Using HPE AI and Machine Learning (0001196525)
In deze cursus leert u hoe u de HPE Machine Learning Development Environment kunt gebruiken.
Bereidt voor op deze certificering
HPE Product Certified – AI and Machine Learning [2022]
Beschrijving
Hands-on labs en activiteiten leiden u door machine learning en deep learning fundamenten. U verkent de HPE Machine Learning Development Environment gebruikersinterface. U leert deep learning experimenten uit te voeren en modellen te trainen met behulp van de HPE Machine Learning Development Environment. U leert ook over HPE Machine Learning Development System, een oplossing die HPE Machine Learning Development Environment software en HPE infrastructuur combineert. U leert de HPE Machine Learning Development oplossingen te formuleren op basis van klantbehoeften, en hoe u een proof of concept omgeving opzet.
Doelgroep
De ideale kandidaat voor deze cursus is iedereen die de HPE Machine Learning Development oplossingen moet leren beschrijven, positioneren, aanbevelen en demonstreren.
Lijst van onderwerpen
- 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
- Describe HPE Machine Learning Development solutions’ value proposition
- HPE Machine Learning Development Environment value proposition
- Common customer challenges in deep learning
- A high-level look at how HPE Machine Learning Environment addresses these challenges
- Where HPE Machine Learning Development Environment fits in the market
- A high-level look at HPE Machine Learning Environment capabilities
- Order process for HPE Machine Learning Development System
- Distinguishing features of HPE Machine Learning Development Systems
- Using Determined AI to Train Models
- 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
- Qualifying Customers and Running a Proof of Concept
- 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 Proof of Concept
Doelstellingen
- After you successfully complete this course, expect to be able to:
- Understand Machine Learning and Deep Learning Fundamentals
- Describe the HPE AI and Machine Learning Development Environment value proposition Use the HPE
- AI and Machine Learning Development Environment to Train Models
- Use the HPE AI and Machine Learning Development Environment to Run Experiments
- Qualify customers and perform a Proof-of-Concept
The price for this course excludes any costs for taking an exam. If an exam voucher is taken after the training, an additional invoice will be sent.
