NA- DATAOPS Scaling DataOps with NetApp AI Control Plane(Delivered by Fast Lane)
Duration
2 Days
Price
$1.00
Course Type
Virtual / Physical
Explore NetApp® AI Control Plane with DataOps Toolkit and Astra™ Trident to manage AI workloads. Learn ML with Jupyter, Kubeflow, KServe, and fine-tune GenAI models using RAG. Updated for Kubernetes v1.29, Astra Trident 24.06, and Kubeflow 1.8.1.
Learning Objectives
This course focuses on enabling you to do the following:
Describe the different software components in the ONTAP architecture
Describe the advantages of using NetApp AI software solutions to manage inferencing workloads
Install data operations (DataOps) tools
Use NetApp DataOps Toolkit to manage storage in inferencing pipelines
Build generative AI (GenAI) solutions using NetApp solutions
Discuss how to scale out and scale up inferencing workloads using NetApp solutions
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Course Outline
1 - Module 1: Introduction
- Introduction to AI
- Inference modeling
- DataOps
- NetApp and DataOps
2 - Module 2: Installation
- Kubeflow
- NetApp DataOps Toolkit
3 - Module 3: DataOps
- Model lifecycle
- DataOps methodology
- DataOps tasks
- Case study
4 - Module 4: DataOps in generative AI
- Transformer models
- Selecting a transformer model
- Inferencing and modifying output
5 - Module 5: DataOps at scale
- Scaling ML projects
- Hardware solutions
- Cloud solutions and services
Target Audience
Systems administrator, architect, and integration engineer