IBM Storage for AI and Big Data Introduction
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This course introduces the fundamentals of artificial intelligence, machine learning, deep learning, and big data, and explains how these concepts relate to IBM storage solutions. Learners examine major AI and analytics frameworks and explore how IBM products for data and storage support modern AI and big data workloads.
Table of contents
- Short Summary
- Modality
- Cost
- Publish date
- Retire date
- Duration
- Agenda
- Objectives
- Brand/Department
- Product
- Skill Level
- Key Topics
- Audience
- Labs
- Follow-on Courses
Short Summary
This course covers the fundamentals of AI and Big Data and how they relate to the IBM Spectrum Storage suite.
Modality
Free web-based course
Cost
free
Publish Date
November 1, 2022
Retire Date
December 30, 2027
Duration
4 hours
Agenda
Agenda details not provided.
Objectives
- Recall the basic concepts of Artificial Intelligence, Machine Learning, and Deep Learning
- Distinguish between the various Machine Learning/Deep Learning frameworks
- Summarize the ways in which IBM's products for Data and AI improve the AI process
Brand/Department
Spectrum Computing
Product
IBM Spectrum Storage Suite
Skill Level
Instructor: basic, Student: basic
Key Topics
DL08025, Spectrum Storage, Spectrum Scale, Big Data
Audience
- Storage administrators, system administrators, and technical support staff.
Labs
No
Follow-on Courses
- H005G
- SSC20DG
- SSE13DG
- SS01G