provides references for architecture and recommended practices used by administrators. Download full course description   What you'll learn Understand the architecture of Kubernetes and its components. Deploy and manage applications on Kubernetes. Utilize Kubernetes features for scaling and self-healing. Implement best practices for security and networking. Troubleshoot common issues in Kubernetes environment   Who Should Take This Course? This course is an immersive training for a full range of Kubernetes users, from administrators to DevOps to developers. This course is intended for senior technicians with strong skills in Linux and application lifecycle. Students must have proficiency in Linux CLI. Students must have access to high-speed Internet to download various public Git repositories. The classroom environment is a four-node cluster running on Linux.   DATE: October 12-16, 2026 9:30 - 17:30 (Seoul TIMEZONE) Onsite Classroom, APAC Read more

Designing Edge to AI Applications is a 4-day learning event that addresses advanced big data architecture topics for building edge to AI applications to cover streaming, operational data processing, analytics, and machine learning.  The workshop brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, participants apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for participants to learn techniques for architecting big data systems, not only from Cloudera’s experience but also from the experiences of fellow participants.  More specifically, this workshop addresses advanced big data architecture topics, including, data formats, transformation, transactions, real-time, batch and machine learning processing, scalability, fault tolerance, security, and privacy, minimizing the risk of an unsound architecture and technology selection. What you'll learn Cloudera Data Platform Big Data Architecture Building Scalable applications Building Fault Tolerant Solutions Security and Privacy Deployment on Public, Private, and Hybrid Cloud What to expect Participants should mainly be architects, developer team leads, big data developers, data engineers, senior analysts, dev ops admins and machine learning developers who are working on big data or streaming applications and have an interest in how to design and develop such applications on CDP. To gain the most from the workshop, participants should have working knowledge of popular Big Data and streaming technologies such as HDFS, Spark, Kafka, Hive/Impala, Data Formats, and relational database management systems. Detailed API level knowledge is not needed, as there will not be any programming activities and instead the focus will be on architecture design. The workshop will be divided into small groups to discuss the problems, develop solutions, and present their solutions. DATE: June 23-25, 2026 8:00 - 16:00 (GMT+1 TIMEZONE) Virtual Classroom, EMEA Read more

Overview This five-day course provides the in-depth explanation and skills to become highly productive with Kubernetes by teaching its architecture, deployment, configuration, logging, reporting, and more. Kubernetes's complexity is due to its extensive feature set and intricate object model, which includes concepts like Pods, Deployments, and Services. It also relies on YAML configuration files and requires managing a distributed system across multiple nodes. The course provides references for architecture and recommended practices used by administrators. Download full course description   What you'll learn Understand the architecture of Kubernetes and its components. Deploy and manage applications on Kubernetes. Utilize Kubernetes features for scaling and self-healing. Implement best practices for security and networking. Troubleshoot common issues in Kubernetes environment   Who Should Take This Course? This course is an immersive training for a full range of Kubernetes users, from administrators to DevOps to developers. This course is intended for senior technicians with strong skills in Linux and application lifecycle. Students must have proficiency in Linux CLI. Students must have access to high-speed Internet to download various public Git repositories. The classroom environment is a four-node cluster running on Linux.   DATE: July 6-10, 2026 9:30 - 17:30 (Seoul TIMEZONE) Onsite Classroom, APAC Read more

Apache Ozone is the next-generation hybrid storage service offering versatility and out-of-the-box compatibility. Ozone is an object storage format exceeding the limitations of HDFS. This course teaches architecture, internal operations, installation, file system usage, best practices, security, maintenance, monitoring, tuning and testing. Download full course description  What you'll learn This course teaches the Ozone internal architecture and how to install, use, maintain, monitor, tune, integrate, and test the the Ozone service in a secure environment. Participants will gain the following skills: Understanding the Benefits of Using Ozone Installing and Configuring Secure Ozone Managing Files and Objects in Ozone Performance Tuning and Doing Baseline Tests Controlling Replication and Understanding Failover and Recovery Performing Maintenance Tasks  Monitoring Ozone Using the Recon Service Integrating Hive, Impala, Spark, Nifi, and Flink with Ozone Migrating Data from HDFS to Ozone What to expect This advanced course is for administrators who are currently using CDP Private Cloud Base. The course will appeal to technicians, such as data engineers and applications developers, who are migrating data and applications to Apache Ozone. Prior experience of Cloudera Data Platform, to include HDFS, YARN, and Hive, is expected. Students must have access to the Internet to reach the classroom environments, which are located on Amazon Web Services.   DATE: July 21-24, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC 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. If you click through this course and complete it you will not receive the email. Read more