HPE AI and Machine Learning (0001205272)
Leer met deze training HPE Machine Learning Data Management en HPE Machine Learning Development Environment te gebruiken en bereidt u voor op het HPE2-T38 examen.
Bereidt voor op deze certificering
HPE Product Certified – AI and Machine Learning
Beschrijving
In deze cursus leert u HPE Machine Learning Data Management en HPE Machine Learning Development Environment te gebruiken. Hands-on labs en activiteiten leiden je door machine learning en deep learning fundamenten. Je leert over de architectuur en manieren om HPE machine learning oplossingen te implementeren. U verkent ook HPE Machine Learning Data Management repo’s en pipelines.
Doelstellingen
Deze training leert u:
- Hoe je deep learning experimenten uitvoert en modellen traint met behulp van de HPE Machine Learning Development Environment.
- Het HPE Machine Learning Development System, een oplossing die HPE Machine Learning Development Environment software en HPE infrastructuur combineert.
- Hoe u de HPE Machine Learning Development oplossingen kunt opstellen op basis van klantbehoeften en hoe u een proof of concept of demo-omgeving kunt opzetten.
Doelgroep
Typische kandidaten voor deze cursus zijn studenten die moeten leren hoe ze de HPE Machine Learning Data Management en HPE Machine Learning Development oplossingen moeten beschrijven, positioneren, aanbevelen en demonstreren. Deze cursus helpt kandidaten zich voor te bereiden op het examen: HPE2-T38 – HPE AI and Machine Learning.
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 Solutions’ Value Proposition
- 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
- Using HPE Machine Learning Data Management Capabilities
- Repos and their data versioning and data lineage capabilities
- Pipelines and ways to use them
- Using HPE Machine Learning Development Environment 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
- Model registry
- Qualifying Customers and Running a Demonstration
- 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
De prijs voor deze training is exclusief eventuele kosten voor het afleggen van een examen. Indien er na de training een examenvoucher wordt afgenomen, wordt er een extra factuur gestuurd.
