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Cloudera University OnDemand Library

Get access to all the courses via our OnDemand portal for one year with 100 hours of access to the cloud hosted hands-on exercise environments.

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Free OnDemand Tutorials

Free access to select content within Cloudera's OnDemand Library.

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Ways to learn


Offering industry-leading, real-world skills development: live in-person instruction in a professional classroom setting. Training includes instructor-led lecture, classroom discussion, and comprehensive hands-on lab exercises.

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Benefit from instructor-led training with the added flexibility distributed teams require with training in a virtual classroom. Training includes instructor-led lectures, collaborative interaction with other attendees, and illustrative hands-on lab exercises. 

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Blended Learning

Combine the flexibility of self-paced learning, with the benefits of live instructor-led sessions. Assigned OnDemand lessons and hands-on lab exercises are completed at your convenience and instructor-led sessions provide engagement for content and exercise review, and participation in open Q&A.

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OnDemand training

Access full training sessions anywhere, at any time, and at your own pace. Cloudera University OnDemand courses for developers, analysts, administrators, and aspiring data scientists are developed and taught by industry experts. Many OnDemand courses include exercises that are completed in a cloud-based lab environment, providing practical skills-based experience.

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Private training

Cloudera University Training when and where you want it. Onsite sessions enables your team members to stay on-track and learn in a collaborative environment. Cross-train your developers, analysts, administrators, and data scientists by tailoring a curriculum to your organizational needs with one of Cloudera’s world-class instructors.

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Thousands of enterprises solve their biggest data challenges with Cloudera

Magnify Helps the Fortune 100 Access a 360-degree Customer View

Magnify Helps the Fortune 100 Access a 360-degree Customer View through a Self-serve Data Hub

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