Data Engineering Immersion Bootcamp (Premium Live Series and Self-Paced) – Survey

After the success of Linux Fundamentals live series, we are planning to adapt that model and have a 5+ month live series on Data Engineering which covers 90% of the skills to be successful Data Engineer.

Please fill both the surveys so that we can understand where the traffic is coming from as well what you are interested in:Here are the salient features:

  • Entire Big Data eco system
  • 160+ hours of high quality sessions
  • 80+ sessions over a period of 5 months (1 to 3 hours each)
  • Same price for live sessions as well as self paced
  • Highly modularized (price will be around $25 for each module out of 20+ modules excluding lab or $300 for all modules including lab for 1 year)
  • Tightly integrated with our labs (most of the services will be available on the lab)
  • Ability to subscribe for individual modules or group them or subscribe to the entire category
  • Follow up expert live sessions to troubleshoot the issues.
  • Follow up workshops on new technologies in Data Engineering
  • One course covering all certifications (at least by 80%)

We will communicate details about the schedule very soon.

23 thoughts on “Data Engineering Immersion Bootcamp (Premium Live Series and Self-Paced) – Survey”

    1. Highly modularized (price will be around $25 for each module out of 20+ modules excluding lab or $300 for all modules including lab for 1 year)

  1. I am Interested in Data engineering immersion training. I need self paced training. Can I get One year lab access with that as well. Please let me know how to get this self paced training.

  2. Would like to see Flink/Ignite/Nifi in the course curriculum. Those stand advanced over other conventional methods.

    1. This was the old Bootcamp which is completed, we are creating a self-paced data engineering course, please check the updates from Itversity, to register for the self-paced Boot camp course.

  3. This video format is not supported. I guess the one you have uploaded from google drive ar enot getting supported.Please suggest what is needed to be done

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