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    Published on March 21, 2026

    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.

    IBM Storage for AI and Big Data Introduction
    Table of contents
    1. Short Summary
    2. Modality
    3. Cost
    4. Publish date
    5. Retire date
    6. Duration
    7. Agenda
    8. Objectives
    9. Brand/Department
    10. Product
    11. Skill Level
    12. Key Topics
    13. Audience
    14. Labs
    15. 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 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
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