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  /   Technical Certification   /   HPE AI and Machine Learning

This certification verifies that you can design and support solutions using HPE AI and Machine Learning Development Environment to easily implement and train machine learning models by removing complexities, optimizing cost, and accelerating innovation.


You need an HPE Learner ID and a Pearson VUE login and password.


Register for this Exam

No reference material is allowed at the testing site. This exam may contain beta test items for experimental purposes.


Summary

Exam ID

Exam Type

Exam Duration

Exam Length

Passing Score

Delivery Languages

HPE2-T38

Web based

1 hour 30 minutes

50 questions

70%

English, Japanese, Korean


Details

Ideal candidate

The ideal candidates for this exam are involved in technical presales, including those who can design and demonstrate machine learning solutions, and execute POCs, across the Machine Learning stack. The candidates can align relevant HPE Machine Learning solutions to customer goals and explain the unique benefits of a proposed solution in a way that the technical buyer can understand.

Exam contents

This exam has 50 questions.

Here are types of questions to expect:

Multiple choice (multiple responses), scenario based

Multiple Choice (single response), scenario based

Multiple Choice (multiple responses)

Multiple choice (single response)

Advice to help you take this exam

  • Complete the training and review all course materials and documents before you take the exam.
  • Exam items are based on expected knowledge acquired from job experience, an expected level of industry standard knowledge, or other prerequisites (events, supplemental materials, etc.).
  • Successful completion of the course or study materials alone does not ensure you will pass the exam.

Read the entire question and consider all options before you answer. If the question includes an exhibit, study the exhibit and read the question again. Select the answer that fully responds to the question. If the question asks for more than one answer, select all correct answers. There is no partial credit.


Course Details

1. Understand Machine Learning and Deep Learning Fundamentals

  • Machine learning technology evolution
  • Machine learning and deep learning model training
  • Consideration of issues data scientists confront during model training
  • Standard tools and frameworks for deep learning pipelines such as PyTorch and TensorFlow
  • Hyperparameter optimization (HPO)
  • Distributed (multi-GPU) training

  • HPE Machine Learning Data Management value proposition
  • HPE Machine Learning Development Environment value proposition
  • Common customer challenges in deep learning
  • A high-level look at how HPE Machine Learning Data Management and HPE Machine Learning
  • Development Environment address these challenges
  • Where HPE machine learning solutions fits in the market
  • A high-level look at HPE Machine Learning Data Management and HPE Machine Learning Environment capabilities
  • Distinguishing features of HPE Machine Learning Development Systems

  • Repos and their data versioning and data lineage capabilities
  • Pipelines and ways to use them
  • HPE Machine Learning Development Environment software architecture
  • Flexible options for software-only deployment on on-prem servers or in the cloud
  • Intro to training a model on the HPE Machine Learning Development Environment
  • Detailed AI and Machine Learning training concepts
  • Using HPE Machine Learning Development Environment to run experiments, including experiments that feature distributed training and HPO
  • Experiment concepts and the relationships between workloads, trials, and experiments
  • Scheduling concepts
  • Model registry

  • Engaging and qualifying customers for an HPE Machine Learning Development Environment opportunity
  • Engaging and qualifying customers for an HPE Machine Learning Development System opportunity
  • Running a demonstration


Fees Structure : 12500 INR / 150 USD
Total No of Class : 27 Video Class
Class Duration : 25:30 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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Fees Structure : 18500 INR / 220 USD
Class Duration : 45 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Download Brochure       Pay Online