Using HPE AI and Machine Learning (0001196525)
This course teaches you how to use HPE Machine Learning Development Environment.
Prepares for this certification
HPE Product Certified – AI and Machine Learning
Description
Hands-on labs and activities will guide you through machine learning and deep learning fundamentals. You will explore the HPE Machine Learning Development Environment user interface. You will learn to run deep learning experiments and train models using the HPE Machine Learning Development Environment. You will also learn about HPE Machine Learning Development System, a solution that combines HPE Machine Learning Development Environment software and HPE infrastructure. You will learn to position the HPE Machine Learning Development solutions based on customer needs, as well as how to set up a proof of concept environment.
Target audience
The ideal candidate for this course is anyone who needs to learn how to describe, position, recommend and demonstrate the HPE Machine Learning Development solutions.
List of subjects
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
Objectives
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.
